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राष्ट्रीय पशु जैव प्रौद्योगिकी संस्थान
National Institute of Animal Biotechnology
An Autonomous Institute of the Department of Biotechnology,
Ministry of Science and Technology, Government of India
राष्ट्रीय पशु जैव प्रौद्योगिकी संस्थान
National Institute of Animal Biotechnology
An Autonomous Institute of the Department of Biotechnology,
Ministry of Science and Technology, Government of India
Education:
Bachelors in Biology, 2002
Maharshi Dayanand Saraswati, Ajmer, Rajasthan, India
Masters in Bioinformatics, 2004
University of Allahabad, UP, India
Master 1st Level in Bioinformatics, 2006
University of Torino, Italy
International Doctorate in Structural Biology, 2010
Magnetic Resonance Centre, CERM, University of Florence (Recognized by the Universities of Frankfurt in Germany and Utrecht in Netherlands).
Interest: Investigation of structural, functional and dynamic properties of metalloproteins
Experience:
Scientist E (Bioinformatics), 2023- Present
DBT- National Institute of Animal Biotechnology (NIAB), Hyderabad, Telangana, India.
Scientist D (Bioinformatics), 2017-2022
DBT- National Institute of Animal Biotechnology (NIAB), Hyderabad, Telangana, India.
Project Scientist (Bioinformatics), 2012-16
National Agri-Food Biotechnology Institute (NABI), Department of Biotechnology, Mohali, Punjab, India
Post doctoral scientist, 2010-11
US-India joint research training program hosted by the Seattle Biomedical Research Institute at the University of Washington in USA and at the International Centre for Genetic Engineering and Biotechnology in New Delhi and it was funded by the Fogarty International Centre, NIH, USA.
Scholarships, Awards and Selections:
• Winner of “Science, Society Quiz Award 2004”, Post Graduate level, Awarded by Prof. G. K. Mehta, Hon. Vice Ch., University of Allahabad.
• Selected for research project training at the National High field NMR facility for the partial fulfilment of M. Sc degree at Tata Institute of Fundamental Research, Mumbai, India.
• Selected for Italian Government scholarship in Biotechnology for the year 2005-06 processed by the Ministry Human Recourse and Development of the Government of India.
• Selected in 10 week visit to Genomics lab of the National institute of Basic Biology in Japan.
• Selected in the “USA-INDIA joint research training program “as a postdoctoral scientist. Funded by the Fogarty International Centre of National institutes of Health, USA.
• Chaired a technical session and delivered invited lectures: International seminar cum training workshop on “Molecular modelling, proteinprotein interactions and computer aided drug design “, March 20-22, 2010.This workshop was held at IIDS, University of Allahabad.
Our group majorly focuses on Transcriptomics, Proteomics and Genomics, including application of data mining, application of bioinformatics tools, and structure-activity relationships. Currently we are working on various projects.
1. Transcriptomic analysis to identify key molecular players involved during host response to NDV challenge in different breeds and tissues of Gallus gallus.
Different breeds of Gallus gallus were known to be having differential resistance against Newcastle Disease Virus (NDV) infection. Differentially expressed genes which were thought to be involved in this pattern of resistance were already studied. Here we are analysing the transcriptomic data of various tissues of Gallus gallus for studying the lncRNAs involved in regulation of these genes. Functional annotation using co-expression analysis reveals the involvement of lncRNAs in the regulation of various pathways. Additionally, the role of lncRNAs as putative micro RNA precursors, and the interaction of differentially expressed Genes with transcription factors and micro RNAs will be identified.
2. Insights into lncRNA studies in early embryonic samples of livestock animals.
Investigation of molecular regulation of lncRNA in the sex determination of cattle. RNA-seq strategy is used to analyze the differentially expressed lncRNAs. Studies are focussing to find out the potential lncRNAs involved in the gonadal differentiation, their chromosomal localization, involvement in the regulatory pathways.
3. In-silico prediction of Animal susceptibility and Virtual screening of Natural Compounds against SARS-CoV-2: MDS.
Drug development by proposing a list of potential drug candidates by utilizing the available natural compound libraries and proteomics data. Virtual screening of natural compounds against the spike protein and 14 protein domain structures harboring in orf1ab to find the novel compounds against SARS-CoV-2. Molecular dynamics simulation of spike protein complexes with ACE2 receptors of 17 different hosts were performed to study the nature and stability of the complexes. RMSD, Ramachandran plot, H-bonds, Potential, Kinetic and total energies were estimated.
4. Whole genome sequencing and gene prediction of Tasar silkworm (Antheraea mylitta).
Tropical tasar silkworm, Antheraea mylitta is widespread and distributed in various geographical areas of India as ‘Ecoraces’. The cocoons of this insect have very high content of silk which is known to be the largest among all the other known non-mulberry silk producing insects. Here we assembled the Whole genome of Tasar silkworm by using various in-silico approaches. The whole genome sequence would be used as a reference sequence to analyse the genetic variation between the ecoraces. In addition, annotated genes information from the transcript sequence would be used to study the gene expression pattern and for induction and regulation of genes related to qualitative and quantitative characters to enhance the productivity of tasar silk.
2022
1. Jali I, Vanamamalai VK, Garg P, Navarrete P, Gutiérrez-Adán A, Sharma S. Identification and differential expression of long non-coding RNAs and their association with XIST gene during early embryonic developmental stages of Bos taurus. Int J Biol Macromol. 2022 Dec 24:S0141-8130(22)03132-4. doi: 10.1016/j.ijbiomac.2022.12.221. Epub ahead of print. PMID: 36572076. Impact factor 8.025; Corresponding author
2. Garg P, Vanamamalai VK, Jali I, Sharma S. In silico prediction of the animal susceptibility and virtual screening of natural compounds against SARS-CoV-2: Molecular dynamics simulation based analysis. Front Genet. 2022 Aug 30;13:906955. doi: 10.3389/fgene.2022.906955. PMID: 36110222; PMCID: PMC9468858. Impact factor 4.37; Corresponding author
3. Praharaj, M. R., Garg, P., Kesarwani, V., Topno, N. A., Khan, R., Sharma, S., Panigrahi, M., Mishra, B. P., Mishra, B., Kumar, G. S., Gandham, R. K., Singh, R. K., Majumdar, S., & Mohapatra, T. (2022). SARS-CoV-2 Spike Glycoprotein and ACE2 Interaction Reveals Modulation of Viral Entry in Wild and Domestic Animals. Frontiers in medicine, 8, 775572. https://doi.org/10.3389/fmed.2021.775572.
2021
4. Razazan A, Karunakar P, Mishra SP, Sharma S, Miller B, Jain S, Yadav H. Activation of Microbiota Sensing – Free Fatty Acid Receptor 2 Signaling Ameliorates Amyloid-β Induced Neurotoxicity by Modulating Proteolysis-Senescence Axis. Front Aging Neurosci. 2021 Oct 5;13:735933.
5. Vanamamalai VK, Garg P, Kolluri G, Gandham RK, Jali I, Sharma S. Transcriptomic analysis to infer key molecular players involved during host response to NDV challenge in Gallus gallus (Leghorn & Fayoumi). Sci Rep. 2021 Apr 19;11(1):8486. doi: 10.1038/s41598-021-88029-6. PMID: 33875770; PMCID: PMC8055681.
2020
6. Kushwaha SK, Kesarwani V, Choudhury S, Gandhi S, Sharma S. SARS-CoV-2 transcriptome analysis and molecular cataloguing of immunodominant epitopes for multi-epitope based vaccine design. Genomics. 2020 Nov;112(6):5044-5054. doi: 10.1016/j.ygeno.2020.09.019. Epub 2020 Sep 10. PMID: 32920121; PMCID: PMC7500163.
7. Karunakar, P., Mishra, S.P., Razazan, A.P., Sharma, S. and Yadav, H. (2020), Identification of potential agonist of human and mouse FFAR2 by homology modeling and molecular docking study approach. The FASEB Journal, 34: 1-1. doi:1096/fasebj.2020.34.s1.03551
8. Thakur V, Bains S, Pathania S, Sharma S, Kaur R, Singh K. Comparative transcriptomics reveals candidate transcription factors involved in costunolide biosynthesis in medicinal plant-Saussurea lappa. Int J Biol Macromol. 2020;150:52-67. doi:10.1016/j.ijbiomac.2020.01.312
2019
9. Sharma PK, Sharma V, Sharma S, Bhatia G, Singh K, Sharma R. Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil. J Genet Eng Biotechnol. 2019 Oct 14;17(1):6. doi: 10.1186/s43141-019-0006-3. PMID: 31659568; PMCID: PMC6821142.
10. Goyal N, Bhatia G, Sharma S, et al. Genome-wide characterization revealed role of NBS-LRR genes during powdery mildew infection in Vitis vinifera. Genomics. 2020;112(1):312-322. doi:10.1016/j.ygeno.2019.02.011
11. Bhatia G, Sharma S, Upadhyay SK, Singh K. Long Non-coding RNAs Coordinate Developmental Transitions and Other Key Biological Processes in Grapevine. Sci Rep. 2019;9(1):3552. Published 2019 Mar 5. doi:10.1038/s41598-019-38989-7
12. Garima Bhatia, Aman Singh, Deepika Verma, Shailesh Sharma, Kashmir Singh, Genome-wide investigation of regulatory roles of lncRNAs in response to heat and drought stress in Brassica juncea (Indian mustard), Environmental and Experimental Botany, Volume 171, 2020, 103922, ISSN 0098-8472, https://doi.org/10.1016/j.envexpbot.2019.103922.
2017
13. Angmo S, Tripathi N, Abbat S, et al. Identification of Guanosine 5′-diphosphate as Potential Iron Mobilizer: Preventing the Hepcidin-Ferroportin Interaction and Modulating the Interleukin-6/Stat-3 Pathway. Sci Rep. 2017;7:40097. Published 2017 Jan 5. doi:10.1038/srep40097
14. Shumayla, Sharma S, Taneja M, Tyagi S, Singh K, Upadhyay SK. Survey of High Throughput RNA-Seq Data Reveals Potential Roles for lncRNAs during Development and Stress Response in Bread Wheat. Front Plant Sci. 2017;8:1019. Published 2017 Jun 9. doi:10.3389/fpls.2017.01019
15. Bhatia G, Goyal N, Sharma S, Upadhyay SK, Singh K. Present Scenario of Long Non-Coding RNAs in Plants. Noncoding RNA. 2017;3(2):16. Published 2017 Mar 24. doi:10.3390/ncrna3020016
2016
16. Shumayla, Sharma S, Pandey AK, Singh K, Upadhyay SK. Molecular Characterization and Global Expression Analysis of Lectin Receptor Kinases in Bread Wheat (Triticum aestivum). PLoS One. 2016;11(4):e0153925. Published 2016 Apr 25. doi:10.1371/journal.pone.0153925
17. Taneja M, Tyagi S, Sharma S, Upadhyay SK. Ca2+/Cation Antiporters (CaCA): Identification, Characterization and Expression Profiling in Bread Wheat (Triticum aestivum ). Front Plant Sci. 2016;7:1775. Published 2016 Nov 28. doi:10.3389/fpls.2016.01775
18. Shumayla, Sharma S, Kumar R, Mendu V, Singh K, Upadhyay SK. Genomic Dissection and Expression Profiling Revealed Functional Divergence in Triticum aestivum Leucine Rich Repeat Receptor Like Kinases (TaLRRKs). Front Plant Sci. 2016;7:1374. Published 2016 Sep 22. doi:10.3389/fpls.2016.01374
2015
19. Assemblies of wheat EST sequences and annotation of Affymetrix consensus sequences of wheat transcriptome. American Journal of Bioinformatics Research.2015.2167-6976
2014
20. Upadhyay SK, Sharma S, Singh H, et al. Whitefly genome expression reveals host-symbiont interaction in amino acid biosynthesis. PLoS One. 2015;10(5):e0126751. Published 2015 May 22. doi:10.1371/journal.pone.0126751
21. Upadhyay SK, Sharma S. SSFinder: high throughput CRISPR-Cas target sites prediction tool. Biomed Res Int. 2014;2014:742482. doi:10.1155/2014/742482 (Equal Contribution).
2013
22. Upadhyay SK, Dixit S, Sharma S, et al. siRNA machinery in whitefly (Bemisia tabaci). PLoS One. 2013;8(12):e83692. Published 2013 Dec 31. doi:10.1371/journal.pone.0083692
2010
23. Sharma S, Cavallaro G, Rosato A. A systematic investigation of multiheme c-type cytochromes in prokaryotes. J Biol Inorg Chem. 2010;15(4):559-571. doi:10.1007/s00775-010-0623-4
2009
24. Sharma S, Rosato A. Role of the N-terminal tail of metal-transporting P(1B)-type ATPases from genome-wide analysis and molecular dynamics simulations. J Chem Inf Model. 2009;49(1):76-83. doi:10.1021/ci8002304 (Cover Page Article).
PhD Students:
Venkata Krishna Vanamamalai, SRF-CSIR
M.Sc. Biotechnology, Osmania University
Current Research Interest: Identification of key molecular players involved during host response to NDV challenge in different breeds and tissues of Gallus gallus
Itishree Jali, SRF-CSIR
MTech Bioinformatics, University of Hyderabad
Current Research Interest: Insights into lncRNA studies in early embryonic samples of livestock animals
Shivam Saini, CSIR-SRF
M.Sc. (Zoology), University of Delhi
Current Research Interest: Structure – function analyses of BEFV accessory proteins
Alumni:
Kopal singh, MSc Trainee
M. Sc Bioinformatics, Central University South Bihar
Satyaprakash Das, MSc Trainee
Msc Bioinformatics, Chandigarh University
Priyanka Garg, DBT-Project Associate-II
MSc (Bioinformatics), Panjab University
Working as SPA at CCMB- Hyderabad
M. Emmanuel Raj
M.Sc. Microbiology, Central University of Tamil Nadu
Ayushi Dwivedi
M.Sc. Bioinformatics, University of Allahabad.
Pursuing Ph.D. at University of Hyderabad
| Tiltle | Duration | Total Value | Other Institutes | Funding agency |
| Identification of key molecular players specially lncRNAs involved in response to NDV challenge in indigenous and exotic chicken breeds using RNA-seq analysis | One and Half year | Rs 58 lakhs | ICAR-CARI, Barely | DBT |
| Sequencing of whole genome of tasar silkworm, Antheraea mylitta. | Three Years | Rs. 99.74 Lakhs | CTR&TI | DBT |
| Targeting antimicrobial resistance by inhibiting diadenylate cyclase (DAC) – a bacterial second messenger biosynthetic enzyme to prevent biofilm formation and enhance antibiotic susceptibility. | Three Years | Rs 42 Lakhs | NIL | ICMR |
National Institute of Animal Biotechnology
Survey No. 37, Opp. Journalist Colony
Extended Q City Road, Near Gowlidoddy
Gachibowli, Hyderabad
Telangana – 500032
Email: shailesh.sharma[at]niab[dot]org[dot]in
Tel: +91-(0)40-2312-0119
Not available
Interested and motivated students who would like to explore job opportunities in our group as an independent PhD (Minimum Requirement: M.Sc. degree) and Postdoctoral Research Associate (Minimum Requirement: Ph. D. degree / Provisional Certificate on Ph. D. thesis submission). Please write an e-mail to shailesh.sharma[at]niab[dot]org[dot]in along with your CV and brief area of research interest.
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