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RESEARCH AREA

Our lab is working on rare genetic diseases (RGD) specifically the myopathies. The long-term goal of our lab is to understand the genetic and molecular basis of RGD, identify novel therapeutic targets, and contribute to find and develop innovative treatments for patients affected with these debilitating conditions, using computational, multi-omics and machine learning approaches.

Potential students, pursuing or completed masters in subjects Bioinformatics or Computational Sciences with proficiency in coding languages like Python, R, and Perl, along with a keen understanding of machine learning algorithms can enquire for internship/project positions by sending their one-page CV along with one page proposal to devinderkaur@mail.jnu.ac.in.

TEACHING

MSc- Courses

LS 430 A: Computational Biology & Bioinformatics

LS 451 A: Biostatistics

LS431 A: Life Science practical -II

LS453 A: Life Science practical -III

Ph.D. courses:

LS 601A Research Methodology-I

LAB MEMBERS

M.Sc. THESIS SUPERVISION

(Name, year passing out)

Priyanshi Ranjan (Ongoing)

Ayushi (2024)

Reshmi R (2024)

Upasana (2022)

Ayushi Pareek (2022)

Manas Madhukar (2022)

Anamika Shukla (2022)

Divyangana Bathla (2021)

Sonam Suhashini (2021)

Shubham Singh (2021)

Nidhi Dubey (2021)

Rajlaxmi Das (2021)

Ramya Sweety (2021)

Poulami Goswami (2020)

Duleswar Singh (2020)

Deepak Kumar (2020)

Sneha Bhat (2020)

INTERNSHIP

Sunny Kumar Chaudhary (2023)

Vikas Sheshnath Yadav (2023)

Kushal (2023)

Khushi (2024)

PUBLICATIONS

Kaur D, Singh SS, Sharma S, Bhattacharya S. Role of EhLINE1_ORF1p outside retrotransposition: down-regulation causes growth defect in Entamoeba histolytica. J Biosci. 2024;49.
Singh SS, Mansuri MS, Naiyer S, Kaur D, Agrahari M, Srinivasan S, Jhingan GD, Bhattacharya A, Bhattacharya S. Multi-omics analysis to characterize molecular adaptation of Entamoeba histolytica during serum stress. Proteomics. 2022 Sep 6:e2200148. doi: 10.1002/pmic.202200148. Epub ahead of print.
Naiyer, S., Singh, S. S., Kaur, D., Mukherjee, A., Singh, Y. P., Bhattacharya, A., & Bhattacharya, S. (2022). Transcriptomic analysis of ribosome biogenesis and pre-rRNA processing during growth stress in Entamoeba histolytica. Experimental parasitology, 108308. Advance online publication. https://doi.org/10.1016/j.exppara.2022.108308
Kaur, D., Agrahari, M., Bhattacharya, A., Bhattacharya, S. The non-LTR retrotransposons of Entamoeba histolytica: genomic organization and biology. Mol Genet Genomics 297, 1– 18 (2022). https://doi.org/10.1007/s00438-021-01843-5.
Kaur, D., Agrahari, M., Singh, S. S., Mandal, P. K., Bhattacharya, A., & Bhattacharya, S. (2021). Transcriptomic analysis of Entamoeba histolytica reveals domain-specific sense strand expression of LINE-encoded ORFs with massive antisense expression of RT domain. Plasmid, 114, 102560. https://doi.org/10.1016/j.plasmid.2021.102560
Naiyer S*, Kaur D*, Ahamad J, Singh SS, Singh YP, Thakur V, Bhattacharya A, Bhattacharya S. Transcriptomic analysis reveals novel downstream regulatory motifs and highly transcribed virulence factor genes of Entamoeba histolytica. BMC Genomics. 2019 Mar 12;20(1):206. doi: 10.1186/s12864-019-5570-z (* Both Ist author)
Mridula Agrahari, Devinder Kaur and Sudha Bhattacharya. Sense and antisense transcripts originate in distinct patterns in the Entamoeba histolytica retrotransposon EhLINE1 and correlate with translation of its ORFs. Cell Biology Newsletter. 36:2, Dec 2017
Srivastava A, Ahamad J, Ray AK, Kaur D, Bhattacharya A, Bhattacharya S. Analysis of U3 snoRNA and small subunit processome components in the parasitic protist Entamoeba histolytica. Mol BiochemParasitol. 2014 Feb;193(2):82-92. doi: 10.1016/j.molbiopara.2014.03.001. Epub 2014 Mar 12.
Kaur D, Gupta AK, Kumari V, Sharma R, Bhattacharya A, Bhattacharya S. Computational prediction and validation of C/D, H/ACA and Eh_U3 snoRNAs of Entamoeba histolytica. BMC Genomics. 2012;13:390. Published 2012 Aug 14. doi:10.1186/1471-2164-13-390