Evidence map›Paper›PMID 25765854›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2015

Organizational metrics of interchromatin speckle factor domains: integrative classifier for stem cell adhesion & lineage signaling.

Sebastián L Vega, Anandika Dhaliwal, Varun Arvind, Parth J Patel, Nick R M Beijer, Jan de Boer, N Sanjeeva Murthy, Joachim Kohn, Prabhas V Moghe

Open access · bronzeAbstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2015. 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
1.6field-weighted citation impact, top 19% 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, 11 citations in OpenAlex.

  1. Article
  2. Architecture in 3D cell culture: An essential feature for in vitro toxicology.Toxicology in vitro : an international journal published in association with BIBRA · 2017
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Time series modeling of live-cell shape dynamics for image-based phenotypic profiling.Integrative biology : quantitative biosciences from nano to macro · 2016
    Article
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

9 authors at 4 institutions in 3 countries.

Sebastián L VegaDepartment of Chemical and Biochemical Engineering, Rutgers University, Piscataway, New Jersey, USA.
Anandika Dhaliwal
Varun Arvind
Parth J Patel
Nick R M Beijer
Jan de Boer
N Sanjeeva Murthy
Joachim Kohn
Prabhas V Moghe
Rutgers Sexual and Reproductive Health and Rights · NLRutgers, The State University of New Jersey · USMaastricht University · NLUniversity of Twente · NL

Funding

RESBIO - the Technology Resource for Polymeric BiomaterialsP41EB001046 · NIBIB · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI KOHN, JOACHIM B. · 2003 to 2017
$17.0M
Translational Research in Regenerative MedicineT32EB005583 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI LEE, KIBUM, PAREKKADAN, BIJU · 2006 to 2022
$4.7M
NIBIB NIH HHS EB001046NIBIB NIH HHS P41 EB001046NIBIB NIH HHS T32 EB005583
6 · The paper itself

Abstract

Stem cell fates on biomaterials are influenced by the complex confluence of microenvironmental cues emanating from soluble growth factors, cell-to-cell contacts, and biomaterial properties. Cell-microenvironment interactions influence the cell fate by initiating a series of outside-in signaling events that traverse from the focal adhesions to the nucleus via the cytoskeleton and modulate the sub-nuclear protein organization and gene expression. Here, we report a novel imaging-based framework that highlights the spatial organization of sub-nuclear proteins, specifically the splicing factor SC-35 in the nucleoplasm, as an integrative marker to distinguish between minute differences of stem cell lineage pathways in response to stimulatory soluble factors, surface topologies, and microscale topographies. This framework involves the high resolution image acquisition of SC-35 domains and imaging-based feature extraction to obtain quantitative nuclear metrics in tandem with machine learning approaches to generate a predictive cell state classification model. The acquired SC-35 metrics led to >90% correct classification of emergent human mesenchymal stem cell (hMSC) phenotypes in populations of hMSCs exposed for merely 3 days to basal, adipogenic, or osteogenic soluble cues, as well as varying levels of dexamethasone-induced alkaline phosphatase (ALP) expression. Early osteogenic cellular responses across a series of surface patterns, fibrous scaffolds, and micropillars were also detected and classified using this imaging-based methodology. Complex cell states resulting from inhibition of RhoGTPase, β-catenin, and FAK could be classified with >90% sensitivity on the basis of differences in the SC-35 organizational metrics. This indicates that SC-35 organization is sensitively impacted by adhesion-related signaling molecules that regulate osteogenic differentiation. Our results show that diverse microenvironment cues affect different attributes of the SC-35 organizational metrics and lead to distinct emergent organizational patterns. Taken together, these studies demonstrate that the early organization of SC-35 domains could serve as a "fingerprint" of the intracellular mechanotransductive signaling that governs growth factor- and topography-responsive stem cell states.

Indexed as

AdipocytesCell AdhesionCell DifferentiationCells, CulturedChromatinHumansImage Interpretation, Computer-AssistedMesenchymal Stem CellsMicroscopy, ConfocalNuclear ProteinsOsteoblastsPattern Recognition, AutomatedRibonucleoproteinsSerine-Arginine Splicing FactorsChromatinNuclear ProteinsRibonucleoproteinsSerine-Arginine Splicing FactorsSRSF2 protein, human

Identifiers

PMID25765854
PMCPMC4390534
OpenAlexW2043218483

What OpenQuestion holds

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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.