Evidence map›Paper›PMID 29042584›Full record

ArticleScientific reports2017

The Role of Chromatin Density in Cell Population Heterogeneity during Stem Cell Differentiation.

Mahdi Golkaram, Jiwon Jang, Stefan Hellander, Kenneth S Kosik, Linda R Petzold

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

5 authors at 1 institution in 2 countries.

Mahdi GolkaramDepartment of Mechanical Engineering, University of California, Santa Barbara, Santa Barbara, CA, USA. m_golkaram@umail.ucsb.edu.
Jiwon JangDepartment of Molecular, Cellular, and Developmental Biology, Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA.
Stefan HellanderDepartment of Computer Science, University of California, Santa Barbara, Santa Barbara, CA, USA.
Kenneth S KosikDepartment of Molecular, Cellular, and Developmental Biology, Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA.
Linda R PetzoldDepartment of Mechanical Engineering, University of California, Santa Barbara, Santa Barbara, CA, USA.
University of California, Santa Barbara · US

Funding

StochSS: A Next-Generation Toolkit for Simulation-Driven Biological DiscoveryR01EB014877 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PETZOLD, LINDA R. · 2012 to 2022
$3.9M
NIBIB NIH HHS R01 EB014877
6 · The paper itself

Abstract

We incorporate three-dimensional (3D) conformation of chromosome (Hi-C) and single-cell RNA sequencing data together with discrete stochastic simulation, to explore the role of chromatin reorganization in determining gene expression heterogeneity during development. While previous research has emphasized the importance of chromatin architecture on activation and suppression of certain regulatory genes and gene networks, our study demonstrates how chromatin remodeling can dictate gene expression distribution by folding into distinct topological domains. We hypothesize that the local DNA density during differentiation accentuate transcriptional bursting due to the crowding effect of chromatin. This phenomenon yields a heterogeneous cell population, thereby increasing the potential of differentiation of the stem cells.

Indexed as

Cell DifferentiationCell LineChromatinChromatin Assembly and DisassemblyHuman Embryonic Stem CellsHumansChromatin

Identifiers

PMID29042584
PMCPMC5645312
OpenAlexW2762984032

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.