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

MicroRNA-related markers associated with corpus luteum tropism in buffalo (Bubalus bubalis).

A Jerome | J Bhati | D C Mishra | K K Chaturvedi | A R Rao | A Rai | P Sikka | I Singh
Genomics | 2020

The study was undertaken to decipher the microRNA (miRNA) related markers associated with corpus luteum (CL) tropism in buffalo. The data obtained from deep sequencing of CL tissue from different physiological stages was mined in silico for the identification of miRNA-related markers (SSR & SNP). From the present study, 5 annotated and 176 unannotated miRNA were deduced while comparing with Bos taurus genome. In addition, 4 SSRs and 9 SNPs were deduced from the miRNA sequences. These SSRs were on the genes viz. Eukaryotic translation initiation factor 1-like, myocyte enhancer factor 2A, beta casein, T cell receptor gamma cluster 1. The SNP positions on genes viz. PYGO1 (Pygopus family PHD finger 1), LOC100337244 (Multidrug resistance-associated protein 4), FTH1 (Ferritin heavy chain 1), LOC788634 (BOLA class I histocompatibility antigen), PLXND1 (Plexin D1) and UBC (Ubiquitin C) show that these genes play critical role in CL tropism during estrous cycle in buffalo.

Pubmed ID: 30735793

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

None

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.


MISA (tool)

RRID:SCR_010765

Software tool that allows the identification and localization of perfect microsatellites as well as compound microsatellites which are interrupted by a certain number of bases.

View all literature mentions

miRDB (tool)

RRID:SCR_010848

An online database for miRNA target prediction and functional annotations.

View all literature mentions