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Karnāl, India

Janjanam J.,National Dairy Research Institute | Janjanam J.,Michigan Technological University | Jamwal M.,National Dairy Research Institute | Singh S.,National Dairy Research Institute | And 13 more authors.
Proteomics | Year: 2013

Mammary gland is made up of a branching network of ducts that end in alveoli. Terminally differentiated mammary epithelial cells (MECs) constitute the innermost layer of aveoli. They are milk-secreting cuboidal cells that secrete milk proteins during lactation. Little is known about the expression profile of proteins in the metabolically active MECs during lactation or their functional role in the lactation process. In the present investigation, we have reported the proteome map of MECs in lactating cows using 2DE MALDI-TOF/TOF MS and 1D-Gel-LC-MS/MS. MECs were isolated from milk using immunomagnetic beads and confirmed by RT-PCR and Western blotting. The 1D-Gel-LC-MS/MS and 2DE-MS/MS based approaches led to identification of 431 and 134 proteins, respectively, with a total of 497 unique proteins. Proteins identified in this study were clustered into functional groups using bioinformatics tools. Pathway analysis of the identified proteins revealed 28 pathways (p < 0.05) providing evidence for involvement of various proteins in lactation function. This study further provides experimental evidence for the presence of many proteins that have been predicted in annotated bovine genome. The data generated further provide a set of bovine MEC-specific proteins that will help the researchers to understand the molecular events taking place during lactation. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Source

Kataria R.S.,DNA Fingerprinting Unit | Tait Jr. R.G.,Iowa State University | Kumar D.,DNA Fingerprinting Unit | Ortega M.A.,University of Puerto Rico at Mayaguez | And 2 more authors.
Immunogenetics | Year: 2011

Toll-like receptor 4 (TLR4) is a receptor protein that binds pathogen ligands, which are mainly associated with Gram-negative bacteria. The objective of this study was to investigate the association of nucleotide polymorphisms in TLR4 with infectious bovine keratoconjunctivitis (IBK), or pinkeye, incidence in American Angus cattle. Animals with previously calculated breeding values for IBK susceptibility were used to identify two SNPs in TLR4; Int1 (A/G) in intron1 (-26 Ex2 position) and Ex3 (C/T) in exon3 (1,678 position). To investigate the possible role of these SNPs in IBK susceptibility, the disease incidence information was collected on 370 calves raised in Iowa at two time points-June or August (disease season) and October (at weaning) and genotyped using PCR-RFLP protocols. In statistical models including year, pasture management group, and SNP, the Int1 SNP had a significant effect on IBK infection rates both in-season (P∈<∈0.05) and at weaning (P∈<∈0.01), whereas the Ex3 SNP was not significant (P∈>∈0.79) at either time point. Furthermore, the Int1 SNP alone could account for 2.1% of phenotypic variation in IBK infection during the disease season and 3.0% of phenotypic variation in IBK infection at the time of weaning. These data indicate that there is a relationship between Int1 genotype and the rate of IBK infection in American Angus cattle. © 2010 Springer-Verlag. Source

Shrivastava P.,DNA Fingerprinting Unit | Jain T.,DNA Fingerprinting Unit | Jain T.,Jiwaji University | Trivedi V.B.,DNA Fingerprinting Unit
International Journal of Legal Medicine | Year: 2016

An analysis of 15 autosomal short tandem repeat (STR) loci and 17 Y-STR loci was performed in 123 unrelated members of the Oraon tribal community of Central India. The combined power of discrimination (CPD) and combined power of exclusion (CPE) were greater than 0.99999 and 0.999989, respectively, for autosomal STRs. In addition, a total of 58 distinct Y-STR haplotypes were observed out of which 54 Y-STR haplotypes were observed only once. The haplotype diversity and discrimination capacity for 17 Y-STR loci was 0.997 and 0.906, respectively. © 2016 Springer-Verlag Berlin Heidelberg Source

Dubey P.K.,DNA Fingerprinting Unit | Goyal S.,DNA Fingerprinting Unit | Aggarwal J.,DNA Fingerprinting Unit | Gahlawat S.K.,Ch Devi Lal University | And 3 more authors.
Journal of Applied Animal Research | Year: 2012

In this study, a simple PCR-based tetra-primers amplification refractory mutation system (ARMS)-PCR technique has been developed to screen one of the synonymous Single Nucleotide Polymorphism (SNPs) 1551A >G found in buffalo TLR8 gene. The technique was employed to screen 152 genomic DNA samples represented by various riverine and swamp buffaloes. Analysis of data revealed presence of all the three AA, A/G and GG genotypes in Chilika buffalo - whereas only genotype GG was found in all other riverine and swamp buffaloes. The results indicate allele 'A' to be Chilika specific and that the technique of tetra-primers ARMS-PCR can be used as a cost-effective, alternate method to differentiate the genotypes. © 2012 Taylor & Francis. Source

Shrivastava P.,DNA Fingerprinting Unit | Gupta U.,DNA Fingerprinting Unit | Jain T.,DNA Fingerprinting Unit | Trivedi V.B.,DNA Fingerprinting Unit | Kakkar S.,PGIMER
SpringerBriefs in Applied Sciences and Technology | Year: 2016

India is a country of variety of populations which include various caste and tribes. In order to decipher the genetic portrait of Bhil, the highest populated tribe of Central India, we undertook a study on 183 healthy unrelated individuals from Bhil tribe and assessed the intra and inter population genetic variation using 15 biparental autosomal and 12 sex linked X STR markers. Besides finding the genetic portrait an attempt was also made to establish relation if at all any, between these two set of markers. For comparison, only those populations were selected from the world vide published data on which population data was reported on the same 15 autosomal and 12 X STR markers and from the same province. The genotyping work used in this study was done with the financial support from Madhya Pradesh Council of Science and Technology and Biotechnology Council of Madhya Pradesh. © The Author(s) 2016. Source

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