Publications
Google Scholar : scholar.google.com/citations?hl=en&user=RLQL12EAAAAJ
ResearchGate : www.researchgate.net/profile/Gulnaz-Tabassum
Research Articles
Tabassum, G., Singh, P., Gurung, R. et al. (2023). Investigating the role of Kinesin family in lung adenocarcinoma via integrated bioinformatics approach. Scientific Reports, 13, 9859.
Mushtaq, A., Singh, P., Tabassum, G., Mohammad, T., Hassan, M. I., Syed, M. A., & Dohare, R. (2022). Unravelling hub genes as potential therapeutic targets in lung cancer using integrated transcriptomic meta-analysis and in silico approach. Journal of Biomolecular Structure and Dynamics, 1-14.
Arora, S., Singh, P., Tabassum, G., Dohare, R., & Syed, M. A. (2022). miR-495–3p regulates sphingolipid metabolic reprogramming to induce Sphk1/ceramide mediated mitophagy and apoptosis in NSCLC. Free Radical Biology and Medicine, 189, 71-84.
Arora, S., Singh, P., Tabassum, G., Dohare, R., & Syed, M. A. (2022). miR-16-5p regulates aerobic glycolysis and tumorigenesis of NSCLC cells via LDH-A/lactate/NF-κB signaling. Life Sciences, 304, 120722.
Review Articles
Arora, S., Khan, S., Zaki, A., Tabassum, G., Mohsin, M., Bhutto, H. N., Ahmad, T., Fatma, T., Syed, M. A. (2022). Integration of chemokine signaling with non-coding RNAs in tumor microenvironment and heterogeneity in different cancers. Seminars in Cancer Biology, 86(2), 720-736
Mohsin, M*., Tabassum, G*., Ahmad, S., Ali, S., & Syed, M. A. (2021). The role of mitophagy in pulmonary sepsis. Mitochondrion, 59, 63-75. (* Equal Contribution)
Book Chapter
Sharma, A., Zaki, A., Tabassum, G., Khan, S., Mohsin, M., & Ali, S. M. (2022). Role of Mitochondrial Oxidative Stress in Pathophysiology of Lung Cancer. In Free Radical Biology and Environmental Toxicity (pp. 171-189). Cham: Springer International Publishing.
Tabassum,G., Kumar,A., et,al. (2024). A comprehensive review on agricultural derived Phytochemicals as potent therapeutic molecules in cancer treatment. Springer Nature. ( Accepted)
Articles under review
Tabassum,G., Singh,P., Ali, S. M., et,al. (2024). Unveiling prognostic potential of metabolic genes, miRNA and TF in LUAD progression via multiomics & network-based approach.” (Under Review)