Institute of Bioinformatics

$Infractructure$

Jyoti Sharma, Ph.D.
Faculty Scientist

Institute of Bioinformatics
Discoverer Building, International Tech Park, Whitefield
Bangalore - 560 066
E-mail: jyoti at ibioinformatics dot org
Phone: +91-80-28416140 Fax: +91-80-28416132

Education

	Ph.D. in Bioinformatics, Manipal Academy of Higher Education (MAHE), Manipal, India
	M.Sc. in Bioinformatics, C.C.S. University Campus, Meerut, India
	B.Sc. in Biotechnology, Kurukshetra University, Kurukshetra, India

Positions Held

	Faculty Scientist, Institute of Bioinformatics, Bangalore, India, 2020-Present
	Research Scientist, Institute of Bioinformatics, Bangalore, India, 2015- 2020

Area of Specialization

	Computational Biology
	Systems Biology
	Signal Transduction

Recent Publications

Munjal, N. S., Dey, G., Parthasarathi, K.T.S., Chauhan, K., Pai, K., Patole M. S., Pawar, H. and Sharma, J. (2024). A proteogenomic approach for the identification of virulence factors in Leishmania parasites. Methods in Molecular Biology. In Press

Vasanthaiah, S., Verma, R., Kumar, A., Bandari, A.K., George, J., Rastogi, M., Manjunath, G.K., Sharma, J., Kumar, A., Subramani, J., Chawla, K., Pandey, A. (2024). Culture-free whole genome sequencing of Mycobacterium tuberculosis using ligand-mediated bead enrichment method. Open Forum Infectious Diseases. 11(7):ofae320. [PubMed]

Parthasarathi, K. T. S., Gaikwad, K.B., Rajesh, S., Rana, S., Pandey, A., Singh, H., Sharma, J. (2024). A machine learning-based strategy to elucidate the identification of antibiotic resistance in bacteria. Frontiers in Antibiotics. [Article]

Garapati, K., Jain, A., Madden, B.J., Mun, D.G., Sharma, J., Budhraja, R., Pandey, A. (2024). Defining albumin as a glycoprotein with multiple N-linked glycosylation sites. Journal of Translational Medicine. [PubMed]

Singh, S., Parthasarathi, K.T.S, Bhat, M. Y., Gopal, C., Sharma, J. and Pandey, A., Budhraja, R., Pandey, A. (2024). Profiling Kinase Activities for Precision Oncology in Diffuse Gastric Cancer. OMICS: A Journal of Integrative Biology. [PubMed]

Parthasarathi, K.T.S., Mandal, S., George, J.P., Gaikwad, K.B., Sasidharan, S., Gundimeda, S., Jolly, M.K., Pandey, A. and Sharma, J. (2023). Aberrations in ion channels interacting with lipid metabolism and epithelial mesenchymal transition in esophageal squamous cell carcinoma. Frontiers in Molecular Biosciences. [PubMed]

Munjal, N. S., Sapra, D., Parthasarathi, K. T. S., Goyal, A., Pandey, A., Banerjee, M. and Sharma, J. (2022). Deciphering the Interactions of SARS-CoV-2 Proteins with Human Ion Channels Using Machine-Learning-Based Methods. Pathogens. 11(2), 259. [PubMed]

Parthasarathi, K. T. S., Mandal, S., Singh, S., Gundimeda, S., Jolly, M. K., Pandey, A. and Sharma, J. (2022). In Silico Analysis of Ion Channels and Their Correlation with Epithelial to Mesenchymal Transition in Breast Cancer. Cancers. 14(6), 1444. [PubMed]

Singh, S., Bhat, M. Y., Sathe, G., Gopal, C., Sharma, J., Madugundu, A. K., Joshi, N. S. and Pandey, A. (2021). Proteomic Signatures of Diffuse and Intestinal Subtypes of Gastric Cancer. Cancers. 13(23), 5930. [PubMed]

Parthasarathi, K. T. S., Munjal, N. S., Dey, G., Kumar, A., Pandey, A., Balakrishnan, L. and Sharma, J. (2021) A pathway map of signaling events triggered upon SARS-CoV infection. Journal of Cell Communication and Signaling. [PubMed]

Sharma, J., Balakrishnan, L., Kaushik, S., and Kashyap, M. K. (2020). Multi-Omics Approaches to Study Signaling Pathways. Frontiers in Bioengineering and Biotechnology 8, 829.[PubMed]

Deb, B., George, I. A., Sharma, J., and Kumar, P. (2020). Phosphoproteomics Profiling to Identify Altered Signaling Pathways and Kinase-Targeted Cancer Therapies. Methods in Molecular Biology. Clifton, N.J. 2051: 241-264.[PubMed]

Antil, M., Sharma, J., Brissonnet, Y., Choudhary, M., Gouin, S., and Gupta, V. (2019). Structure-function insights into elusive Mycobacterium tuberculosis protein Rv1916.International Journal of Biological Macromolecules. 141: 927-936.[PubMed]

Sharma, J., Deb, B., George, I. A., Kapil, S., Coral, K., Kakkar, N., Pattanaik, S., Mandal, A. K., Mavuduru, R. S., and Kumar, P. (2019). Somatic mutations profile of a young patient with metastatic urothelial carcinoma reveals mutations in genes involved in ion channels. Frontiers in Oncology. 9, 435.[PubMed]

Sharma, J., Gondkar, K., Deb, B. and Kumar, P. (2018). Targeting gene fusion events in bladder carcinoma.Journal of Molecular and Genetic Medicine. 12, 361.[Article]

Madugundu, A. K., Muthusamy, B., Sreenivasamurthy, S. K., Bhavani, C., Sharma, J., Kumar, B., Murthy, K. R., Ravikumar, R. and Pandey, A. (2018). A next generation sequencing-based molecular approach to characterize a tick vector in Lyme disease. OMICS: A Journal of Integrative Biology. 22, 565-574.[PubMed]

Sharma, J., Deb, B. and Kumar, P. (2018). Developments in the area of bladder cancer genomics and its importance in the treatment selection. Journal of Molecular Oncology Research. 2, 58-62.[Article]

Verma, R., Pinto, S., Patil, A. H., Advani, J., Subba, P., Kumar, M., Sharma, J., Dey, G., Ravikumar, R., Buggi, S., Satishchandra, P., Sharma, K., Suar, M. T., Srikanth, C., Singh, D., Gowda, H., Pandey, A., Gandotra, S. and Prasad, T. S. K. (2017). Quantitative proteomic and phosphoproteomic analysis of H37Ra and H37Rv strains of Mycobacterium tuberculosis. Journal of Proteome Research. 16, 1632-1645. [PubMed]

Sharma, J., Balakrishnan, L., Datta, K. K., Sahasrabuddhe, N. A., Khan A. A., Sahu, A., Singhal, A., Derese, G., Raju, R., Chatterjee, A., Gowda, H., Prasad, T. S. K., Shankar, S. and Pandey, A. (2015). A knowledgebase resource for Interleukin-17 family mediated signaling. Journal of Cell Communication and Signaling. 9, 291-296. [PubMed]

Zhong, J., Sharma, J., Raju, R., Palapetta, S. M., Prasad, T. S. K., Huang, T. C., Yoda, A., Tyner, J. W., van Bodegom, D., Weinstock, D. M., Ziegler, S. F. and Pandey, A. (2014). TSLP signaling pathway map: A platform for analysis of TSLP mediated signaling. Database. bau007. [PubMed]

Research Support

	Title of Project	Funding Agency	Role
1	Identifying key pathways driving esophageal squamous cell carcinoma using transcriptome sequencing and proteomic data	Department of Biotechnology, Government of India	PI
2	Development of computational framework for COVID-19 multi-omics data analysis.	Indian Council of Medical Research, Government of India	PI
3	Reverse pharmacology and multi-target approach for designing of novel therapeutics and candidates for COVID-19.	Indian Council of Medical Research, Government of India	Co-PI
4	Elucidating the diversity across microorganisms using machine learning-based techniques.	Indian Council of Medical Research, Government of India	PI