Evidence map›Paper›PMID 35863345›Full record

ArticleCell systems2022

Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution.

Lyndsay M Murrow, Robert J Weber, Joseph A Caruso, Christopher S McGinnis, Kiet Phong, Philippe Gascard, Gabrielle Rabadam, Alexander D Borowsky, Tejal A Desai, Matthew Thomson and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Cell systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Lyndsay M MurrowDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: lmurrow@gmail.com.
Robert J WeberDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA; Medical Scientist Training Program (MSTP), University of California, San Francisco, San Francisco, CA 94518, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Joseph A CarusoDepartment of Pathology and Helen Diller Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA.
Christopher S McGinnisDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA.
Kiet PhongDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Philippe GascardDepartment of Pathology and Helen Diller Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA.
Gabrielle RabadamDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Alexander D BorowskyCenter for Immunology and Infectious Diseases, Department of Pathology and Laboratory Medicine, University of California, Davis, Davis, CA 95696, USA.
Tejal A DesaiDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Matthew ThomsonComputational Biology, Caltech, Pasadena, CA 91125, USA.
Thea TlstyDepartment of Pathology and Helen Diller Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA.
Zev J GartnerDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA. Electronic address: zev.gartner@ucsf.edu.
University of California, San Francisco · USUCSF Helen Diller Family Comprehensive Cancer Center · USCalifornia Institute of Technology · USUniversity of California, Davis · US

Funding

Integrative Program in Complex Biological System (ipCBS)T32EB009383 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARSHALL, WALLACE, WEINER, ORION D · 2009 to 2022
$3.2M
Integrative approach to heterogeneity in breast cancer metastasisU01CA199315 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GOGA, ANDREI, SPELLMAN, PAUL T. · 2016 to 2020
$3.2M
Understanding breast cancer progression as a defect in the mechanics of tissue self-organizationU01CA244109 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARTNER, ZEV JORDAN, GOGA, ANDREI · 2020 to 2024
$3.0M
Total synthesis of the human mammary glandDP2HD080351 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARTNER, ZEV JORDAN · 2013 to 2013
$2.4M
NCI NIH HHS U01 CA199315NCI NIH HHS U01 CA244109NIBIB NIH HHS T32 EB009383NICHD NIH HHS DP2 HD080351
6 · The paper itself

Abstract

The rise and fall of estrogen and progesterone across menstrual cycles and during pregnancy regulates breast development and modifies cancer risk. How these hormones impact each cell type in the breast remains poorly understood because they act indirectly through paracrine networks. Using single-cell analysis of premenopausal breast tissue, we reveal a network of coordinated transcriptional programs representing the tissue-level response to changing hormone levels. Our computational approach, DECIPHER-seq, leverages person-to-person variability in breast composition and cell state to uncover programs that co-vary across individuals. We use differences in cell-type proportions to infer a subset of programs that arise from direct cell-cell interactions regulated by hormones. Further, we demonstrate that prior pregnancy and obesity modify hormone responsiveness through distinct mechanisms: obesity reduces the proportion of hormone-responsive cells, whereas pregnancy dampens the direct response of these cells to hormones. Together, these results provide a comprehensive map of the cycling human breast.

Indexed as

BreastProgesteroneCell CommunicationEstrogensFemaleHumansObesityPregnancyEstrogensProgesteronecell-cell interactionshormone signalinghuman breastsample heterogeneityscRNA-seqsingle-cell genomics

Identifiers

PMID35863345
PMCPMC9590200
OpenAlexW4286254594

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.