Skip to search boxSkip to navigationSkip to main content

MicroRNA signature of the human developing pancreas

  • Samuel Rosero
    ,
  • ,
  • Zhijie Jiang
    ,
  • Sawsan Khuri
    ,
  • Nicholas Tsinoremas
    ,
  • Dagmar Klein
*Corresponding author for this work
  • University of Miami
Scholary Output:
Contribution to journal
Article
Research
Peer-review

Open access

Abstract

Background: MicroRNAs are non-coding RNAs that regulate gene expression including differentiation and development by either inhibiting translation or inducing target degradation. The aim of this study is to determine the microRNA expression signature during human pancreatic development and to identify potential microRNA gene targets calculating correlations between the signature microRNAs and their corresponding mRNA targets, predicted by bioinformatics, in genome-wide RNA microarray study.Results: The microRNA signature of human fetal pancreatic samples 10-22 weeks of gestational age (wga), was obtained by PCR-based high throughput screening with Taqman Low Density Arrays. This method led to identification of 212 microRNAs. The microRNAs were classified in 3 groups: Group number I contains 4 microRNAs with the increasing profile; II, 35 microRNAs with decreasing profile and III with 173 microRNAs, which remain unchanged. We calculated Pearson correlations between the expression profile of microRNAs and target mRNAs, predicted by TargetScan 5.1 and miRBase altgorithms, using genome-wide mRNA expression data. Group I correlated with the decreasing expression of 142 target mRNAs and Group II with the increasing expression of 876 target mRNAs. Most microRNAs correlate with multiple targets, just as mRNAs are targeted by multiple microRNAs. Among the identified targets are the genes and transcription factors known to play an essential role in pancreatic development.Conclusions: We have determined specific groups of microRNAs in human fetal pancreas that change the degree of their expression throughout the development. A negative correlative analysis suggests an intertwined network of microRNAs and mRNAs collaborating with each other. This study provides information leading to potential two-way level of combinatorial control regulating gene expression through microRNAs targeting multiple mRNAs and, conversely, target mRNAs regulated in parallel by other microRNAs as well. This study may further the understanding of gene expression regulation in the human developing pancreas.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Research
Peer-review

Original language

English (US)

Article number

509

Journal (Volume, Issue Number)

BMC Genomics (Volume 11, Issue 1)

Publication milestones

  • Published - 09/22/2010

Publication status

Published - 09/22/2010

ISSN

1471-2164

Publication IDs

  • Scopus: 77956863085
  • PubMed: 20860821

Publication metrics

Metrics

SciVal
citations
50
Scopus
citations
SciVal
FWCI
1.53
SciVal
Author count
12
SciVal
Paper percentile
90
SciVal
Top percentile
10
Fractional count
1
Fractional count
0.08
Fractional count
11
Fractional count
0.92
Fractional count
1
Fractional count
1

PlumX, opens in new tab

Citation count
53
Captures
83

Funding Details

This work was supported by the Diabetes Research Institute Foundation, the Peacock Foundation and the Foundation for Diabetes Research.
FundersFunding numbers
DRIF
-
PFI
-
Molly Foundation for Diabetes Research
-