Evidence map›Paper›PMID 28065881›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2017

An integrated transcriptomics-guided genome-wide promoter analysis and next-generation proteomics approach to mine factor(s) regulating cellular differentiation.

Kamal Mandal, Samuel L Bader, Pankaj Kumar, Dipankar Malakar, David S Campbell, Bhola Shankar Pradhan, Rajesh K Sarkar, Neerja Wadhwa, Souvik Sensharma, Vaibhav Jain and 2 more

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Etiology of Male Infertility: an Update.Reproductive sciences (Thousand Oaks, Calif.) · 2024
    Review
  2. Article
  3. Article
  4. Article
  5. Retinoid-related orphan nuclear receptor alpha (RORα)-deficient mice display morphological testicular defects.Laboratory investigation; a journal of technical methods and pathology · 2019
    Article
  6. 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

12 authors.

Kamal MandalCellular Endocrinology Laboratory, National Institute of Immunology, New Delhi, India.
Samuel L BaderInstitute for Systems Biology, Seattle, WA 98109, USA.
Pankaj KumarG.N.R. Knowledge Centre for Genome Informatics, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India.
Dipankar MalakarSciex, Gurgaon, Haryana, India.
David S CampbellInstitute for Systems Biology, Seattle, WA 98109, USA.
Bhola Shankar PradhanCellular Endocrinology Laboratory, National Institute of Immunology, New Delhi, India.
Rajesh K SarkarCellular Endocrinology Laboratory, National Institute of Immunology, New Delhi, India.
Neerja WadhwaCellular Endocrinology Laboratory, National Institute of Immunology, New Delhi, India.
Souvik SensharmaCellular Endocrinology Laboratory, National Institute of Immunology, New Delhi, India.
Vaibhav JainNext-Generation Sequencing Facility, National Institute of Immunology, New Delhi, India.
Robert L MoritzInstitute for Systems Biology, Seattle, WA 98109, USA.
Subeer S MajumdarCellular Endocrinology Laboratory, National Institute of Immunology, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differential next-generation-omics approaches aid in the visualization of biological processes and pave the way for divulging important events and/or interactions leading to a functional output at cellular or systems level. To this end, we undertook an integrated Nextgen transcriptomics and proteomics approach to divulge differential gene expression of infant and pubertal rat Sertoli cells (Sc).Unlike, pubertal Sc, infant Sc are immature and fail to support spermatogenesis. We found exclusive association of 14 and 19 transcription factor binding sites to infantile and pubertal states of Sc, respectively, using differential transcriptomics-guided genome-wide computational analysis of relevant promoters employing 220 Positional Weight Matrices from the TRANSFAC database. Proteomic SWATH-MS analysis provided extensive quantification of nuclear and cytoplasmic protein fractions revealing 1,670 proteins differentially located between the nucleus and cytoplasm of infant Sc and 890 proteins differentially located within those of pubertal Sc. Based on our multi-omics approach, the transcription factor YY1 was identified as one of the lead candidates regulating differentiation of Sc.YY1 was found to have abundant binding sites on promoters of genes upregulated during puberty. To determine its significance, we generated transgenic rats with Sc specific knockdown of YY1 that led to compromised spermatogenesis.

Indexed as

Cell DifferentiationGene Expression Regulation, DevelopmentalPromoter Regions, GeneticAnimalsGene Expression ProfilingMaleProteomicsRatsRats, WistarSertoli CellsSpermatogenesisTestisYY1 Transcription FactorYY1 Transcription Factorcellular differentiationmulti-omicssertoli cellSWATH-MSTRANSFAC

Identifiers

PMID28065881
PMCPMC5397609

What OpenQuestion holds

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LicenceCC BY-NC
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.