Md. Iftehimul

This study uses transcriptomic analysis and machine learning to identify ecDNA-associated features linked to chemotherapy resistance in TNBC, finding ecDNA burden and prevalence as key predictors of drug resistance.

This study tracks T cell transcriptional changes in 4T1 tumors over time, revealing functional decline, reduced TCR diversity, and immunosuppressive shifts in the tumor microenvironment.

The paper evaluates the structural dynamics and interactions of LVDD9B protein with WSSV VP26 and identifies potential therapeutic compounds for antiviral therapy in aquaculture.

This study examines in vivo gene expression changes in triple-negative breast cancer cells over time, revealing early transcriptional shifts and significant molecular reprogramming linked to ecDNA alterations and immune evasion.