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Saproo S, Sarkar SS, Gautam V, Konyak CW, Dass G, Karmakar A, Sharma M, Ahuja G, Gupta A, Tayal J, Mehta A, Naidu S. Salivary protein kinase C alpha and novel microRNAs as diagnostic and therapeutic resistance markers for oral squamous cell carcinoma in Indian cohorts. Front Mol Biosci 2023; 9:1106963. [PMID: 36703917 PMCID: PMC9871261 DOI: 10.3389/fmolb.2022.1106963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 12/28/2022] [Indexed: 01/12/2023] Open
Abstract
Oral squamous cell carcinoma (OSCC) is the second leading cause of cancer-related morbidity and mortality in India. Tobacco, alcohol, poor oral hygiene, and socio-economic factors remain causative for this high prevalence. Identification of non-invasive diagnostic markers tailored for Indian population can facilitate mass screening to reduce overall disease burden. Saliva offers non-invasive sampling and hosts a plethora of markers for OSCC diagnosis. Here, to capture the OSCC-specific salivary RNA markers suitable for Indian population, we performed RNA-sequencing of saliva from OSCC patients (n = 9) and normal controls (n = 5). Differential gene expression analysis detected an array of salivary RNAs including mRNAs, long non-coding RNAs, transfer-RNAs, and microRNAs specific to OSCC. Computational analysis and functional predictions identified protein kinase c alpha (PRKCA), miR-6087, miR-449b-5p, miR-3656, miR-326, miR-146b-5p, and miR-497-5p as potential salivary indicators of OSCC. Notably, higher expression of PRKCA, miR-6087 and miR-449b-5p were found to be associated with therapeutic resistance and poor survival, indicating their prognostic potential. In addition, sequencing reads that did not map to the human genome, showed alignments with microbial reference genomes. Metagenomic and statistical analysis of these microbial reads revealed a remarkable microbial dysbiosis between OSCC patients and normal controls. Moreover, the differentially abundant microbial taxa showed a significant association with tumor promoting pathways including inflammation and oxidative stress. Summarily, we provide an integrated landscape of OSCC-specific salivary RNAs relevant to Indian population which can be instrumental in devising non-invasive diagnostics for OSCC.
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Affiliation(s)
- Sheetanshu Saproo
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Shashanka S. Sarkar
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Vishakha Gautam
- Department of Computational Biology, Indraprastha Institute of Information Technology- Delhi (IIIT-Delhi), New Delhi, India
| | - Chingmei W. Konyak
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Gouri Dass
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Arpita Karmakar
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Mansi Sharma
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Gaurav Ahuja
- Department of Computational Biology, Indraprastha Institute of Information Technology- Delhi (IIIT-Delhi), New Delhi, India
| | - Anand Gupta
- Department of Dentistry, Government Medical College and Hospital, Chandigarh, India
| | - Juhi Tayal
- Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Anurag Mehta
- Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Srivatsava Naidu
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India,*Correspondence: Srivatsava Naidu,
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Dige M, Rout P, Singh M, Dass G, Kaushik R, Gowane G. Estimation of co (variance) components and genetic parameters for growth and feed efficiency traits in Jamunapari goat. Small Rumin Res 2021. [DOI: 10.1016/j.smallrumres.2021.106317] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Rout PK, Matika O, Kaushik R, Dige MS, Dass G, Singh MK, Bhusan S. Genetic analysis of growth parameters and survival potential of Jamunapari goats in semiarid tropics. Small Rumin Res 2018; 165:124-130. [PMID: 30078954 PMCID: PMC6054051 DOI: 10.1016/j.smallrumres.2018.04.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The estimates of heritability for body weight from birth to 12 months age ranged from 0.10 to 0.43. The estimates of heritability for average daily gain (ADG) during various growth phase varied from 0.04 to 0.41. The heritability estimates of survival potential for post-weaning period to 12 months of age varied from 0.18 to 0.39. The genetic trend of body growth traits at 9 months of age and 12 months of age was positive.
Goats are adaptable to varied farming environments and contribute significantly towards sustainable livestock production and food security. Selective breeding of goats for improved performance is an important component of sustainable production. The objectives of the present study were to determine the most appropriate models of analysis for growth traits, to estimate genetic parameters, survival potential of kids from birth to 12 months of age and to estimate genetic trends for growth traits of Jamunapari kids at different ages. Genetic parameter estimates were obtained from 6590 records generated between 1982 and 2012 from 5922 animals with a pedigree covering over 13 generations. The most parsimonious model for early growth traits included permanent environmental effects due to the dam (PE) and litter effects. Similarly, the most appropriate model for early average daily gain (ADG) between birth and 3 or 6 months also included PE and litter effects. The estimates of heritability for survival from birth to 12 months of age ranged from 0.10 to 0.43. The estimates of heritability for ADG varied from 0.04 to 0.41. In general, higher estimates of heritability were observed when a sire model was fitted in the random effect. There was no genetic variation observed for survival between birth and 3 months of age. However, heritability estimates of between 0.18 and 0.39 were observed for survivability during post-weaning period to 12 months of age. The genetic trend at 9 months of age and 12 months of age was 0.144 kg 0.189 kg per year respectively. The genetic trend at all the ages was positive during the study period.
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Affiliation(s)
- P K Rout
- Genetics and Breeding Division, ICAR-Central Institute for Research on Goats Makhdoom, Farah, Mathura 281122 Uttar Pradesh, India
| | - O Matika
- Genetics and Genomics Division, The Roslin Institute and R (D) SVS, University of Edinburgh, UK
| | - R Kaushik
- Genetics and Breeding Division, ICAR-Central Institute for Research on Goats Makhdoom, Farah, Mathura 281122 Uttar Pradesh, India
| | - M S Dige
- Genetics and Breeding Division, ICAR-Central Institute for Research on Goats Makhdoom, Farah, Mathura 281122 Uttar Pradesh, India
| | - G Dass
- Genetics and Breeding Division, ICAR-Central Institute for Research on Goats Makhdoom, Farah, Mathura 281122 Uttar Pradesh, India
| | - M K Singh
- Genetics and Breeding Division, ICAR-Central Institute for Research on Goats Makhdoom, Farah, Mathura 281122 Uttar Pradesh, India
| | - S Bhusan
- Genetics and Breeding Division, ICAR-Central Institute for Research on Goats Makhdoom, Farah, Mathura 281122 Uttar Pradesh, India.,Genetics and Genomics Division, The Roslin Institute and R (D) SVS, University of Edinburgh, UK
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Rout PK, Matika O, Kaushik R, Dige MS, Dass G, Singh SK. Estimation of genetic parameters and genetic trends for milk yield traits in Jamunapari goats in semiarid tropics. Small Rumin Res 2017; 153:62-65. [PMID: 28839347 PMCID: PMC5555442 DOI: 10.1016/j.smallrumres.2017.05.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The heritability for milk yield traits were moderate to high. The repeatability estimates were moderate to high for milk yield traits. The genetic trends for milk yield traits were positive. Phenotypic trends for MY90, MY140 and TMY were positive.
The Jamunapari goats are reared as dairy animals in semi-arid conditions, therefore it is necessary to evaluate the genetic potential for the genetic improvement of milk production traits. The data comprised of 2217 phenotypic records for milk yield at 90 days (MY90) and 140 days (MY140), total milk yield (TMY) and lactation length (LL) obtained from the progeny of 173 sires and 446 dams during the period 1990–2013. The data were analysed using mixed linear models exploring random effects due to direct additive, maternal and permanent environment variance due to animal. The most appropriate genetic models for milk yield traits were those that included permanent environment effects due to the animal. The direct additive heritability estimates were 0.15 ± 0.05, 0.26 ± 0.07, 0.25 ± 0.08 for MY90, MY140 and TMY, respectively. The additive heritability estimate for LL was low and non-significant at 0.02 ± 0.03. The repeatability estimates were moderate to high ranging from 0.68 to 0.73 for milk yield traits. The repeatability for lactation length was 0.20 ± 0.03. Maternal variances were low ranging from 0.03 for MY90 to 0.13 for TMY. There was an increase in mean milk yield of 0.25, 0.70 and 0.72 kg/year respectively at 90 and 140 days, and for TMY. Genetic trends and phenotypic trends for MY90, MY140 and TMY were positive and indicated significant improvement in milk traits due to selective breeding.
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Affiliation(s)
- P K Rout
- Genetics and Breeding Division, ICAR- Central Institute for Research on Goats, Makhdoom, Farah, Mathura, 281122, Uttar Pradesh, India
| | - O Matika
- Genetics and Genomics Division, The Roslin Institute and R (D) SVS, University of Edinburgh, UK
| | - R Kaushik
- Genetics and Breeding Division, ICAR- Central Institute for Research on Goats, Makhdoom, Farah, Mathura, 281122, Uttar Pradesh, India
| | - M S Dige
- Genetics and Breeding Division, ICAR- Central Institute for Research on Goats, Makhdoom, Farah, Mathura, 281122, Uttar Pradesh, India
| | - G Dass
- Genetics and Breeding Division, ICAR- Central Institute for Research on Goats, Makhdoom, Farah, Mathura, 281122, Uttar Pradesh, India
| | - S K Singh
- Genetics and Breeding Division, ICAR- Central Institute for Research on Goats, Makhdoom, Farah, Mathura, 281122, Uttar Pradesh, India
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Abstract
Abstract
The speeds of sound has been obtained at a frequency of 4 MHz in diethylene glycol dimethyl ether + methanol, + ethanol, + 1-butanol, and + 1-pentanol across the entire composition range, at the temperature 298.15 K and atmospheric pressure using a NUSONIC velocimeter based on the sing-around technique. The ultrasonic speed values have been combined with those of the excess molar volumes converted to densities to obtain estimates of the product KS,m of the molar volumes and isentropic compressibility κS, and excess quantity KE
S,m. The KE
S,m values are negative over the entire range of composition for all mixtures with the exception of 1-pentanol, which changes sign from positive to negative. The magnitude of KE
S,m increase with the number of carbon atoms in the n-alcohol. The deviations of the speeds of sound uD from their ideal values uid in an ideal mixture were also calculated for all measured mole fractions. The behaviour of u, uD, and KE
S,m with composition and the number of carbon atoms in the alcohol molecule is discussed.
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Abstract
The speeds of sound
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