Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Deconstructing heterogeneity of replicative senescence in human mesenchymal stem cells at single cell resolution

14 Jun 2023

Abstract excerpt

Following prolonged cell division, mesenchymal stem cells enter replicative senescence, a state of permanent cell cycle arrest that constrains the use of this cell type in regenerative medicine applications and that in vivo substantially contributes to organismal ageing. Multiple cellular processes such as telomere dysfunction, DNA damage and oncogene activation are implicated in promoting replicative senescence,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Mesenchymal stem cell research
Share to Pluripotent Stem Cells Research
Share to Telomeres, Telomerase, and Senescence

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37314668
DOI: 10.1007/s11357-023-00829-y

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Deconstructing heterogeneity of replicative senescence in human mesenchymal stem cells at single cell resolutionPMID 37314668Read ↗

Deconstructing replicative senescence heterogeneity of human mesenchymal stem cells at single cell resolution reveals therapeutically targetable senescent cell sub-populationsSemantic proximity Read ↗

Single-cell transcriptomic analysis uncovers diverse and dynamic senescent cell populations.Semantic proximity Read ↗

Unveiling the cell-type-specific landscape of cellular senescence through single-cell transcriptomics using SenePySemantic proximity Read ↗

A New Gene Set Identifies Senescent Cells and Predicts Senescence-Associated Pathways Across TissuesSemantic proximity Read ↗

SenCat: Cataloging human cell senescence through multiomic profiling of multiple senescent primary cell typesSemantic proximity Read ↗

Senescence in Mesenchymal Stem Cells: Functional Alterations, Molecular Mechanisms, and Rejuvenation StrategiesSemantic proximity Read ↗

A New Gene Set Identifies Senescent Cells and Predicts Senescence-Associated Pathways Across TissuesSemantic proximity Read ↗

A new gene set identifies senescent cells and predicts senescence-associated pathways across tissuesSemantic proximity Read ↗

Impact of Senescent Cell Subtypes on Tissue Dysfunction and Repair: Importance and Research QuestionsSemantic proximity Read ↗

<i>SenePy</i> : Unveiling the Cell-Type Specific Landscape of Cellular Senescence through Single-Cell Analysis in Living OrganismsSemantic proximity Read ↗

Intra-subject variability in human bone marrow stromal cell (BMSC) replicative senescence: molecular changes associated with BMSC senescence.Semantic proximity Read ↗

Single senescent cell sequencing reveals heterogeneity in senescent cells induced by telomere erosionSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.