Evidence map›Paper›PMID 39499736›Full record

ArticlePLoS biology2024

Transcriptomic analysis of the 12 major human breast cell types reveals mechanisms of cell and tissue function.

Katelyn Del Toro, Rosalyn Sayaman, Kate Thi, Yamhilette Licon-Munoz, William Curtis Hines

Abstract read
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Katelyn Del ToroDepartment of Biochemistry and Molecular Biology, University of New Mexico School of Medicine, University of New Mexico, Albuquerque, New Mexico, United States of America.
Rosalyn SayamanLife Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Kate ThiLife Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Yamhilette Licon-MunozDepartment of Biochemistry and Molecular Biology, University of New Mexico School of Medicine, University of New Mexico, Albuquerque, New Mexico, United States of America.
William Curtis HinesDepartment of Biochemistry and Molecular Biology, University of New Mexico School of Medicine, University of New Mexico, Albuquerque, New Mexico, United States of America.ORCID 0000-0002-0707-3160

Funding

NM-INBRE Sequencing and Bioinformatics CoreP20GM103451 · NIGMS · NEW MEXICO STATE UNIVERSITY LAS CRUCES · PI Charlotte C. Gard · 2012 to 2026
$61.2M
WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
Cancer Metabolism Training ProgramT32CA221709 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI David K. Ann, Victoria L. Seewaldt · 2018 to 2026
$1.8M
Stem Cell Engineering Training ProgramT32GM098218 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HEALY, KEVIN EDWARD, SCHAFFER, DAVID V · 2011 to 2020
$1.8M
A systems biology approach to elucidate the biology of immune-associated outcomes in breast cancerK01CA279498 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Rosalyn Wong Sayaman · 2023 to 2026
$696k
NCI NIH HHS K01 CA279498NCI NIH HHS P30 CA118100NCI NIH HHS T32 CA221709NIGMS NIH HHS P20 GM103451NIGMS NIH HHS T32 GM098218
6 · The paper itself

Abstract

A fundamental question in biology, central to our understanding of cancer and other pathologies, is determining how different cell types coordinate to form and maintain tissues. Recognizing the distinct features and capabilities of the cells that compose these tissues is critical. Unfortunately, the complexity of tissues often hinders our ability to distinguish between neighboring cell types and, in turn, scrutinize their transcriptomes and generate reliable and tractable cell models for studying their inherently different biologies. We have recently introduced a novel method that permits the identification and purification of the 12 cell types that compose the human breast-nearly all of which could be reliably propagated in the laboratory. Here, we explore the nature of these cell types. We sequence mRNAs from each purified population and investigate transcriptional patterns that reveal their distinguishing features. We describe the differentially expressed genes and enriched biological pathways that capture the essence of each cell type, and we highlight transcripts that display intriguing expression patterns. These data, analytic tools, and transcriptional analyses form a rich resource whose exploration provides remarkable insights into the inner workings of the cell types composing the breast, thus furthering our understanding of the rules governing normal cell and tissue function.

Indexed as

BreastGene Expression ProfilingTranscriptomeBreast NeoplasmsFemaleHumansRNA, MessengerRNA, Messenger

Identifiers

PMID39499736
PMCPMC11537416

What OpenQuestion holds

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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.