Evidence map›Paper›PMID 39753552›Full record

ArticleNature communications2025

A cell atlas of the human fallopian tube throughout the menstrual cycle and menopause.

Melanie Weigert, Yan Li, Lisha Zhu, Heather Eckart, Preety Bajwa, Rahul Krishnan, Sarah Ackroyd, Ricardo Lastra, Agnes Bilecz, Anindita Basu and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Melanie Weigert *Department of Obstetrics and Gynecology, Section of Gynecologic Oncology, The University of Chicago, Chicago, IL, USA.ORCID 0000-0002-8732-1186
Yan Li *Center for Research Informatics, The University of Chicago, Chicago, IL, USA.
Lisha ZhuCenter for Research Informatics, The University of Chicago, Chicago, IL, USA.
Heather EckartDepartment of Medicine, Section of Genetic Medicine, The University of Chicago, Chicago, IL, USA.ORCID 0000-0002-9332-3073
Preety BajwaDepartment of Obstetrics and Gynecology, Section of Gynecologic Oncology, The University of Chicago, Chicago, IL, USA.
Rahul KrishnanDepartment of Obstetrics and Gynecology, Section of Gynecologic Oncology, The University of Chicago, Chicago, IL, USA.
Sarah AckroydDepartment of Obstetrics and Gynecology, Section of Gynecologic Oncology, The University of Chicago, Chicago, IL, USA.
Ricardo LastraDepartment of Pathology, The University of Chicago, Chicago, IL, USA.
Agnes BileczDepartment of Obstetrics and Gynecology, Section of Gynecologic Oncology, The University of Chicago, Chicago, IL, USA.
Anindita BasuDepartment of Medicine, Section of Genetic Medicine, The University of Chicago, Chicago, IL, USA. onibasu@uchicago.edu.ORCID 0000-0001-9468-3727
Ernst LengyelDepartment of Obstetrics and Gynecology, Section of Gynecologic Oncology, The University of Chicago, Chicago, IL, USA. elengyel@uchicago.edu.ORCID 0000-0001-8624-1507
Mengjie ChenCenter for Research Informatics, The University of Chicago, Chicago, IL, USA. mengjiechen@uchicago.edu.ORCID 0000-0003-1579-087X

Funding

Metabolic reprogramming of the tumor microenvironment and therapy resistanceR35CA264619 · NCI · UNIVERSITY OF CHICAGO · PI Ernst Lengyel · 2021 to 2026
$5.2M
New directions in single cell genomics method developmentR01GM126553 · NIGMS · UNIVERSITY OF CHICAGO · PI Mengjie Chen · 2017 to 2026
$2.9M
Profiling Transcriptional Heterogeneity in Microbial Cells at Single Cell resolution and High-throughput using Droplet MicrofluidicsDP2AI158157 · NIAID · UNIVERSITY OF CHICAGO · PI BASU, ANINDITA · 2020 to 2020
$2.4M
Nicotinamide N-Methyltransferase (NNMT) as a master regulator of cancer stromaR01CA211916 · NCI · UNIVERSITY OF CHICAGO · PI LENGYEL, ERNST · 2017 to 2021
$1.9M
Developing new computational tools for spatial transcriptomics dataR01HG011883 · NHGRI · UNIVERSITY OF CHICAGO · PI CHEN, MENGJIE, ZHOU, XIANG · 2021 to 2024
$1.5M
Functional contributions of glycogen metabolism to ovarian cancer metastasisR01CA237029 · NCI · UNIVERSITY OF CHICAGO · PI LENGYEL, ERNST · 2020 to 2021
$881k
NCI NIH HHS R01 CA211916NCI NIH HHS R01 CA237029NCI NIH HHS R35 CA264619NHGRI NIH HHS R01 HG011883NIAID NIH HHS DP2 AI158157NIGMS NIH HHS R01 GM126553
6 · The paper itself

Abstract

The fallopian tube undergoes extensive molecular changes during the menstrual cycle and menopause. We use single-cell RNA and ATAC sequencing to construct a comprehensive cell atlas of healthy human fallopian tubes during the menstrual cycle and menopause. Our scRNA-seq comparison of 85,107 pre- and 46,111 post-menopausal fallopian tube cells reveals substantial shifts in cell type frequencies, gene expression, transcription factor activity, and cell-to-cell communications during menopause and menstrual cycle. Menstrual cycle dependent hormonal changes regulate distinct molecular states in fallopian tube secretory epithelial cells. Postmenopausal fallopian tubes show high chromatin accessibility in transcription factors associated with aging such as Jun, Fos, and BACH1/2, while hormone receptors were generally downregulated, a small proportion of secretory epithelial cells had high expression of ESR2, IGF1R, and LEPR. While a pre-menopausal secretory epithelial gene cluster is enriched in the immunoreactive molecular subtype, a subset of genes expressed in post-menopausal secretory epithelial cells show enrichment in the mesenchymal molecular type of high-grade serous ovarian cancer.

Indexed as

Epithelial CellsFallopian TubesMenopauseMenstrual CycleAdultFemaleGene Expression ProfilingHumansMiddle AgedSingle-Cell AnalysisTranscription FactorsTranscriptomeTranscription Factors

Identifiers

PMID39753552
PMCPMC11698969

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.