Evidence map›Paper›PMID 25928148›Full record

ArticlePloS one2015

A systems biology approach identifies a regulatory network in parotid acinar cell terminal differentiation.

Melissa A Metzler, Srirangapatnam G Venkatesh, Jaganathan Lakshmanan, Anne L Carenbauer, Sara M Perez, Sarah A Andres, Savitri Appana, Guy N Brock, James L Wittliff, Douglas S Darling

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Melissa A MetzlerDepartment of Oral Immunology and Infectious Diseases, University of Louisville, Louisville, Kentucky, United States of America; Department of Biochemistry & Molecular Biology, University of Louisville, Louisville, Kentucky, United States of America; Institute for Molecular Diversity and Drug Design, University of Louisville, Louisville, Kentucky, United States of America and.
Srirangapatnam G VenkateshDepartment of Oral Immunology and Infectious Diseases, University of Louisville, Louisville, Kentucky, United States of America; Institute for Molecular Diversity and Drug Design, University of Louisville, Louisville, Kentucky, United States of America and.
Jaganathan LakshmananDepartment of Oral Immunology and Infectious Diseases, University of Louisville, Louisville, Kentucky, United States of America.
Anne L CarenbauerDepartment of Oral Immunology and Infectious Diseases, University of Louisville, Louisville, Kentucky, United States of America.
Sara M PerezDepartment of Oral Immunology and Infectious Diseases, University of Louisville, Louisville, Kentucky, United States of America.
Sarah A AndresDepartment of Biochemistry & Molecular Biology, University of Louisville, Louisville, Kentucky, United States of America; Institute for Molecular Diversity and Drug Design, University of Louisville, Louisville, Kentucky, United States of America and.
Savitri AppanaDepartment of Bioinformatics and Biostatistics, University of Louisville, Louisville, Kentucky, United States of America.
Guy N BrockDepartment of Bioinformatics and Biostatistics, University of Louisville, Louisville, Kentucky, United States of America.
James L WittliffDepartment of Biochemistry & Molecular Biology, University of Louisville, Louisville, Kentucky, United States of America; Institute for Molecular Diversity and Drug Design, University of Louisville, Louisville, Kentucky, United States of America and.
Douglas S DarlingDepartment of Oral Immunology and Infectious Diseases, University of Louisville, Louisville, Kentucky, United States of America; Department of Biochemistry & Molecular Biology, University of Louisville, Louisville, Kentucky, United States of America; Institute for Molecular Diversity and Drug Design, University of Louisville, Louisville, Kentucky, United States of America and.
University of Louisville · US

Funding

Mathematical Model of Parotid Acinar DifferentiationR01DE019243 · NIDCR · UNIVERSITY OF LOUISVILLE · PI DARLING, DOUGLAS S, REMPALA, GRZEGORZ A · 2008 to 2012
$2.2M
MicroRNAs and Parotid Acinar Cell DifferentiationF31DE022679 · NIDCR · UNIVERSITY OF LOUISVILLE · PI METZLER, MELISSA A · 2012 to 2015
$117k
NIDCR NIH HHS F31 DE022679NIDCR NIH HHS F31DE022679NIDCR NIH HHS R01 DE019243NIDCR NIH HHS R01DE019243
6 · The paper itself

Abstract

objectiveThe transcription factor networks that drive parotid salivary gland progenitor cells to terminally differentiate, remain largely unknown and are vital to understanding the regeneration process. METHODOLOGY: A systems biology approach was taken to measure mRNA and microRNA expression in vivo across acinar cell terminal differentiation in the rat parotid salivary gland. Laser capture microdissection (LCM) was used to specifically isolate acinar cell RNA at times spanning the month-long period of parotid differentiation.

resultsClustering of microarray measurements suggests that expression occurs in four stages. mRNA expression patterns suggest a novel role for Pparg which is transiently increased during mid postnatal differentiation in concert with several target gene mRNAs. 79 microRNAs are significantly differentially expressed across time. Profiles of statistically significant changes of mRNA expression, combined with reciprocal correlations of microRNAs and their target mRNAs, suggest a putative network involving Klf4, a differentiation inhibiting transcription factor, which decreases as several targeting microRNAs increase late in differentiation. The network suggests a molecular switch (involving Prdm1, Sox11, Pax5, miR-200a, and miR-30a) progressively decreases repression of Xbp1 gene transcription, in concert with decreased translational repression by miR-214. The transcription factor Xbp1 mRNA is initially low, increases progressively, and may be maintained by a positive feedback loop with Atf6. Transfection studies show that Xbp1 activates the Mist1 promoter [corrected]. In addition, Xbp1 and Mist1 each activate the parotid secretory protein (Psp) gene, which encodes an abundant salivary protein, and is a marker of terminal differentiation.

conclusionThis study identifies novel expression patterns of Pparg, Klf4, and Sox11 during parotid acinar cell differentiation, as well as numerous differentially expressed microRNAs. Network analysis identifies a novel stemness arm, a genetic switch involving transcription factors and microRNAs, and transition to an Xbp1 driven differentiation network. This proposed network suggests key regulatory interactions in parotid gland terminal differentiation.

Indexed as

Acinar CellsAnimalsBasic Helix-Loop-Helix ProteinsCell DifferentiationDNA-Binding ProteinsFemaleGene Regulatory NetworksKruppel-Like Factor 4Parotid GlandPregnancyRatsRegulatory Factor X Transcription FactorsRNA, MessengerSystems BiologyTranscription FactorsX-Box Binding Protein 1Basic Helix-Loop-Helix ProteinsBhlha15 protein, ratDNA-Binding ProteinsKlf4 protein, ratKruppel-Like Factor 4Regulatory Factor X Transcription FactorsRNA, MessengerTranscription FactorsX-Box Binding Protein 1Xbp1 protein, rat

Identifiers

PMID25928148
PMCPMC4416001
OpenAlexW2049106582

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.