Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

MicroRNAs Associated With Incident Diabetes in the Diabetes Prevention Program.

Elena Flowers | Bradley E Aouizerat | Alka M Kanaya | Jose C Florez | Xingyue Gong | Li Zhang
The Journal of clinical endocrinology and metabolism | 2023

MicroRNAs (miRs) are short (ie, 18-26 nucleotide) regulatory elements of messenger RNA translation to amino acids.

Pubmed ID: 36477577

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: K24 HL112827
  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK092924
  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK098722

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


geNORM (tool)

RRID:SCR_006763

Software to determine most stable reference (housekeeping) genes from set of tested candidate reference genes in given sample panel. From this, gene expression normalization factor can be calculated for each sample based geometric mean of user-defined number of reference genes.

View all literature mentions

Common Metabolic Diseases Knowledge Portal (tool)

RRID:SCR_020937

Portal enables browsing, searching, and analysis of human genetic information linked to common metabolic diseases and traits, while protecting integrity and confidentiality of underlying data. Aggregates and analyzes genetic association results, epigenomic annotations, and results of computational prediction methods to provide data, visualizations, and tools in open access portal.

View all literature mentions