Evidence map›Paper›PMID 33375241›Full record

ArticleInternational journal of molecular sciences2020

Quantitative Proteomic Profiling of Small Molecule Treated Mesenchymal Stem Cells Using Chemical Probes.

Jerran Santos, Sibasish Dolai, Matthew B O'Rourke, Fei Liu, Matthew P Padula, Mark P Molloy, Bruce K Milthorpe

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 3 institutions in 1 country.

Jerran SantosAdvanced Tissue Engineering and Stem Cell Biology Group, School of Life Sciences, University of Technology Sydney, P.O. Box 123, Broadway, NSW 2007, Australia.ORCID 0000-0003-4067-220X
Sibasish DolaiDepartment of Chemistry and Biomolecular Sciences, Macquarie University, North Ryde, NSW 2109, Australia.
Matthew B O'RourkeNorthern Clinical School, Bowel Cancer & Biomarker Lab, Faculty of Medicine and Health, The University of Sydney, Lvl 8, Kolling Instiute, Royal North Shore Hospital, St. Leonards, NSW 2065, Australia.ORCID 0000-0002-0552-2962
Fei LiuDepartment of Chemistry and Biomolecular Sciences, Macquarie University, North Ryde, NSW 2109, Australia.ORCID 0000-0002-2175-6670
Matthew P PadulaSchool of Life Sciences, Faculty of Science, University of Technology Sydney, P.O. Box 123, Broadway, NSW 2007, Australia.ORCID 0000-0002-8283-0643
Mark P MolloyDepartment of Chemistry and Biomolecular Sciences, Macquarie University, North Ryde, NSW 2109, Australia.
Bruce K MilthorpeAdvanced Tissue Engineering and Stem Cell Biology Group, School of Life Sciences, University of Technology Sydney, P.O. Box 123, Broadway, NSW 2007, Australia.ORCID 0000-0002-0867-9586
University of Technology Sydney · AUMacquarie University · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The differentiation of human adipose derived stem cells toward a neural phenotype by small molecules has been a vogue topic in the last decade. The characterization of the produced cells has been explored on a broad scale, examining morphological and specific surface protein markers; however, the lack of insight into the expression of functional proteins and their interactive partners is required to further understand the extent of the process. The phenotypic characterization by proteomic profiling allows for a substantial in-depth analysis of the molecular machinery induced and directing the cellular changes through the process. Herein we describe the temporal analysis and quantitative profiling of neural differentiating human adipose-derived stem cells after sub-proteome enrichment using a bisindolylmaleimide chemical probe. The results show that proteins enriched by the Bis-probe were identified reproducibly with 133, 118, 126 and 89 proteins identified at timepoints 0, 1, 6 and 12, respectively. Each temporal timepoint presented several shared and unique proteins relative to neural differentiation and their interactivity. The major protein classes enriched and quantified were enzymes, structural and ribosomal proteins that are integral to differentiation pathways. There were 42 uniquely identified enzymes identified in the cells, many acting as hubs in the networks with several interactions across the network modulating key biological pathways. From the cohort, it was found by gene ontology analysis that 18 enzymes had direct involvement with neurogenic differentiation.

Indexed as

Cell DifferentiationNeurogenesisBiomarkersEnzyme InhibitorsHumansIndolesMaleimidesMesenchymal Stem CellsPhenotypeProteomeBiomarkersbisindolylmaleimide IEnzyme InhibitorsIndolesMaleimidesProteomeadipose derived stem/stromal cellsBis-probeneural differentiationquantitative proteomicssmall molecules

Identifiers

PMID33375241
PMCPMC7795898
OpenAlexW3117966255

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.