Evidence map›Paper›PMID 35069565›Full record

ArticleFrontiers in immunology2021

Whole-Tissue Deconvolution and scRNAseq Analysis Identify Altered Endometrial Cellular Compositions and Functionality Associated With Endometriosis.

Daniel G Bunis, Wanxin Wang, Júlia Vallvé-Juanico, Sahar Houshdaran, Sushmita Sen, Isam Ben Soltane, Idit Kosti, Kim Chi Vo, Juan C Irwin, Linda C Giudice and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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  18. New concepts on the etiology of endometriosis.The journal of obstetrics and gynaecology research · 2023
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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

11 authors at 2 institutions in 1 country.

Daniel G BunisBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.
Wanxin WangCenter for Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States.
Júlia Vallvé-JuanicoCenter for Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States.
Sahar HoushdaranCenter for Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States.
Sushmita SenCenter for Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States.
Isam Ben SoltaneBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.
Idit KostiBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.
Kim Chi VoCenter for Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States.
Juan C IrwinCenter for Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States.
Linda C GiudiceCenter for Reproductive Sciences, University of California, San Francisco, San Francisco, CA, United States.
Marina SirotaBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.
University of California, San Francisco · USReproductive Science Center · US

Funding

Project 4: Human Endometrial Programming for Successful ImplantationP50HD055764 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIUDICE, LINDA C · 2014 to 2022
$16.4M
MOLECULAR AND CELLULAR IMMUNOLOGYT32AI007334 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CYSTER, JASON G · 1988 to 2023
$11.0M
NIAID NIH HHS T32 AI007334NICHD NIH HHS P50 HD055764
6 · The paper itself

Abstract

The uterine lining (endometrium) exhibits a pro-inflammatory phenotype in women with endometriosis, resulting in pain, infertility, and poor pregnancy outcomes. The full complement of cell types contributing to this phenotype has yet to be identified, as most studies have focused on bulk tissue or select cell populations. Herein, through integrating whole-tissue deconvolution and single-cell RNAseq, we comprehensively characterized immune and nonimmune cell types in the endometrium of women with or without disease and their dynamic changes across the menstrual cycle. We designed metrics to evaluate specificity of deconvolution signatures that resulted in single-cell identification of 13 novel signatures for immune cell subtypes in healthy endometrium. Guided by statistical metrics, we identified contributions of endometrial epithelial, endothelial, plasmacytoid dendritic cells, classical dendritic cells, monocytes, macrophages, and granulocytes to the endometrial pro-inflammatory phenotype, underscoring roles for nonimmune as well as immune cells to the dysfunctionality of this tissue.

Indexed as

EndometriosisEndometriumRNA-SeqSingle-Cell AnalysisFemaleHumansbulk tissue transcriptomicsdeconvolutionendometriosiseutopic endometriumsingle-cell analysis

Identifiers

PMID35069565
PMCPMC8766492
OpenAlexW4225725145

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.