A spatially resolved single-cell genomic atlas of the adult human breast

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class="c-article-author-list__item"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Tapsi-Kumar-Aff1-Aff2" data-author-popup="auth-Tapsi-Kumar-Aff1-Aff2" data-author-search="Kumar, Tapsi">Tapsi Kumar</a><span class="u-js-hide"> <a class="js-orcid" href="http://orcid.org/0000-0003-2825-3387"><span class="u-visually-hidden">ORCID: </span>orcid.org/0000-0003-2825-3387</a></span><sup class="u-js-hide"><a href="#Aff1">1</a>,<a href="#Aff2">2</a></sup><sup class="u-js-hide"> <a href="#na1">na1</a></sup>, </li><li class="c-article-author-list__item"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Kevin-Nee-Aff3" data-author-popup="auth-Kevin-Nee-Aff3" data-author-search="Nee, Kevin">Kevin Nee</a><sup class="u-js-hide"><a href="#Aff3">3</a></sup><sup class="u-js-hide"> <a href="#na1">na1</a></sup>, </li><li class="c-article-author-list__item 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Nguyen</a><sup class="u-js-hide"><a href="#Aff3">3</a></sup><sup class="u-js-hide"> <a href="#na1">na1</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Shanshan-Bai-Aff1" data-author-popup="auth-Shanshan-Bai-Aff1" data-author-search="Bai, Shanshan">Shanshan Bai</a><sup class="u-js-hide"><a href="#Aff1">1</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Kerrigan-Blake-Aff4-Aff5" data-author-popup="auth-Kerrigan-Blake-Aff4-Aff5" data-author-search="Blake, Kerrigan">Kerrigan Blake</a><sup class="u-js-hide"><a href="#Aff4">4</a>,<a href="#Aff5">5</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Maren-Pein-Aff3-Aff4" data-author-popup="auth-Maren-Pein-Aff3-Aff4" data-author-search="Pein, Maren">Maren Pein</a><span class="u-js-hide"> <a class="js-orcid" href="http://orcid.org/0000-0002-7906-5960"><span class="u-visually-hidden">ORCID: </span>orcid.org/0000-0002-7906-5960</a></span><sup class="u-js-hide"><a href="#Aff3">3</a>,<a href="#Aff4">4</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Yanwen-Gong-Aff3-Aff5" data-author-popup="auth-Yanwen-Gong-Aff3-Aff5" data-author-search="Gong, Yanwen">Yanwen Gong</a><sup class="u-js-hide"><a href="#Aff3">3</a>,<a href="#Aff5">5</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Emi-Sei-Aff1" data-author-popup="auth-Emi-Sei-Aff1" data-author-search="Sei, Emi">Emi Sei</a><sup class="u-js-hide"><a href="#Aff1">1</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Min-Hu-Aff1" data-author-popup="auth-Min-Hu-Aff1" data-author-search="Hu, Min">Min Hu</a><sup class="u-js-hide"><a href="#Aff1">1</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Anna_K_-Casasent-Aff1" data-author-popup="auth-Anna_K_-Casasent-Aff1" data-author-search="Casasent, Anna K.">Anna K. Casasent</a><sup class="u-js-hide"><a href="#Aff1">1</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Aatish-Thennavan-Aff1" data-author-popup="auth-Aatish-Thennavan-Aff1" data-author-search="Thennavan, Aatish">Aatish Thennavan</a><sup class="u-js-hide"><a href="#Aff1">1</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Jianzhuo-Li-Aff1" data-author-popup="auth-Jianzhuo-Li-Aff1" data-author-search="Li, Jianzhuo">Jianzhuo Li</a><sup class="u-js-hide"><a href="#Aff1">1</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Tuan-Tran-Aff1" data-author-popup="auth-Tuan-Tran-Aff1" data-author-search="Tran, Tuan">Tuan Tran</a><sup class="u-js-hide"><a href="#Aff1">1</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Ken-Chen-Aff6" data-author-popup="auth-Ken-Chen-Aff6" data-author-search="Chen, Ken">Ken Chen</a><span class="u-js-hide"> <a class="js-orcid" href="http://orcid.org/0000-0003-4013-5279"><span class="u-visually-hidden">ORCID: </span>orcid.org/0000-0003-4013-5279</a></span><sup class="u-js-hide"><a href="#Aff6">6</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Benedikt-Nilges-Aff7" data-author-popup="auth-Benedikt-Nilges-Aff7" data-author-search="Nilges, Benedikt">Benedikt Nilges</a><sup class="u-js-hide"><a href="#Aff7">7</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Nachiket-Kashikar-Aff7" data-author-popup="auth-Nachiket-Kashikar-Aff7" data-author-search="Kashikar, Nachiket">Nachiket Kashikar</a><sup class="u-js-hide"><a href="#Aff7">7</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Oliver-Braubach-Aff8" data-author-popup="auth-Oliver-Braubach-Aff8" data-author-search="Braubach, Oliver">Oliver Braubach</a><sup class="u-js-hide"><a href="#Aff8">8</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Bassem-Cheikh-Aff8" data-author-popup="auth-Bassem-Cheikh-Aff8" data-author-search="Ben Cheikh, Bassem">Bassem Ben Cheikh</a><sup class="u-js-hide"><a href="#Aff8">8</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Nadya-Nikulina-Aff8" data-author-popup="auth-Nadya-Nikulina-Aff8" data-author-search="Nikulina, Nadya">Nadya Nikulina</a><sup class="u-js-hide"><a href="#Aff8">8</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Hui-Chen-Aff9" data-author-popup="auth-Hui-Chen-Aff9" data-author-search="Chen, Hui">Hui Chen</a><sup class="u-js-hide"><a href="#Aff9">9</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Mediget-Teshome-Aff10" data-author-popup="auth-Mediget-Teshome-Aff10" data-author-search="Teshome, Mediget">Mediget Teshome</a><sup class="u-js-hide"><a href="#Aff10">10</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Brian-Menegaz-Aff11" data-author-popup="auth-Brian-Menegaz-Aff11" data-author-search="Menegaz, Brian">Brian Menegaz</a><span class="u-js-hide"> <a class="js-orcid" href="http://orcid.org/0000-0002-3020-5790"><span class="u-visually-hidden">ORCID: </span>orcid.org/0000-0002-3020-5790</a></span><sup class="u-js-hide"><a href="#Aff11">11</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Huma-Javaid-Aff11" data-author-popup="auth-Huma-Javaid-Aff11" data-author-search="Javaid, Huma">Huma Javaid</a><sup class="u-js-hide"><a href="#Aff11">11</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Chandandeep-Nagi-Aff11" data-author-popup="auth-Chandandeep-Nagi-Aff11" data-author-search="Nagi, Chandandeep">Chandandeep Nagi</a><sup class="u-js-hide"><a href="#Aff11">11</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Jessica-Montalvan-Aff11" data-author-popup="auth-Jessica-Montalvan-Aff11" data-author-search="Montalvan, Jessica">Jessica Montalvan</a><sup class="u-js-hide"><a href="#Aff11">11</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Tatyana-Lev-Aff4-Aff5" data-author-popup="auth-Tatyana-Lev-Aff4-Aff5" data-author-search="Lev, Tatyana">Tatyana Lev</a><sup class="u-js-hide"><a href="#Aff4">4</a>,<a href="#Aff5">5</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Sharmila-Mallya-Aff4" data-author-popup="auth-Sharmila-Mallya-Aff4" data-author-search="Mallya, Sharmila">Sharmila Mallya</a><sup class="u-js-hide"><a href="#Aff4">4</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Delia_F_-Tifrea-Aff12" data-author-popup="auth-Delia_F_-Tifrea-Aff12" data-author-search="Tifrea, Delia F.">Delia F. Tifrea</a><sup class="u-js-hide"><a href="#Aff12">12</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Robert-Edwards-Aff12" data-author-popup="auth-Robert-Edwards-Aff12" data-author-search="Edwards, Robert">Robert Edwards</a><sup class="u-js-hide"><a href="#Aff12">12</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Erin-Lin-Aff12" data-author-popup="auth-Erin-Lin-Aff12" data-author-search="Lin, Erin">Erin Lin</a><sup class="u-js-hide"><a href="#Aff12">12</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Ritesh-Parajuli-Aff12" data-author-popup="auth-Ritesh-Parajuli-Aff12" data-author-search="Parajuli, Ritesh">Ritesh Parajuli</a><sup class="u-js-hide"><a href="#Aff12">12</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Summer-Hanson-Aff13" data-author-popup="auth-Summer-Hanson-Aff13" data-author-search="Hanson, Summer">Summer Hanson</a><span class="u-js-hide"> <a class="js-orcid" href="http://orcid.org/0000-0002-4106-9819"><span class="u-visually-hidden">ORCID: </span>orcid.org/0000-0002-4106-9819</a></span><sup class="u-js-hide"><a href="#Aff13">13</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Sebastian-Winocour-Aff14" data-author-popup="auth-Sebastian-Winocour-Aff14" data-author-search="Winocour, Sebastian">Sebastian Winocour</a><sup class="u-js-hide"><a href="#Aff14">14</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Alastair-Thompson-Aff14" data-author-popup="auth-Alastair-Thompson-Aff14" data-author-search="Thompson, Alastair">Alastair Thompson</a><sup class="u-js-hide"><a href="#Aff14">14</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Bora-Lim-Aff15" data-author-popup="auth-Bora-Lim-Aff15" data-author-search="Lim, Bora">Bora Lim</a><span class="u-js-hide"> <a class="js-orcid" href="http://orcid.org/0000-0002-4182-6058"><span class="u-visually-hidden">ORCID: </span>orcid.org/0000-0002-4182-6058</a></span><sup class="u-js-hide"><a href="#Aff15">15</a></sup><sup class="u-js-hide"> <a href="#na2">na2</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Devon_A_-Lawson-Aff4" data-author-popup="auth-Devon_A_-Lawson-Aff4" data-author-search="Lawson, Devon A." data-corresp-id="c1">Devon A. Lawson<svg width="16" height="16" focusable="false" role="img" aria-hidden="true" class="u-icon"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#icon-eds-i-mail-medium"></use></svg></a><span class="u-js-hide"> <a class="js-orcid" href="http://orcid.org/0000-0003-1692-0517"><span class="u-visually-hidden">ORCID: </span>orcid.org/0000-0003-1692-0517</a></span><sup class="u-js-hide"><a href="#Aff4">4</a></sup><sup class="u-js-hide"> <a href="#na2">na2</a></sup>, </li><li class="c-article-author-list__item c-article-author-list__item--hide c-article-author-list__item--hide-small-screen"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Kai-Kessenbrock-Aff3" data-author-popup="auth-Kai-Kessenbrock-Aff3" data-author-search="Kessenbrock, Kai" data-corresp-id="c2">Kai Kessenbrock<svg width="16" height="16" focusable="false" role="img" aria-hidden="true" class="u-icon"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#icon-eds-i-mail-medium"></use></svg></a><span class="u-js-hide"> <a class="js-orcid" href="http://orcid.org/0000-0003-0410-6104"><span class="u-visually-hidden">ORCID: </span>orcid.org/0000-0003-0410-6104</a></span><sup class="u-js-hide"><a href="#Aff3">3</a></sup><sup class="u-js-hide"> <a href="#na2">na2</a></sup> & </li><li class="c-article-author-list__show-more" aria-label="Show all 40 authors for this article" title="Show all 40 authors for this article">…</li><li class="c-article-author-list__item"><a data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" href="#auth-Nicholas-Navin-Aff1-Aff2-Aff6" data-author-popup="auth-Nicholas-Navin-Aff1-Aff2-Aff6" data-author-search="Navin, Nicholas" data-corresp-id="c3">Nicholas Navin<svg width="16" height="16" focusable="false" role="img" aria-hidden="true" class="u-icon"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#icon-eds-i-mail-medium"></use></svg></a><span class="u-js-hide"> <a class="js-orcid" href="http://orcid.org/0000-0002-2106-8624"><span class="u-visually-hidden">ORCID: </span>orcid.org/0000-0002-2106-8624</a></span><sup class="u-js-hide"><a href="#Aff1">1</a>,<a href="#Aff2">2</a>,<a href="#Aff6">6</a></sup><sup class="u-js-hide"> <a href="#na2">na2</a></sup> </li></ul><button aria-expanded="false" class="c-article-author-list__button"><svg width="16" height="16" focusable="false" role="img" aria-hidden="true" class="u-icon"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#icon-eds-i-chevron-down-medium"></use></svg><span>Show authors</span></button> <p class="c-article-info-details" data-container-section="info"> <a data-test="journal-link" href="/" data-track="click" data-track-action="journal homepage" data-track-category="article body" data-track-label="link"><i data-test="journal-title">Nature</i></a> <b data-test="journal-volume"><span class="u-visually-hidden">volume</span> 620</b>, <span class="u-visually-hidden">pages </span>181–191 (<span data-test="article-publication-year">2023</span>)<a href="#citeas" class="c-article-info-details__cite-as u-hide-print" data-track="click" data-track-action="cite this article" data-track-label="link">Cite this article</a> </p> <div class="c-article-metrics-bar__wrapper u-clear-both"> <ul class="c-article-metrics-bar u-list-reset"> <li class=" c-article-metrics-bar__item" data-test="access-count"> <p class="c-article-metrics-bar__count">47k <span class="c-article-metrics-bar__label">Accesses</span></p> </li> <li class="c-article-metrics-bar__item" data-test="altmetric-score"> <p class="c-article-metrics-bar__count">305 <span class="c-article-metrics-bar__label">Altmetric</span></p> </li> <li class="c-article-metrics-bar__item"> <p class="c-article-metrics-bar__details"><a href="/articles/s41586-023-06252-9/metrics" data-track="click" data-track-action="view metrics" data-track-label="link" rel="nofollow">Metrics <span class="u-visually-hidden">details</span></a></p> </li> </ul> </div> </header> <div class="u-js-hide" data-component="article-subject-links"> <h3 class="c-article__sub-heading">Subjects</h3> <ul class="c-article-subject-list"> <li class="c-article-subject-list__subject"><a href="/subjects/gene-expression" data-track="click" data-track-action="view subject" data-track-label="link">Gene expression</a></li><li class="c-article-subject-list__subject"><a href="/subjects/gene-expression-profiling" data-track="click" data-track-action="view subject" data-track-label="link">Gene expression profiling</a></li><li class="c-article-subject-list__subject"><a href="/subjects/gene-regulatory-networks" data-track="click" data-track-action="view subject" data-track-label="link">Gene regulatory networks</a></li> </ul> </div> </div> <div class="c-article-body"> <section aria-labelledby="Abs1" data-title="Abstract" lang="en"><div class="c-article-section" id="Abs1-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="Abs1">Abstract</h2><div class="c-article-section__content" id="Abs1-content"><p>The adult human breast is comprised of an intricate network of epithelial ducts and lobules that are embedded in connective and adipose tissue<sup><a data-track="click" data-track-action="reference anchor" data-track-label="link" data-test="citation-ref" title="Hassiotou, F. & Geddes, D. Anatomy of the human mammary gland: current status of knowledge. Clin. Anat. 26, 29–48 (2013)." href="#ref-CR1" id="ref-link-section-d3305638e1032">1</a>,<a data-track="click" data-track-action="reference anchor" data-track-label="link" data-test="citation-ref" title="Russo, J., Rivera, R. & Russo, I. H. Influence of age and parity on the development of the human breast. Breast Cancer Res. Treat. 23, 211–218 (1992)." href="#ref-CR2" id="ref-link-section-d3305638e1032_1">2</a>,<a data-track="click" data-track-action="reference anchor" data-track-label="link" data-test="citation-ref" aria-label="Reference 3" title="Gusterson, B. A. & Stein, T. Human breast development. Semin. Cell Dev. Biol. 23, 567–573 (2012)." href="/articles/s41586-023-06252-9#ref-CR3" id="ref-link-section-d3305638e1035">3</a></sup>. Although most previous studies have focused on the breast epithelial system<sup><a data-track="click" data-track-action="reference anchor" data-track-label="link" data-test="citation-ref" title="Nguyen, Q. H. et al. Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity. Nat. Commun. 9, 2028 (2018)." href="#ref-CR4" id="ref-link-section-d3305638e1039">4</a>,<a data-track="click" data-track-action="reference anchor" data-track-label="link" data-test="citation-ref" title="Bach, K. et al. Differentiation dynamics of mammary epithelial cells revealed by single-cell RNA sequencing. Nat. Commun. 8, 2128 (2017)." href="#ref-CR5" id="ref-link-section-d3305638e1039_1">5</a>,<a data-track="click" data-track-action="reference anchor" data-track-label="link" data-test="citation-ref" aria-label="Reference 6" title="Bhat-Nakshatri, P. et al. A single-cell atlas of the healthy breast tissues reveals clinically relevant clusters of breast epithelial cells. Cell Rep. Med. 2, 100219 (2021)." href="/articles/s41586-023-06252-9#ref-CR6" id="ref-link-section-d3305638e1042">6</a></sup>, many of the non-epithelial cell types remain understudied. Here we constructed the comprehensive Human Breast Cell Atlas (HBCA) at single-cell and spatial resolution. Our single-cell transcriptomics study profiled 714,331 cells from 126 women, and 117,346 nuclei from 20 women, identifying 12 major cell types and 58 biological cell states. These data reveal abundant perivascular, endothelial and immune cell populations, and highly diverse luminal epithelial cell states. Spatial mapping using four different technologies revealed an unexpectedly rich ecosystem of tissue-resident immune cells, as well as distinct molecular differences between ductal and lobular regions. Collectively, these data provide a reference of the adult normal breast tissue for studying mammary biology and diseases such as breast cancer.</p></div></div></section> <noscript> <div class="c-nature-box c-nature-box--side " data-component="entitlement-box"> <div class="js-access-button"> <a href="https://wayf.springernature.com?redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41586-023-06252-9" class="c-article__button" data-test="ra21"> <svg class="u-icon" width="18" height="18" aria-hidden="true" focusable="false"><use href="#icon-institution"></use></svg> <span class="c-article__button-text">Access through your institution</span> </a> </div> <div class="js-buy-button"> <a href="#access-options" class="c-article__button c-article__button--inverted" data-test="ra21"> <span>Buy or subscribe</span> </a> </div> </div> </noscript> <div class="js-context-bar-sticky-point-mobile" data-track-context="article body"> </div> <div class="c-article-access-provider u-mb-32 u-mt-0"> <p 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class="c-article-section__figure-content"><div class="c-article-section__figure-item"><picture><source type="image/webp" srcset="//media.springernature.com/m312/springer-static/image/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig2_HTML.png?as=webp"><img src="//media.springernature.com/m312/springer-static/image/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig2_HTML.png" alt="" loading="lazy" width="312" height="254"></picture></div></div></figure></div><div class="c-article-section__figure js-c-reading-companion-figures-item" data-test="figure" data-container-section="figure" id="figure-3"><figure><figcaption><b id="Fig3" class="c-article-section__figure-caption" data-test="figure-caption-text">Fig. 3: Epithelial cells of the human breast.</b></figcaption><div class="c-article-section__figure-content"><div class="c-article-section__figure-item"><picture><source type="image/webp" srcset="//media.springernature.com/m312/springer-static/image/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig3_HTML.png?as=webp"><img src="//media.springernature.com/m312/springer-static/image/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig3_HTML.png" alt="" loading="lazy" width="312" height="308"></picture></div></div></figure></div><div class="c-article-section__figure js-c-reading-companion-figures-item" data-test="figure" data-container-section="figure" id="figure-4"><figure><figcaption><b id="Fig4" class="c-article-section__figure-caption" data-test="figure-caption-text">Fig. 4: Immune cell ecosystem in human breast tissues.</b></figcaption><div class="c-article-section__figure-content"><div class="c-article-section__figure-item"><picture><source type="image/webp" srcset="//media.springernature.com/m312/springer-static/image/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig4_HTML.png?as=webp"><img src="//media.springernature.com/m312/springer-static/image/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig4_HTML.png" alt="" loading="lazy" width="297" height="312"></picture></div></div></figure></div><div class="c-article-section__figure js-c-reading-companion-figures-item" data-test="figure" data-container-section="figure" id="figure-5"><figure><figcaption><b id="Fig5" class="c-article-section__figure-caption" data-test="figure-caption-text">Fig. 5: Breast fibroblasts and adipocytes.</b></figcaption><div class="c-article-section__figure-content"><div class="c-article-section__figure-item"><picture><source type="image/webp" srcset="//media.springernature.com/m312/springer-static/image/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig5_HTML.png?as=webp"><img src="//media.springernature.com/m312/springer-static/image/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig5_HTML.png" alt="" loading="lazy" width="312" height="231"></picture></div></div></figure></div><div class="c-article-section__figure js-c-reading-companion-figures-item" data-test="figure" data-container-section="figure" id="figure-6"><figure><figcaption><b id="Fig6" class="c-article-section__figure-caption" data-test="figure-caption-text">Fig. 6: Vascular, perivascular and lymphatic cells in the human breast.</b></figcaption><div class="c-article-section__figure-content"><div class="c-article-section__figure-item"><picture><source type="image/webp" srcset="//media.springernature.com/m312/springer-static/image/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig6_HTML.png?as=webp"><img src="//media.springernature.com/m312/springer-static/image/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig6_HTML.png" alt="" loading="lazy" width="311" height="312"></picture></div></div></figure></div> </div> <section aria-labelledby="inline-recommendations" data-title="Inline Recommendations" 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class="c-article-meta-recommendations__date">19 December 2023</span> </div> </div> </article> </div> </div> </section> <script> window.dataLayer = window.dataLayer || []; window.dataLayer.push({ recommendations: { recommender: 'semantic', model: 'specter', policy_id: 'NA', timestamp: 1740138200, embedded_user: 'null' } }); </script> <div class="u-mt-32"> <section data-title="Data availability"><div class="c-article-section" id="data-availability-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="data-availability">Data availability</h2><div class="c-article-section__content" id="data-availability-content"> <p>The HBCA website can be viewed at <a href="http://www.breastatlas.org">http://www.breastatlas.org</a>. The data are available at the Gene Expression Omnibus (<a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE195665">GSE195665</a>). The data are also available from CZI in the CELLxGENE database (<a href="https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731">https://cellxgene.cziscience.com/collections/4195ab4c-20bd-4cd3-8b3d-65601277e731</a>).</p> </div></div></section><section data-title="Code availability"><div class="c-article-section" id="code-availability-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="code-availability">Code availability</h2><div class="c-article-section__content" id="code-availability-content"> <p>The scripts associated with the analysis are available at GitHub (<a href="https://github.com/navinlabcode/HumanBreastCellAtlas">https://github.com/navinlabcode/HumanBreastCellAtlas</a>).</p> </div></div></section><div id="MagazineFulltextArticleBodySuffix"><section aria-labelledby="Bib1" data-title="References"><div class="c-article-section" id="Bib1-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="Bib1">References</h2><div class="c-article-section__content" id="Bib1-content"><div data-container-section="references"><ol class="c-article-references" data-track-component="outbound reference" data-track-context="references section"><li class="c-article-references__item js-c-reading-companion-references-item" data-counter="1."><p class="c-article-references__text" id="ref-CR1">Hassiotou, F. & Geddes, D. 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Navin from the NIH National Cancer Institute (RO1CA240526, RO1CA236864, 1R01CA234496, F30CA243419), the CPRIT Single Cell Genomics Center (RP180684), the American Cancer Society (132551-RSG-18-194-01-DDC). N. Navin is an AAAS Fellow, AAAS Wachtel Scholar, Damon-Runyon Rachleff Innovator, Andrew Sabin Fellow and Jack & Beverly Randall Innovator. T.K. is funded by the NCI T32 Translational Genomics Fellowship and Rosalie B. Hite fellowship. This study was supported by the MD Anderson Sequencing Core Facility Grant (CA016672). M.P. is supported by a fellowship from the CIRM Training Grant (EDUC4-12822). The work was also supported by a Damon-Runyon Quantitative Biology Postdoctoral Fellow to R.W. We thank B. Marshall, N. Tavares and J. Cool for their guidance and support; J. Waters, S. Stingley and L. Vann from for their support on this project; J. Wiley, A. Wood, A. Alexander and A. Contreras for clinical support; A. Longworth, S. Mallya and M. Curran for their advice; Y. Lin and R. Ye at MD Anderson for help with experiments; J. Zamanian and J. Yu-Sheng Chien for assistance with data depositing; and all of the women who participated in the HBCA and donated their breast tissue to this project. We thank Enable Medicine for their help with CODEX data generation. This publication is part of the HCA (<a href="http://www.humancellatlas.org">www.humancellatlas.org</a>).</p></div></div></section><section aria-labelledby="author-information" data-title="Author information"><div class="c-article-section" id="author-information-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="author-information">Author information</h2><div class="c-article-section__content" id="author-information-content"><span class="c-article-author-information__subtitle u-visually-hidden" id="author-notes">Author notes</span><ol class="c-article-author-information__list"><li class="c-article-author-information__item" id="na1"><p>These authors contributed equally: Tapsi Kumar, Kevin Nee, Runmin Wei, Siyuan He, Quy H. Nguyen</p></li><li class="c-article-author-information__item" id="na2"><p>These authors jointly supervised this work: Bora Lim, Devon A. Lawson, Kai Kessenbrock, Nicholas Navin</p></li></ol><h3 class="c-article__sub-heading" id="affiliations">Authors and Affiliations</h3><ol class="c-article-author-affiliation__list"><li id="Aff1"><p class="c-article-author-affiliation__address">Department of Systems Biology, UT MD Anderson Cancer Center, Houston, TX, USA</p><p class="c-article-author-affiliation__authors-list">Tapsi Kumar, Runmin Wei, Siyuan He, Shanshan Bai, Emi Sei, Min Hu, Anna K. Casasent, Aatish Thennavan, Jianzhuo Li, Tuan Tran & Nicholas Navin</p></li><li id="Aff2"><p class="c-article-author-affiliation__address">Graduate School of Biomedical Sciences, University of Texas MD Anderson Cancer Center, Houston, TX, USA</p><p class="c-article-author-affiliation__authors-list">Tapsi Kumar, Siyuan He & Nicholas Navin</p></li><li id="Aff3"><p class="c-article-author-affiliation__address">Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA</p><p class="c-article-author-affiliation__authors-list">Kevin Nee, Quy H. Nguyen, Maren Pein, Yanwen Gong & Kai Kessenbrock</p></li><li id="Aff4"><p class="c-article-author-affiliation__address">Department of Physiology and Biophysics, University of California, Irvine, Irvine, CA, USA</p><p class="c-article-author-affiliation__authors-list">Kerrigan Blake, Maren Pein, Tatyana Lev, Sharmila Mallya & Devon A. Lawson</p></li><li id="Aff5"><p class="c-article-author-affiliation__address">Math, Computational & Systems Biology, University of California, Irvine, Irvine, CA, USA</p><p class="c-article-author-affiliation__authors-list">Kerrigan Blake, Yanwen Gong & Tatyana Lev</p></li><li id="Aff6"><p class="c-article-author-affiliation__address">Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX, USA</p><p class="c-article-author-affiliation__authors-list">Ken Chen & Nicholas Navin</p></li><li id="Aff7"><p class="c-article-author-affiliation__address">Resolve Biosciences, Monheim am Rhein, Germany</p><p class="c-article-author-affiliation__authors-list">Benedikt Nilges & Nachiket Kashikar</p></li><li id="Aff8"><p class="c-article-author-affiliation__address">Akoya Biosciences, Menlo Park, CA, USA</p><p class="c-article-author-affiliation__authors-list">Oliver Braubach, Bassem Ben Cheikh & Nadya Nikulina</p></li><li id="Aff9"><p class="c-article-author-affiliation__address">Department of Pathology, UT MD Anderson Cancer Center, Houston, TX, USA</p><p class="c-article-author-affiliation__authors-list">Hui Chen</p></li><li id="Aff10"><p class="c-article-author-affiliation__address">Department of Breast Surgical Oncology, UT MD Anderson Cancer Center, Houston, TX, USA</p><p class="c-article-author-affiliation__authors-list">Mediget Teshome</p></li><li id="Aff11"><p class="c-article-author-affiliation__address">Department of Pathology and Immunology, Baylor Medical College, Houston, TX, USA</p><p class="c-article-author-affiliation__authors-list">Brian Menegaz, Huma Javaid, Chandandeep Nagi & Jessica Montalvan</p></li><li id="Aff12"><p class="c-article-author-affiliation__address">Chao Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, USA</p><p class="c-article-author-affiliation__authors-list">Delia F. Tifrea, Robert Edwards, Erin Lin & Ritesh Parajuli</p></li><li id="Aff13"><p class="c-article-author-affiliation__address">Department of Surgery, University of Chicago Medicine, Chicago, IL, USA</p><p class="c-article-author-affiliation__authors-list">Summer Hanson</p></li><li id="Aff14"><p class="c-article-author-affiliation__address">Department of Surgery, Baylor College of Medicine, Houston, TX, USA</p><p class="c-article-author-affiliation__authors-list">Sebastian Winocour & Alastair Thompson</p></li><li id="Aff15"><p class="c-article-author-affiliation__address">Department of Medicine, Section of Hematology and Oncology, Baylor College of Medicine, Houston, TX, USA</p><p class="c-article-author-affiliation__authors-list">Bora Lim</p></li></ol><div class="u-js-hide u-hide-print" data-test="author-info"><span class="c-article__sub-heading">Authors</span><ol class="c-article-authors-search u-list-reset"><li id="auth-Tapsi-Kumar-Aff1-Aff2"><span class="c-article-authors-search__title u-h3 js-search-name">Tapsi Kumar</span><div class="c-article-authors-search__list"><div class="c-article-authors-search__item c-article-authors-search__list-item--left"><a href="/search?author=Tapsi%20Kumar" class="c-article-button" data-track="click" data-track-action="author link - 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Spatial genomics experiments were performed by S.B., E.S., B.N., N.K., O.B., B.B.C. and N. Nikulina. Single-cell data analysis was performed by T.K., R.W., S. He., K.B., M.P., Y.G., M.H., A.K.C., B.N., N.K., K.C. and T.L. Spatial data analysis was performed by R.W., S. He and A. Thennavan. Tissue samples and clinical coordination was performed by O.B., B.B.C., H.C., A.K.C., M.T., B.M., H.J., J.M., R.E., D.F.T., C.N., E.L., R.P., S.W., S.M., A. Thompson, B.L. and S. Hanson. Tissue pathological analysis was performed by H.C., C.N. and A. Thennavan. Project management and manuscript writing was performed by B.L., D.A.L., N. Navin and K.K. N. Navin and K.K. are the coordinators for the Breast Atlas Bionetwork that is part of the HCA Project.</p><h3 class="c-article__sub-heading" id="corresponding-author">Corresponding authors</h3><p id="corresponding-author-list">Correspondence to <a id="corresp-c1" href="mailto:dalawson@uci.edu">Devon A. Lawson</a>, <a id="corresp-c2" href="mailto:kai.kessenbrock@uci.edu">Kai Kessenbrock</a> or <a id="corresp-c3" href="mailto:nnavin@mdanderson.org">Nicholas Navin</a>.</p></div></div></section><section data-title="Ethics declarations"><div class="c-article-section" id="ethics-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="ethics">Ethics declarations</h2><div class="c-article-section__content" id="ethics-content"> <h3 class="c-article__sub-heading" id="FPar2">Competing interests</h3> <p>N. Navin previously served on the scientific advisory board for Resolve Biosciences (2020–2022) but did not receive any compensation. O.B., B.B.C. and N. Nikulina are employees at Akoya Biosciences. B.N. and N.K. are employees of Resolve Biosciences. The other authors declare no competing interests.</p> </div></div></section><section data-title="Peer review"><div class="c-article-section" id="peer-review-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="peer-review">Peer review</h2><div class="c-article-section__content" id="peer-review-content"> <h3 class="c-article__sub-heading" id="FPar1">Peer review information</h3> <p><i>Nature</i> thanks Itai Yanai and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.</p> </div></div></section><section data-title="Additional information"><div class="c-article-section" id="additional-information-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="additional-information">Additional information</h2><div class="c-article-section__content" id="additional-information-content"><p><b>Publisher’s note</b> Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p></div></div></section><section data-title="Extended data figures and tables"><div class="c-article-section" id="Sec40-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="Sec40">Extended data figures and tables</h2><div class="c-article-section__content" id="Sec40-content"><div data-test="supplementary-info"><div id="figshareContainer" class="c-article-figshare-container" data-test="figshare-container"></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig7"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 1 frequency of major breast cel" href="/articles/s41586-023-06252-9/figures/7" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig7_ESM.jpg">Extended Data Fig. 1 Frequency of Major Breast Cell Types Across Women and Sample Types.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, Experimental workflow for breast tissue processing for scRNA-seq, showing different conditions used for digestion times and trypsin treatments. <b>b</b>, Pie chart showing ethnic backgrounds of women who provided tissue samples for the breast atlas. <b>c</b>, Cell type frequencies for different tissue sources (reduction mammoplasties - RM, prophylactic mastectomies - PM and contralateral mastectomies - CM), cells vs nuclei single cell RNA-seq protocols, and experimental dissociation protocol. <b>d</b>, Major cell type frequencies of matched left and right breasts from 22 women (left) and averages across all left and all right breast tissues (right). <b>e</b>, Stacked barplot showing the variation of cell type frequencies across the 126 women in scRNA-seq data. The top annotation bar shows the experimental workflow used (short/medium/long). <b>f</b>, Top regulons identified with SCENIC for each cell type cluster from the snRNA-seq data. <b>g</b>, Top regulons identified with SCENIC for each cell type cluster from the scRNA-seq data. <b>h</b>, Multi-dimensional scaling and Procrustes analysis to determine the concordance of left and right breast cell type frequencies and Pearson correlations for 22 women with matched breast tissue samples. P-value was calculated based on a two-sided test.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig8"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 2 ligand-receptor interaction a" href="/articles/s41586-023-06252-9/figures/8" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig8_ESM.jpg">Extended Data Fig. 2 Ligand-receptor Interaction Analysis Between Cell Types.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p>Ligand-receptor interaction plots predicted from scRNA-seq data using CellPhoneDB between the major breast cell types. <b>a</b>, Interaction plot between the epithelial (Basal, LumHR and LumSec) cell types. <b>b</b>, Interaction plot between the epithelial and immune (B-cells, T-cells, Myeloid cells) cell types. <b>c</b>, Interaction plot between the epithelial and stromal (Fibroblasts, Perivascular and Vascular endothelial cells) cell types. <b>d</b>, Interaction plot within the stromal (Fibroblasts, Myeloid, Lymphatic, Vascular and Perivascular cells) cell types. <b>e</b>, Interaction plot between adipocytes and stromal cell types.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig9"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 3 spatial transcriptomic analys" href="/articles/s41586-023-06252-9/figures/9" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig9_ESM.jpg">Extended Data Fig. 3 Spatial Transcriptomic Analysis of Breast Cell Types.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, Integrated UMAP and unbiased clustering of ST data from 10 breast samples, showing 9 ST clusters. <b>b</b>, Histopathological images, and spatial distribution of ST clusters in the ST data from the breast tissues. <b>c</b>, Concordance of ST clusters and the scRNA-seq clusters of the major cell types using Fisher’s exact test. <b>d</b>, Pearson correlation analysis of marker gene expression levels between the ST clusters and the scRNA-seq data for different cell types. All p-values were calculated based on two-sided tests.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig10"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 4 spatial analysis of breast ce" href="/articles/s41586-023-06252-9/figures/10" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig10_ESM.jpg">Extended Data Fig. 4 Spatial Analysis of Breast Cell Types with CODEX and smFISH.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, Cell segmentation results of smFISH (Resolve) data across 12 tissue samples profiled from 5 different women. Cells were annotated based on combinations of markers for each cell type as described in Supplementary Table <a data-track="click" data-track-label="link" data-track-action="supplementary material anchor" href="/articles/s41586-023-06252-9#MOESM1">6</a>. <b>b</b>, Densities of cell types across three topographic areas using 12 tissues profiled by smFISH (Resolve). <b>c</b>, Heatmap of the top 5 targeted maker genes for each cell type in the smFISH (Resolve) data from 12 combined tissue samples. <b>d</b>, Cell segmentation results of CODEX data from 8 different women. Cells were annotated based on combinations or single protein markers to identify different cell types. <b>e</b>, Densities of cell types across three topographic areas from 8 different women by CODEX. <b>f</b>, Heatmap showing protein levels for markers that were used to identify different cell types in the CODEX data. (D: ducts, L: lobules and C: connective regions).</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig11"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 5 analysis of single cell and s" href="/articles/s41586-023-06252-9/figures/11" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig11_ESM.jpg">Extended Data Fig. 5 Analysis of Single Cell and Spatial Epithelial Data.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, UMAPs of snRNA-seq data showing the expression of hormone receptor genes. <b>b</b>, Epithelial cell state frequencies across the 126 women in scRNA-seq data, where the top annotation bar represents the dissociation protocol. <b>c</b>, UMAP feature plots showing the expression of previously reported stem cell marker genes in the scRNA-seq epithelial dataset. <b>d</b>, Ligand-receptor interactions within the epithelial cell states predicted with CellPhoneDB. <b>e</b>, Cell cycle scoring of S-phase for different epithelial cell states detected in the scRNA-seq data. <b>f</b>, Cell cycle scoring for S-phase in the epithelial cell type clusters detected in the snRNA-seq data. <b>g</b>, smFISH (Resolve) data showing the expression of the <i>MKI67</i> proliferation marker in the epithelial cells of the ducts and lobules from 4 different breast tissues. <b>h</b>, UMAP of different LumSec cell states and <i>ELF5</i>, <i>LTF</i> signature scores, respectively. <b>i</b>, Histopathological image of adjacent H&E section showing the anatomic annotation of ducts and lobules (left) and smFISH MERFISH (right panel) from P101 showing the spatial distribution of different LumSec cell states across different regions. <b>j</b>, Stacked barplot showing the distribution of different LumSec cell proportions in ducts and lobules across 3 MERFISH samples. <b>k</b>, Histopathological image (left panel) and smFISH MERFISH (right panel) from P101 showing the spatial distribution of the LumHR-SCGB population in a specific region of epithelium.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig12"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 6 spatial analysis of epithelia" href="/articles/s41586-023-06252-9/figures/12" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig12_ESM.jpg">Extended Data Fig. 6 Spatial analysis of epithelial cells in ductal and lobular structures.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, Spatial transcriptomic analysis showing clusters labelled as duct or lobule/TDLU from 3 breast tissues (P10, P35 and P47). <b>b</b>, smFISH (Resolve) data (P46-S1 and P46-S4) showing a subset of Keratin markers (left) and hormone receptor genes (right) and their localization to different breast tissue regions annotated as either duct or lobule/TDLU. <b>c</b>, CODEX data from P131 showing KRT5 in ducts and KRT19 in lobules/TDLU regions, with enlarged panels of the right. <b>d</b>, CODEX analysis from P130 of ductal and lobular/TDLU regions, showing differences for KRT14 levels in ducts and lobules. <b>e</b>, CODEX data from P131 showing protein levels of KRT8 and progesterone receptor (PR) in epithelial cells in the ducts and lobular/TDLU regions.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig13"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 7 immune cell subtypes in the b" href="/articles/s41586-023-06252-9/figures/13" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig13_ESM.jpg">Extended Data Fig. 7 Immune cell subtypes in the breast and their variation in women.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, H&E staining of plasma B-cells, T-cells, mast cell and macrophages (arrows) in human breast tissues. <b>b</b>, Stacked barplot showing the cell type frequencies of T, B and myeloid cells across 126 women in scRNA-seq data. Top annotation bar represents different tissue dissociation protocols that were utilized. <b>c</b>-<b>e</b>, Stacked barplots showing the cell state frequencies of T, B and myeloid cells across 126 women in scRNA-seq data respectively. <b>f</b>, Dot plot showing expression of checkpoint/exhaustion markers in NK and T cell states from the scRNA-seq data of 126 women. <b>g</b>, Ligand-receptor interaction analysis predicted with CellPhoneDB between the fibroblasts cell states and macrophage cell states.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig14"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 8 spatial analysis of immune ce" href="/articles/s41586-023-06252-9/figures/14" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig14_ESM.jpg">Extended Data Fig. 8 Spatial analysis of immune cells in human breast tissues.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, CODEX data from patient P130 and P131 showing localization of different immune cells with epithelial marker KRT19 and vascular marker CD31. Yellow and white arrows indicate CD4 Tregs and DCs, respectively. <b>b</b>, Frequency of T cells with the RUNX3 tissue residency marker in CODEX data. <b>c</b>, CODEX data (P130) showing immune cells in ductal, lobular and connective regions. <b>d</b>, Stacked barplots of CODEX data showing the density of immune cell types in each spatial region in 8 women. <b>e</b>, smFISH (Resolve) data (P46-S1) showing RNA localization of T, B and myeloid cells. <b>f</b>, Segmented smFISH (Resolve) data (P46-S1) showing cell localization of T, B and myeloid cells. <b>g</b>, smFISH (Resolve) data (P46-S1 and P47-S1) showing immune cell localization of B, T and myeloid cells across ducts, lobules and connective regions. <b>h</b>, Stacked barplots of smFISH (Resolve) data showing the density and proportion of immune cell types in different spatial regions. <b>i</b>, Adjacent histopathological tissue section (left) and segmented smFISH MERFISH data (right) from patient P91 showing the spatial distribution of m1, m2 macrophages and cDC2 populations in different regions of human breast tissue. <b>j</b>, Stacked barplot showing the density of m1, m2 macrophages and cDC2 populations in different regions across 3 smFISH MERFISH samples. <b>k</b>, Adjacent histopathological tissue section (left) and segmented smFISH MERFISH data (right) from patient P96 showing the spatial distribution of different B-cell states in different regions of human breast tissue. <b>l</b>, Stacked barplot showing the density of different B-cell states in different regions across three smFISH MERFISH samples.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig15"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 9 fibroblast cell states in the" href="/articles/s41586-023-06252-9/figures/15" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig15_ESM.jpg">Extended Data Fig. 9 Fibroblast cell states in the human breast.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, Stacked barplot showing the fibroblasts cell state frequencies across 126 women in scRNA-seq data with top annotation bar representing the tissue dissociation protocol. <b>b</b>, Gene ontology enrichment analysis showing top enriched biological process gene sets associated with each cell state (Pos: positive; Neg: negative; Reg: regulation; RSTK: receptor protein serine/threonine kinase; TGF: transforming growth factor; IGF: insulin-like growth factor). <b>c</b>, CODEX data from P132 showing fibroblasts marked by VIM in the connective tissue (I) and interlobular (II) regions. <b>d</b>, smFISH (Resolve) data showing fibroblast markers in areas of connective tissue regions (I) and epithelial regions (II) from two women (P47-S1 and P69-S3). <b>e</b>, smFISH (Resolve) data (P35-S1) indicating spatial proximity regions with epithelial-proximal (Epi-prox), epithelial-middle (Epi-mid) and epithelial-distant (Epi-Dist) regions for 4 marker genes. <b>f</b>, Percentages of 4 markers that are proximal, middle or distant to the epithelial cells, quantified from the smFISH (Resolve) data. <b>g</b>, RNAscope <i>in situ</i> hybridization of breast tissues using an <i>MMP3</i> probe in combination with anti-Vimentin and anti-PanCK immunofluorescent staining, with enlarged panel (right). <b>h</b>, Ligand-receptor interactions between fibroblasts, adipocytes and myeloid cell states predicted using CellPhoneDB.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig16"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 10 endothelial cell diversity i" href="/articles/s41586-023-06252-9/figures/16" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig16_ESM.jpg">Extended Data Fig. 10 Endothelial cell diversity in the Human Breast.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, Stacked barplot showing the endothelial cell state frequencies across the 126 women in scRNA-seq data, with top annotation bar showing the tissue dissociation protocol. <b>b</b>, Dot plot of gene ontology enrichment results for 4 lymphatic cell states. <b>c</b>, Heatmap showing top gene expression for vascular and lymphatic endothelial clusters detected in the ST data. <b>d</b>, smFISH (Resolve) data showing veins (<i>ACKR1</i>) and capillaries (<i>RBP7</i>), as well as a canonical vascular marker (<i>VWF</i>) in two different HBCA samples (P46-S3 and P69-S3). <b>e</b>, Adjacent H&E tissue section with pathological annotations (left panel) and segmented smFISH MERFISH data (right panel) from P101 showing the spatial distribution of vascular endothelial cell states in different regions of human breast tissue. <b>f</b>, Stacked barplot showing the density of vascular endothelial states in different regions across 3 smFISH MERFISH samples.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig17"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 11 perivascular cells in human " href="/articles/s41586-023-06252-9/figures/17" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig17_ESM.jpg">Extended Data Fig. 11 Perivascular cells in Human Breast Tissues.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, Stacked barplot showing the perivascular cell state frequencies across the 126 women in scRNA-seq data with top annotation bars indicating the tissue dissociation protocol. <b>b</b>, UMAPs of pericytes and vascular smooth muscle cells (VSMCs) and feature plots of the VSMCs marker genes (<i>SYNM</i> and <i>ACTG2</i>). <b>c-e</b>, smFISH (Resolve) data showing expression of pericyte marker <i>RGS5</i>, together with vascular marker <i>VWF</i> and fibroblast marker <i>COL1A1</i> in lobular and ductal regions from 2 different breast tissue samples (P47-S1 and P46-S3). <b>f</b>, CODEX results from P131 showing vascular cells (anti-CD31) and pericytes (anti-LIF) in a TDLU region. <b>g</b>, smFISH MERFISH from P96 showing the spatial distribution of vascular endothelial cell states (left panel) and perivascular cell states (right panel) in different regions of human breast tissue. <b>h</b>, smFISH (MERFISH) data showing arteries (SOX17) and VSMCs (ATCG2 and SYNM) in breast tissue.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig18"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 12 metadata correlations with b" href="/articles/s41586-023-06252-9/figures/18" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig18_ESM.jpg">Extended Data Fig. 12 Metadata correlations with breast cell types and states.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p><b>a</b>, Boxplots showing the major cell type frequencies across ethnicity status in the n = 69 women using Wilcoxon rank sum test (top). Significant associations of cell states with ethnicity status using Fisher’s exact test (bottom). <b>b</b>, Boxplots showing the major cell type frequencies across pre- and post-menopause status in the n = 71 women using Wilcoxon rank sum test (top). Significant associations of cell states with menopause status using Fisher’s exact test (bottom). <b>c</b>, Boxplots showing the major cell type frequencies across different age groups using Wilcoxon rank sum test, young (<50 years) and old (>50 years) for n = 76 women (top). Significant associations of cell states with age groups using Fisher’s exact test (bottom). <b>d</b>, Boxplots showing the major cell type frequencies across different breast density (high, low) groups in the n = 16 women using Wilcoxon rank sum test (top). Significant associations of cell states with breast density using Fisher’s exact test (bottom). <b>e</b>, Boxplots showing the major cell type frequencies across different BMI status in 73 women using Wilcoxon rank sum test, overweight (BMI >= 25 and < 30) and obese (BMI >= 30). <b>f</b>, Boxplots showing the major cell type frequencies across different parity status (nulliparous, parous) status in the n=64 women using Wilcoxon rank sum test. All p-values were calculated based on two-sided tests. Boxplots show the median with interquartile ranges (25–75%), while whiskers extend to 1.5× the interquartile range from the box.</p></div></div><div class="c-article-supplementary__item js-c-reading-companion-figures-item" data-test="supp-item" id="Fig19"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="extended data fig. 13 summary of the major cell ty" href="/articles/s41586-023-06252-9/figures/19" data-supp-info-image="//media.springernature.com/lw685/springer-static/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_Fig19_ESM.jpg">Extended Data Fig. 13 Summary of the Major Cell Types and States in Breast Tissues.</a></h3><div class="c-article-supplementary__description" data-component="thumbnail-container"><p>This illustration summarizes all of the breast cell types and cell states that were identified in the HBCA study. <b>a</b>, Summary of cell lineages from cell types to cell states. <b>b</b>, Mapping of cell types and cell states to the four major spatial regions (Adipose, Connective, Ductal, Lobular) that were supported by the spatial technologies. Not all cell states were assigned to specific spatial regions, in cases where the data did not support their assignment. Individual figures were created with BioRender.com.</p></div></div></div></div></div></section><section data-title="Supplementary information"><div class="c-article-section" id="Sec41-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="Sec41">Supplementary information</h2><div class="c-article-section__content" id="Sec41-content"><div data-test="supplementary-info"><div class="c-article-supplementary__item" data-test="supp-item" id="MOESM1"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="supplementary information" href="https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_MOESM1_ESM.pdf" data-supp-info-image="">Supplementary Information</a></h3></div><div class="c-article-supplementary__item" data-test="supp-item" id="MOESM2"><h3 class="c-article-supplementary__title u-h3"><a class="print-link" data-track="click" data-track-action="view supplementary info" data-test="supp-info-link" data-track-label="reporting summary" href="https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-023-06252-9/MediaObjects/41586_2023_6252_MOESM2_ESM.pdf" data-supp-info-image="">Reporting Summary</a></h3></div></div></div></div></section><section data-title="Rights and permissions"><div class="c-article-section" id="rightslink-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="rightslink">Rights and permissions</h2><div class="c-article-section__content" id="rightslink-content"><p>Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</p><p class="c-article-rights"><a data-track="click" data-track-action="view rights and permissions" data-track-label="link" href="https://s100.copyright.com/AppDispatchServlet?title=A%20spatially%20resolved%20single-cell%20genomic%20atlas%20of%20the%20adult%20human%20breast&author=Tapsi%20Kumar%20et%20al&contentID=10.1038%2Fs41586-023-06252-9&copyright=The%20Author%28s%29%2C%20under%20exclusive%20licence%20to%20Springer%20Nature%20Limited&publication=0028-0836&publicationDate=2023-06-28&publisherName=SpringerNature&orderBeanReset=true">Reprints and permissions</a></p></div></div></section><section aria-labelledby="article-info" data-title="About this article"><div class="c-article-section" id="article-info-section"><h2 class="c-article-section__title js-section-title js-c-reading-companion-sections-item" id="article-info">About this article</h2><div class="c-article-section__content" id="article-info-content"><div class="c-bibliographic-information"><div class="u-hide-print c-bibliographic-information__column c-bibliographic-information__column--border"><a data-crossmark="10.1038/s41586-023-06252-9" target="_blank" rel="noopener" href="https://crossmark.crossref.org/dialog/?doi=10.1038/s41586-023-06252-9" data-track="click" data-track-action="Click Crossmark" data-track-label="link" data-test="crossmark"><img loading="lazy" width="57" height="81" alt="Check for updates. 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A spatially resolved single-cell genomic atlas of the adult human breast | Nature