Evidence map›Paper›PMID 37333123›Full record

ArticlebioRxiv : the preprint server for biology2023

The chromatin landscape of healthy and injured cell types in the human kidney.

Debora L Gisch, Michelle Brennan, Blue B Lake, Jeannine Basta, Mark Keller, Ricardo Melo Ferreira, Shreeram Akilesh, Reetika Ghag, Charles Lu, Ying-Hua Cheng and 34 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

44 authors at 10 institutions in 1 country.

Debora L Gisch
Michelle Brennan
Blue B Lake
Jeannine Basta
Mark Keller
Ricardo Melo Ferreira
Shreeram Akilesh
Reetika Ghag
Charles Lu
Ying-Hua Cheng
Kimberly S Collins
Samir V Parikh
Brad H Rovin
Lynn Robbins
Kimberly Y Conklin
Dinh Diep
Bo Zhang
Amanda Knoten
Daria Barwinska
Mahla Asghari
Angela R Sabo
Michael J Ferkowicz
Timothy A Sutton
Katherine J Kelly
Ian H De Boer
Sylvia E Rosas
Krzysztof Kiryluk
Jeffrey B Hodgin
Fadhl Alakwaa
Nichole Jefferson
Joseph P Gaut
Carrie L Phillips
Tarek M El-Achkar
Pierre C Dagher
Takashi Hato
Kun Zhang
Jonathan Himmelfarb
Matthias Kretzler
Kidney Precision Medicine Project (KPMP)
Michael Rauchman
Michael T Eadon
Indiana University School of MedicineWashington University in St. Louis · USFleet Science Center · USUniversity of Michigan · USUniversity of Washington · USBroad Institute · USThe Ohio State University Wexner Medical Center · USBoston University · USColumbia University · USSaint Louis University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a need to define regions of gene activation or repression that control human kidney cells in states of health, injury, and repair to understand the molecular pathogenesis of kidney disease and design therapeutic strategies. However, comprehensive integration of gene expression with epigenetic features that define regulatory elements remains a significant challenge. We measured dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and H3K27ac, H3K4me1, H3K4me3, and H3K27me3 histone modifications to decipher the chromatin landscape and gene regulation of the kidney in reference and adaptive injury states. We established a comprehensive and spatially-anchored epigenomic atlas to define the kidney's active, silent, and regulatory accessible chromatin regions across the genome. Using this atlas, we noted distinct control of adaptive injury in different epithelial cell types. A proximal tubule cell transcription factor network of

Identifiers

PMID37333123
PMCPMC10274789
OpenAlexW4380149818

What OpenQuestion holds

Textmetadata
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.