Evidence map›Paper›PMID 40325195›Full record

ArticleNature aging2025

Quasi-spatial single-cell transcriptome based on physical tissue properties defines early aging associated niche in liver.

Kwon Yong Tak, Juyeon Kim, Myungsun Park, Wooseok Kim, Seoyeong Lee, Narae Park, Min Jeong Kim, Ju-Bin Kang, Yongjun Koh, Hae Young Yang and 8 more

Abstract read
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In one paragraph

Article in Nature aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

18 authors.

Kwon Yong Tak *Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0003-1512-0948
Juyeon Kim *Aging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.
Myungsun Park *Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Wooseok KimGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Seoyeong LeeGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Narae ParkChemical and Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0005-5513-2566
Min Jeong KimGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0002-1751-3537
Ju-Bin KangAging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.
Yongjun KohGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Hae Young YangGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0001-6232-3815
Min Kyu YumGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Injune KimGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Yong Ryoul YangAging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.
Won-Il JeongGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0002-4240-4631
Jinsung YangDepartment of Biochemistry and Convergence Medical Science, Institute of Medical Science, College of Medicine, Gyeongsang National University, Jinju, Republic of Korea.
Cheolju LeeChemical and Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-8482-4696
Chuna KimAging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea. kimchuna@kribb.re.kr.ORCID http://orcid.org/0000-0003-2337-1106
Jong-Eun ParkGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea. jp24@kaist.ac.kr.ORCID http://orcid.org/0000-0002-1687-2423

Funding

Korea Health Industry Development Institute (KHIDI) HR21C019803Korea Health Industry Development Institute (KHIDI) MD-PhD/Medical Scientist Training ProgramKorea Institute of Science and Technology (KIST) Research Initiative ProgramKorea Research Institute of Bioscience and Biotechnology (KRIBB) Research Initiative ProgramNational Research Council of Science and Technology (National Research Council of Science & Technology) CRC22013-300National Research Foundation of Korea (NRF) NRF002795701G0001044National Research Foundation of Korea (NRF) NRF-2021R1C1C1010094National Research Foundation of Korea (NRF) NRF-2022R1A2C1092943National Research Foundation of Korea (NRF) RS-2023-00219399National Research Foundation of Korea (NRF) RS-2024-00440883
6 · The paper itself

Abstract

Aging is associated with the accumulation of senescent cells, which are triggered by tissue injury response and often escape clearance by the immune system. The specific traits and diversity of these cells in aged tissues, along with their effects on the tissue microenvironment, remain largely unexplored. Despite the advances in single-cell and spatial omics technologies to understand complex tissue architecture, senescent cell populations are often neglected in general analysis pipelines due to their scarcity and the technical bias in current omics toolkits. Here we used the physical properties of tissue to enrich the age-associated fibrotic niche and subjected them to single-cell RNA sequencing and single-nuclei ATAC sequencing (ATAC-seq) analysis and named this method fibrotic niche enrichment sequencing (FiNi-seq). Fibrotic niche of the tissue was selectively enriched based on its resistance to enzymatic digestion, enabling quasi-spatial analysis. We profiled young and old livers of male mice using FiNi-seq, discovered Wif1- and Smoc1-producing mesenchymal cell populations showing senescent phenotypes, and investigated the early immune responses within this fibrotic niche. Finally, FiNi-ATAC-seq revealed age-associated epigenetic changes enriched in fibrotic niche cells. Thus, our quasi-spatial, single-cell profiling method allows the detailed analysis of initial aging microenvironments, providing potential therapeutic targets for aging prevention.

Indexed as

AgingCellular SenescenceLiverSingle-Cell AnalysisTranscriptomeAnimalsEpigenesis, GeneticMaleMiceMice, Inbred C57BLSequence Analysis, RNA

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Registered trials

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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.