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HomeResearch Members Dr Sanjukta Dasgupta

Dr Sanjukta Dasgupta

Assistant Professor

Dept. of Biotechnology

Brainware University

Dr. Sanjukta Dasgupta completed her Ph.D. from the Indian Institute of Technology Kharagpur. She has extensive experience in analyzing multi-omics data including metabolome, genome, and transcriptome sequencing across diverse sequencing platforms. She has experience in handling large datasets generated from high-throughput omics tools. She has used nuclear magnetic resonance (NMR) and mass spectrometry-based metabolomics platforms to highlight the biomarkers in serum, exhaled breath condensate, and bronchoalveolar lavage fluid of various life-threatening pulmonary diseases. Dr. Dasgupta has extensive experience in programming and statistical techniques required for data analysis and identification of disease biomarkers.

Journal Publications

  1. Dasgupta S. Thinking Beyond Disease Silos: Dysregulated Genes Common in Tuberculosis and Lung Cancer as Identified by Systems Biology and Machine Learning. OMICS: A Journal of Integrative Biology. 2024 Jun 10. https://doi.org/10.1089/omi.2024.0116
  2. Choudhury P, Dasgupta S, Bhattacharyya P, Roychowdhury S, Chaudhury K. Understanding pulmonary hypertension: the need for an integrative metabolomics and transcriptomics approach. Molecular Omics. 2024. https://doi.org/10.1039/D3MO00266G
  3. Choudhury P, Dasgupta S, Kar A, Sarkar S, Chakraborty P, Bhattacharyya P, Roychowdhury S, Chaudhury K. Bioinformatics analysis of hypoxia associated genes and inflammatory cytokine profiling in COPD-PH. Respir Med. 2024; 227:107658. doi: 10.1016/j.rmed.2024.107658.
  4. Dasgupta S, Das SS, Kar A, Choudhury P, Mitra I, Mukherjee G, Sarkar S, Chakraborty P, Dhar R, Chaudhury K. Corrigendum to “Transcriptome analysis for the screening of hub genes and potential drugs in hypersensitivity pneumonitis. Human Gene. 2023;DOI:10.1016/j.humgen.2023.201214.
  5. Dasgupta S, Das SS, Patidar S, Kajaria V, Chowdhury SR, Chaudhury K. Identification of common dysregulated genes in COVID-19 and Hypersensitivity pneumonitis: a systems biology and machine learning approach. Omics. 2023;27(5):205-214. doi: 10.1089/omi.2022.0171
  6. Dasgupta S, Subramani E, Mitra I, Bhattacharya A, Sherpa DD, Joshi M, Chakraborty P, Ray CD, Chaudhury K. Discovery of novel metabolic signatures for early identification of women at risk of developing gestational hypertension. Metabolomics. 2023;19(5):50. doi: 10.1007/s11306-023-02012-y.
  7. Dasgupta S, Ghosh N, Bhattacharyya P, Roy Chowdhury S, Chaudhury K. Metabolomics of asthma, COPD, and asthma-COPD overlap: an overview. Critical Reviews in Clinical Laboratory Sciences. 2023;60(2):153-170. doi: 10.1080/10408363.2022.2140329.
  8. Dasgupta S, Ghosh N, Choudhury P, Joshi M, Chowdhury SR, Bhattacharyya P, Chaudhury K. NMR metabolomic and microarray-based transcriptomic data integration identifies unique molecular signatures of hypersensitivity pneumonitis. Molecular Omics. 2022;18(2):101-111. doi: 10.1039/d1mo00209k. [Selected as cover artwork]
  9. Dasgupta S, Bhattachraya A, Rajwade D, Chowdhury SR, Chaudhury K. Risk factors associated with hypersensitivity pneumonitis: a meta-analysis. Expert Review of Respiratory Medicine. 2022;16(7):801-811. doi: 10.1080/17476348.2022.2100352. 2022
  10. Khan T#, Dasgupta S#, Ghosh N, Chaudhury K. Proteomics in idiopathic pulmonary fibrosis: the quest for biomarkers. Molecular Omics. 2021. 17, 43– 58. doi: 10.1039/d0mo00108b (#Joint 1st author)
  11. Singh A, Dasgupta S, Bhattacharya A, Mukherjee G, Chaudhury K. Therapeutic potential of curcumin in endometrial disorders: Current status and future perspectives. Drug discovery today. 2021. doi: 10.1016/j.drudis.2021.11.010
  12. Mukherjee S, Dasgupta S, Mishra PK, Chaudhury K. Air pollution-induced epigenetic changes: Disease development and a possible link with hypersensitivity pneumonitis. Environmental Science and Pollution Research. 2021; 28(40):55981-6002. doi: 10.1007/s11356-021-16056-x.
  13. Choudhury P, Bhattacharya A, Dasgupta S, Ghosh N, Sengupta S, Joshi M, Bhattacharyya P, Chaudhury K. Identification of novel metabolic signatures potentially involved in the pathogenesis of COPD associated pulmonary hypertension. Metabolomics. 2021; 17(10):1-3. doi: 10.1007/s11306-021-01845-9
  14. Bhattacharyya P, Dasgupta S, Paul M, Saha D, Sengupta S, Bhattacharyya PP. High- resolution computerized tomography changes in diffuse parenchymal lung disease from chronic hypersensitivity pneumonitis related to bird antigen. Lung India: Official Organ of Indian Chest Society. 2018;35(3):215. doi: 10.4103/lungindia.lungindia_293_17

Book chapter

  1. Dasgupta S, Bhattacharya A, Choudhury P, Ghosh N, Das T, Roychowdhury S, Dhar R, Chaudhury K. Metabolomics and Transcriptomic Approach to Understand the Pathophysiology of Interstitial Lung Disease. In Clinical Metabolomics Applications in Genetic Diseases 2023 Sep 30 (pp. 301- 326). Singapore: Springer Nature Singapore.

Conferences

  1. Dasgupta S. Identification of hub genes in interstitial lung disease and their association with lung cancer: an in-silico analysis. In2024 International Conference on Computer, Electrical & Communication Engineering (ICCECE) 2024 Feb 2 (pp. 1-8). IEEE. (Received best presentation award)
  2. Dasgupta S, Ghosh N, Choudhury P, Joshi M, Roychowdhury S, Bhattacharyya P, Chaudhury K. NMR metabolic profiling of bronchoalveolar lavage fluid to understand the pathogenesis of hypersensitivity pneumonitis. Oral presentation at 17th Annual Conference of Metabolomics Society, 22-24 June, 2021.
  3. Dasgupta S, Ghosh N, Joshi M, Roychowdhury S, Bhattacharyya P, Chaudhury K. Proton NMR metabolic profiling of exhaled breath condensates and serum to understand the pathogenesis of hypersensitivity pneumonitis. Poster presentation at 16th Annual Conference of Metabolomics Society, 27-29 October, 2020.
  4. Dasgupta S, Ghosh N, Joshi M, Roychowdhury S, Bhattacharyya P, Chaudhury K. 1H NMR metabolomic profiling of exhaled breath condensates to understand the pathogenesis of hypersensitivity pneumonitis. Oral presentation at 4th Regional Science & Technology Congress (Western region), The University of Burdwan, 9-10 December, 2019
  5. Bhattacharyya P, Dasgupta S, Sengupta S, Saha D, Dey D, Pal M. COPD: Comparison of bronchodilator responsiveness with glycopyrronium and salbutamol. Poster presentation at International Congress of the European Respiratory Society, Madrid, Spain, 28 Sept-01 Oct, 2019
  6. Mitra I, Dasgupta S, Chakraborty P, Sharma S, Kalapahar S, Chakravarty B, Chaudhury K. Identification of key genes associated with adenomyosis and endometriosis using bioinformatic analysis. Oral presentation at 9th Annual Conference of the Academy of Clinical Embryologists. 1st- 3rd October, 2021 (online)
  7. Mitra I, Dasgupta S, Chakraborty P, Sharma S, Kalapahar S, Chakravarty B, Chaudhury K. Identification of differentially expressed genes to differentiate adenomyosis from endometriosis: an integrated bioinformatics approach. Oral presentation at Yuva ISAR 2021 (Kolkata). 26th-28th November, 2021