Evidence map›Paper›PMID 38062919›Full record

ArticleAging cell2024

Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging.

Jana M Braunger, Louis V Cammarata, Trinadha Rao Sornapudi, Caroline Uhler, G V Shivashankar

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Chromatin accessibility regulates age-dependent nuclear mechanotransduction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Interplay Between 3D Chromatin Architecture and Gene Regulation at theInternational journal of molecular sciences · 2025
    Article
  5. 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 at 2 institutions in 2 countries.

Jana M BraungerEric and Wendy Schmidt Center, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0003-0820-9987
Louis V CammarataEric and Wendy Schmidt Center, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Trinadha Rao SornapudiDivision of Biology and Chemistry, Paul Scherrer Institute, Villigen, Switzerland.
Caroline UhlerEric and Wendy Schmidt Center, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.ORCID 0000-0002-7008-0216
G V ShivashankarDivision of Biology and Chemistry, Paul Scherrer Institute, Villigen, Switzerland.
Broad Institute · USPaul Scherrer Institute · CH

Funding

Causal Representation Learning for the Spatial Analysis of Transcriptomic and Imaging Data in Tissue ContextsDP2AT012345 · NCCIH · BROAD INSTITUTE, INC. · PI UHLER, CAROLINE · 2022 to 2025
$2.3M
NCCIH NIH HHS 1DP2AT012345NCCIH NIH HHS DP2 AT012345
6 · The paper itself

Abstract

Human life expectancy is constantly increasing and aging has become a major risk factor for many diseases, although the underlying gene regulatory mechanisms are still unclear. Using transcriptomic and chromosomal conformation capture (Hi-C) data from human skin fibroblasts from individuals across different age groups, we identified a tight coupling between the changes in co-regulation and co-localization of genes. We obtained transcription factors, cofactors, and chromatin regulators that could drive the cellular aging process by developing a time-course prize-collecting Steiner tree algorithm. In particular, by combining RNA-Seq data from different age groups and protein-protein interaction data we determined the key transcription regulators and gene regulatory changes at different life stage transitions. We then mapped these transcription regulators to the 3D reorganization of chromatin in young and old skin fibroblasts. Collectively, we identified key transcription regulators whose target genes are spatially rearranged and correlate with changes in their expression, thereby providing potential targets for reverting cellular aging.

Indexed as

ChromatinTranscription FactorsCellular SenescenceGene Expression ProfilingGene Expression RegulationHumansChromatinTranscription Factors3D genome organizationcellular aginggene expressionnetwork analysistranscription factors

Identifiers

PMID38062919
PMCPMC10928569
OpenAlexW4389483151

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.