Evidence map›Paper›PMID 35802489›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2022

Cross-Organ Transcriptomic Comparison Reveals Universal Factors During Maturation.

Sandeep Kambhampati, Sean Murphy, Hideki Uosaki, Chulan Kwon

Open access · greenAbstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2022. 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
0.3field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. The Maternal Blood Transcriptome Reflects Changes in Fetal Growth and Is an Accurate Predictor of Birth Weight in Cattle.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    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

4 authors at 1 institution in 2 countries.

Sandeep KambhampatiDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sean MurphyDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Hideki UosakiDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Chulan KwonDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-4924-2778
Johns Hopkins University · US

Funding

PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chulan Kwon, WENDY S POST · 1985 to 2026
$21.2M
Transcriptomic Entropy to Quantify Maturation of PSC-Derived CardiomyocytesR01HL156947 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KIM, DEOK-HO, KWON, CHULAN · 2021 to 2024
$2.3M
American Heart Association-American Stroke Association 18EIA33890038NHLBI NIH HHS R01 HL156947NHLBI NIH HHS T32 HL007227
6 · The paper itself

Abstract

Various cell types can be derived from stem cells. However, these cells are immature and do not match their adult counterparts in functional capabilities, limiting their use in disease modeling and cell therapies. Thus, it is crucial to understand the mechanisms of maturation in vivo. However, it is unknown if there are genes and pathways conserved across organs during maturation. To address this, we performed a time-series analysis of the transcriptome of the mouse heart, brain, liver, and kidney and analyzed their trajectories over time. In addition, gene regulatory networks were reconstructed to determine overlapping expression patterns. Based on these, we identified commonly upregulated and downregulated pathways across all four organs. Key upstream regulators were also predicted based on the temporal expression of downstream genes. These findings suggest the presence of universal regulators during organ maturation, which may help us develop a general strategy to mature stem cell-derived cells in vitro.

Indexed as

Biological PhenomenaTranscriptomeAnimalsGene Expression ProfilingGene Regulatory NetworksMicebioinformaticsmaturationmicroarrayorganogenesistranscriptome

Identifiers

PMID35802489
PMCPMC9499449
OpenAlexW4284968028

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.