Evidence map›Paper›PMID 39037770›Full record

ArticleeLife2024

Multi-omic analysis of bat versus human fibroblasts reveals altered central metabolism.

N Suhas Jagannathan, Javier Yu Peng Koh, Younghwan Lee, Radoslaw Mikolaj Sobota, Aaron T Irving, Lin-Fa Wang, Yoko Itahana, Koji Itahana, Lisa Tucker-Kellogg

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Chiropteran (Animals : an open access journal from MDPI · 2026
    Article
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  3. Article
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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

9 authors.

N Suhas Jagannathan *Cancer and Stem Cell Biology Programme, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0002-1857-8789
Javier Yu Peng Koh *Cancer and Stem Cell Biology Programme, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0003-4013-9982
Younghwan LeeCancer and Stem Cell Biology Programme, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0002-0595-1513
Radoslaw Mikolaj SobotaFunctional Proteomics Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research, Singapore, Singapore.
Aaron T IrvingProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0002-0196-1570
Lin-Fa WangSingHealth Duke-NUS Global Health Institute, Singapore, Singapore.ORCID https://orcid.org/0000-0003-2752-0535
Yoko ItahanaCancer and Stem Cell Biology Programme, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0003-3560-4560
Koji ItahanaCancer and Stem Cell Biology Programme, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0002-7241-2894
Lisa Tucker-KelloggCancer and Stem Cell Biology Programme, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0002-1301-7069

Funding

Duke-NUS Medical School Block GrantsMinistry of Education - Singapore MOE2019-T2-1-138Ministry of Education - Singapore MOE-T2EP30120-0012National Medical Research Council NMRC/OFIRG/MOH-000639
6 · The paper itself

Abstract

Bats have unique characteristics compared to other mammals, including increased longevity and higher resistance to cancer and infectious disease. While previous studies have analyzed the metabolic requirements for flight, it is still unclear how bat metabolism supports these unique features, and no study has integrated metabolomics, transcriptomics, and proteomics to characterize bat metabolism. In this work, we performed a multi-omics data analysis using a computational model of metabolic fluxes to identify fundamental differences in central metabolism between primary lung fibroblast cell lines from the black flying fox fruit bat (

Indexed as

ChiropteraFibroblastsAnimalsCell LineHumansMetabolomicsMultiomicsOxygen ConsumptionProteomicsReactive Oxygen SpeciesReactive Oxygen Speciesbat metabolismcell biologycomputational biologyferroptosisflux modelingischemiasuccinate accumulationsystems biology

Identifiers

PMID39037770
PMCPMC11262796

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.