ReviewNucleus (Austin, Tex.)2016
Organization of nuclear architecture during adipocyte differentiation.
Review in Nucleus (Austin, Tex.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- Defining the role of 2,2',4,4'-tetrabromodiphenyl ether in 3T3-L1 cellular differentiation by transcriptome sequencing analysis.Adipocyte · 2024Article
- Aberrant overexpression of HOTAIR inhibits abdominal adipogenesis through remodelling of genome-wide DNA methylation and transcription.Molecular metabolism · 2022Article
- Antiobesity Potential of Bioactive Constituents from Dichloromethane Extract ofBioMed research international · 2022Article
- KRAS Affects Adipogenic Differentiation by Regulating Autophagy and MAPK Activation in 3T3-L1 and C2C12 Cells.International journal of molecular sciences · 2021Article
- Alteration of active and repressive histone marks during adipogenic differentiation of porcine mesenchymal stem cells.Scientific reports · 2021Article
- Adipogenesis as a Potential Anti-Obesity Target: A Review of Pharmacological Treatment and Natural Products.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Review
- Immune response triggered by Trypanosoma cruzi infection strikes adipose tissue homeostasis altering lipid storage, enzyme profile and adipokine expression.Medical microbiology and immunology · 2019Article
- The importance of the nuclear positioning of the PPARG gene for its expression during porcine in vitro adipogenesis.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2019Article
- Bioactive fraction fromJournal of experimental pharmacology · 2019Article
- In focus in HCB.Histochemistry and cell biology · 2018Article
- Nuclear organization during in vitro differentiation of porcine mesenchymal stem cells (MSCs) into adipocytes.Histochemistry and cell biology · 2018Article
- Hierarchical role for transcription factors and chromatin structure in genome organization along adipogenesis.The FEBS journal · 2017Article
- Super-resolution structure of DNA significantly differs in buccal cells of controls and Alzheimer's patients.Journal of cellular physiology · 2017Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity is a serious health problem worldwide since it is a major risk factor for chronic diseases such as type II diabetes. Obesity is the result of hyperplasia (associated with increased adipogenesis) and hypertrophy (associated with decreased adipogenesis) of the adipose tissue. Therefore, understanding the molecular mechanisms underlying the process of adipocyte differentiation is relevant to delineate new therapeutic strategies for treatment of obesity. As in all differentiation processes, temporal patterns of transcription are exquisitely controlled, allowing the acquisition and maintenance of the adipocyte phenotype. The genome is spatially organized; therefore decoding local features of the chromatin language alone does not suffice to understand how cell type-specific gene expression patterns are generated. Elucidating how nuclear architecture is built during the process of adipogenesis is thus an indispensable step to gain insight in how gene expression is regulated to achieve the adipocyte phenotype. Here we will summarize the recent advances in our understanding of the organization of nuclear architecture as progenitor cells differentiate in adipocytes, and the questions that still remained to be answered.
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Registered trials
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 Socratic graph.