Evidence map›Paper›PMID 38997535›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Quality Control in Human Adipose-Derived Stromal/Stem Cells and Tissue Engineering Fat Models for Aging Studies.

Katie Hamel, Jordan Robinson, Emma Rogers, Haley Lassiter, Trivia Frazier, Cecilia Sanchez

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Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Katie HamelObatala Sciences, Inc., New Orleans, LA, USA.
Jordan RobinsonObatala Sciences, Inc., New Orleans, LA, USA.
Emma RogersObatala Sciences, Inc., New Orleans, LA, USA.
Haley LassiterObatala Sciences, Inc., New Orleans, LA, USA.
Trivia FrazierObatala Sciences, Inc., New Orleans, LA, USA.
Cecilia SanchezObatala Sciences, Inc., New Orleans, LA, USA. Cecilia.sanchez@obatalasciences.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipose tissue is recognized not only as an endocrine organ but also as a reservoir for adipose-derived stromal/stem cells (ASCs). ASCs have stimulated the interest of both the scientific and medical communities due to their therapeutic potential and applications in tissue engineering and regenerative medicine. ASCs are leveraged for their multipotency and their paracrine function. ASC behavior is highly variable and donor dependent. Donor age, body mass index, disease status, sex, and ethnicity can lead to differential overall function and quality. The impact of donor age and passage on ASC behavior has been well documented, impacting cell proliferation and differentiation potential and thus must be taken into careful consideration when conducting in vitro studies. Pooling of ASCs from different donors reduces heterogeneity among individual donors and produces ASCs with a consistent differentiation and paracrine profiles, an advantage for studies in biological aging. This chapter provides a detailed overview for studies related to quality control for ASC pools considering biological and chronological aging in ASCs. There are hallmarks of biological aging and specific assays associated with the evaluation of each hallmark. Nevertheless, here we present the assays that provide a standardized characterization and qualification of donor pools for their regenerative potential, considering chronological and biological age of the pool. The assays included in this chapter are considered quality control standards to evaluate cell proliferation, differentiation, colony-forming units, and cellular senescence from different donor age and cell passage cohorts.

Indexed as

Adipose TissueAgingMesenchymal Stem CellsTissue EngineeringCell Culture TechniquesCell DifferentiationCell ProliferationCells, CulturedCellular SenescenceHumansQuality ControlAdipose-derived stromal/stem cellAgingCellular senescenceColony-forming unit-fibroblastDifferentiationIn vitro cultureProliferation

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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.