8 results on '"Panigrahi, Manjit"'
Search Results
2. LEPTIN INCREASES NITRIC OXIDE LEVEL VIA INCREASE IN iNOS EXPRESSION IN EARLY PREGNANT MOUSE UTERUS.
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D. G., Kishor Kumar, M., Pashupathi, Anjali, Panigrahi, Manjit, C. L., Madhu, M., Kesavan, Singh, Thakur Uttam, Kumar, Dinesh, and Parida, Subhashree
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LEPTIN ,GENE expression ,NITRIC oxide ,NITRIC-oxide synthases ,WHITE adipose tissue ,UTERUS - Abstract
Leptin is an adipokine hormone secreted primarily from the white adipose tissue and leptin levels are usually elevated in obese individuals. Leptin is known to mediate the relaxation of the uterus in the pregnant mouse by increasing Nitric Oxide (NO) synthesis in late pregnancy. The present study aimed to assess the effect of a pathological concentration of leptin (3 nM) on NO synthesis in the uterus of early pregnant mice and also to evaluate its effect on the transcription of genes responsible for NO synthesis. mRNA expression studies using real-time PCR revealed that leptin (3 nM) increased the relative expression of the inducible Nitric Oxide synthase (iNOS) gene which also resulted in increased NO levels. The results suggest that higher leptin levels during early pregnancy may increase NO levels in the uterus which may result in a net decrease in uterine contractions further leading to complications in pregnancy. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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3. Relative expression of oxytocin receptor gene in buffalo endometrium in late luteal phase and pregnancy stages.
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Dilipkumar Verma, Ankita, Panigrahi, Manjit, Bhushan, Bharat, Baba, Naseer Ahmad, Sulabh, Sourabh, Sadam, Abdul, Parida, Subhashree, Sonwane, Arvind A., and Narayanan, Krisnaswami
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OXYTOCIN , *ENDOMETRIUM , *GENE expression , *MESSENGER RNA , *POLYMERASE chain reaction , *CATTLE - Abstract
Molecular level information related to buffalo (Bubalus bubalis) reproduction and related genes is not present at appropriate level. If such exploration is made in the form of comparison between expression of genes is made between non-pregnant and pregnant phase, it may be helpful to aid manipulate the reproduction. Hence, the present study was carried out to reveal mRNA quantitative real time expression of oxytocin receptor (OTR) mRNA. IFN-τ is considered as the substance of maternal recognition of pregnancy and shut down the probable mechanisms which lead to luteolysis. Such mechanism includes shutting down of OTR. Therefore, relative expression of OTR was studied in endometrial tissue of three groups. The groups were non-pregnant late luteal phase, pregnancy stage I (pregnancy of <42 days) and pregnancy stage II (>42 days of pregnancy). With designed primer and GAPDH as house-keeping gene, relative mRNA expression was measured in Real-time PCR. After statistical analysis of results, the gene found to be expressed in all three stages with non-significant difference. [ABSTRACT FROM AUTHOR]
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- 2018
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4. RNA Seq analysis for transcriptome profiling in response to classical swine fever vaccination in indigenous and crossbred pigs.
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Pathak, Shalu, Kumar, Amit, Bhuwana, G., Sah, Vaishali, Upmanyu, Vikramadiya, Tiwari, A., Sahoo, A., Wani, Sajjad, Panigrahi, Manjit, Sahoo, N., and Kumar, Ravi
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CLASSICAL swine fever vaccines ,RNA sequencing ,GENETIC transcription ,SWINE diseases ,GENE expression - Abstract
In present investigation, differential expression of transcriptome after classical swine fever (CSF) vaccination has been explored at the cellular level in crossbred and indigenous (desi) piglets. RNA Sequencing by Expectation-Maximization (RSEM) package was used to quantify gene expression from RNA Sequencing data, and differentially expressed genes (DEGs) were identified using EBSeq, DESeq2, and edgeR softwares. After analysis, 5222, 6037, and 6210 common DEGs were identified in indigenous post-vaccinated verses pre-vaccinated, crossbred post-vaccinated verses pre-vaccinated, and post-vaccinated crossbred verses indigenous pigs, respectively. Functional annotation of these DEGs showed enrichment of antigen processing-cross presentation, B cell receptor signaling, T cell receptor signaling, NF-κB signaling, and TNF signaling pathways. The interaction network among the immune genes included more number of genes with greater connectivity in vaccinated crossbred than the indigenous piglets. Higher expression of IRF3, IL1β, TAP1, CSK, SLA2, SLADM, and NF-kB in crossbred piglets in comparison to indigenous explains the better humoral response observed in crossbred piglets. Here, we predicted that the processed CSFV antigen through the T cell receptor signaling cascade triggers the B cell receptor-signaling pathway to finally activate MAPK kinase and NF-κB signaling pathways in B cell. This activation results in expression of genes/transcription factors that lead to B cell ontogeny, auto immunity and immune response through antibody production. Further, immunologically important genes were validated by qRT-PCR. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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5. Association of ACK1, TFRC polymorphism with diarrhoeagenic E. coli adhesion patterns and their jejunal expression profile in Indian Ghurrah pigs.
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Rawat, Chandrakanta, Sahoo, Nihar Ranjan, Wagh, Shivaji S., Kumar, Pushpendra, Kumar, Subodh, Sonwane, Arvind, Qureshi, Salauddin, Kumar, Amit, and Panigrahi, Manjit
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SWINE ,ADHESION ,SINGLE nucleotide polymorphisms ,SUPPORT groups ,GENE expression ,DENTAL adhesives ,PIGLETS - Abstract
A total of 9 SNPs located in TFRC and ACK1 genes of SSC13q41 genomic region were examined for their association with the adhesion pattern of native Indian pigs using local isolate of diarrhoeagenic E. coli. Phenotypic evaluation of adhesion pattern of 150 pigs revealed 116 animals positive for adhesion, whereas 34 animals had non-adhesive phenotype. Among the adhesive animals, 6, 87 and 23 pigs were strongly adhesive, weakly adhesive and adhesive, respectively. PCR–RFLP study revealed 8 polymorphic SNPs with low to moderate PIC ranging from 7.39 to 37.25% and low to high heterozygosities (8–70%). The loci g.291 C > T, rs81218930 C > T, rs318751568 C > T of TFRC and g.93222 C > A g.94600 C > T of ACK1 showed significant departure from HWE. The genotypic frequencies of the SNPs as well as the haplotypes did not differ significantly (P > 0.05) across the adhesion patterns except one SNP (ACK1-g.107371 A > C). Among the g.107371 A > C genotypes observed, CA was associated with non-adhesive phenotype. Furthermore, TFRC mRNA expression levels were found to be significantly (P < 0.05) different among various adhesive phenotypes, whereas that of ACK1 was significantly (P < 0.05) different between non-adhesive and adhesive groups. The significant association of SNP (ACK1-g.107371 A > C), which was also previously reported to influence ETECF4 mediated diarrhoea susceptibility, implicates its wider application in genetic control of piglet diarrhoea. Furthermore, the up-regulation of TFRC gene expression in adhesive group supports its proposed role in activation of immune cells against E. coli and intracellular iron transport. [ABSTRACT FROM AUTHOR]
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- 2019
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6. Leptin decreases the transcription of BKCa channels and Gs to Gi protein-ratio in late pregnant rat uterus.
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Pavithra, S., Kishor Kumar, D.G., Ramesh, G., Panigrahi, Manjit, Sahoo, Monalisa, Madhu, C.L., Singh, Thakur Uttam, Kumar, Dinesh, and Parida, Subhashree
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LEPTIN receptors , *LEPTIN , *UTERUS , *GENE expression , *PREMATURE labor , *PREGNANCY outcomes , *HIGH-fat diet - Abstract
• Leptin increases the expression of its own receptor and signaling transducer, JAK2. • Leptin reduces Gs to Gi protein ratio in receptor- and JAK-2-dependent manner. • It also decreases the expression of BK Caα and BK Caβ channel subunits. • These findings collectively suggest that leptin would exert an inhibitory influence on against-induced uterine relaxation in late pregnancy. Obesity can have a significant impact on pregnancy outcomes by compromising the ability of the uterus to relax, which increases the likelihood of conditions such as preterm labor. One of the key pathways responsible for uterine relaxation is the β-adrenergic signaling pathway, and it is well-documented that obesity, often linked to a high-fat diet, can disrupt this pathway within the uterine environment. Hyperleptinemia is a significant feature of pregnancy as well as obesity. However, the effect of leptin on β-adrenergic signaling pathway has not been studied. In the present study, we studied the effects of leptin on transcriptions of the major proteins defining the β-adrenergic signaling pathway in pregnant rat uterus. Leptin treatment at a supraphysiological concentration to pregnant rat uterine strips increased the mRNA and protein expressions of Gs protein but not the mRNA of β 2 - and β 3 -adrenoceptors. It also enhanced the expression of Gi-protein, but not the Gq protein. Nevertheless, the mRNA ratio of Gs to Gi protein experienced a significant decrease. Further, leptin reduced the transcription of BK Caα and BK Caβ channel subunits. In leptin-stimulated tissues, there was also an increase in the expression of leptin receptor and JAK-2. In conclusion, leptin decreases the ratio of Gs to Gi proteins and BK Caα and BK Caβ channel subunits suggesting hyperleptinemia is a likely factor inducing uterine relaxant dysfunction in obesity. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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7. Copy number variation in livestock: A mini review.
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Bhanuprakash, V., Chhotaray, Supriya, Pruthviraj, D. R., Rawat, Chandrakanta, Karthikeyan, A., and Panigrahi, Manjit
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DNA copy number variations , *BASE pairs , *SINGLE nucleotide polymorphisms , *GENOMICS , *GENE expression , *PHENOTYPES - Abstract
Copy number variation (CNV) is a phenomenon in which sections of the genome, ranging from one kilo base pair (Kb) to several million base pairs (Mb), are repeated and the number of repeats vary between the individuals in a population. It is an important source of genetic variation in an individual which is now being utilized rather than single nucleotide polymorphisms (SNPs), as it covers the more genomic region. CNVs alter the gene expression and change the phenotype of an individual due to deletion and duplication of genes in the copy number variation regions (CNVRs). Earlier, researchers extensively utilized SNPs as the main source of genetic variation. But now, the focus is on identification of CNVs associated with complex traits. With the recent advances and reduction in the cost of sequencing, arrays are developed for genotyping which cover the maximum number of SNPs at a time that can be used for detection of CNVRs and underlying quantitative trait loci (QTL) for the complex traits to accelerate genetic improvement. CNV studies are also being carried out to understand the evolutionary mechanism in the domestication of livestock and their adaptation to the different environmental conditions. The main aim of the study is to review the available data on CNV and its role in genetic variation among the livestock. [ABSTRACT FROM AUTHOR]
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- 2018
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8. MicroRNA: biogenesis and computational target identification: a review.
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Kumar, Amod, Muhasin Asaf, V. N., Srivastava, Kush, Rahim, Abdul, Chaudhary, J. K., and Panigrahi, Manjit
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MICRORNA , *ORIGIN of life , *NUCLEOTIDES , *GENES , *GENE expression - Abstract
MicroRNAs are a class of small, endogenously produced, 18 to 24 nucleotides long in length. These are non-coding RNAs that regulate the gene expression at post-transcriptional level. They play important roles in animals and plants by controlling regulatory mechanisms, and likely influencing the output of many protein-coding genes. They generally bind to 3' UTR region of the target sequence which then leads to alterations in the gene expression. They also bind to other regions like coding sequence and 5' UTR but these are less efficient sites of interaction compared to 3'UTR. This alteration in gene expression is either due to repression of translation or mRNA degradation whereby the RNA interference pathway is initiated to eliminate the targeted sequences. Now a days, various computational or bioinformatics databases, tools, and algorithms have been developed to identify the target genes which will be further biologically validated using various techniques like reporter gene assay, qRT-PCR, microarray etc. [ABSTRACT FROM AUTHOR]
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- 2013
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