Dr. Sajib Chakraborty
Associate Professor, Department of Biochemistry and Molecular Biology,
University of Dhaka
sajib@du.ac.bd
Member since 2020

Short Biography

As an early career researcher, my vision revolves around developing a distinct niche to guide my research trajectory towards becoming a future leader in field of Computational Biology and multi-omics driven Systems Cell-Signaling. I persued my MSc thesis at Imperial College London in 2010. At Imperial, I worked on the global proteome alteration between young and aged fibroblast cells by using the quantitative SILAC technique.

I started my Ph.D. at at the German Cancer Research Center (DKFZ), Heidelberg in 2012 where I was involved in a diverse set of projects involving LC-MS/MS, microarray, and RNA-seq as the central techniques to generate quantitative data. One of my major contributions was to develop a quantitative proteomics pipeline called “time-collapsed Super-SILAC” to quantify proteome dynamically. My Ph.D. project reports on the fundamental mechanisms by which cells decide their fates in response to external stimuli through proteome adaptations (Accepted in Cell Reprots, 2022). In another project, I analyzed the proteome changes in hematopoietic cells from the murine and human bone marrow (Mol Syst Biol. 2017) and murine liver cell-lines (PLoS Pathog. 2020). After finishing my Ph.D., I joined as a research associate at the University of Dhaka, Bangladesh, and established a strong collaboration with Dr. Geoffroy Andrieux at the Institute of Medical Bioinformatics and Systems Medicine, University of Freiburg, Germany.

Selected Publications

  1. Chakraborty S, Alam S, Sayem M, Sanyal M, Das T, Saha P, et al. Investigation of the efficacy and safety of eltrombopag to correct thrombocytopenia in moderate to severe dengue patients – a phase II randomized controlled clinical trial. Lancet-EClinicalMedicine. 2020;29-30:100624.
  2. Andrieux G, Chakraborty S. (Co-contributing first author), Das T, Boerries M. Alteration of proteotranscriptomic landscape reveals the transcriptional regulatory circuits controlling key-signaling pathways and metabolic reprogramming during tumor evolution Front Cell Dev Biol. 2020.
  3. Chakraborty S, Andrieux G, Hasan AMM, Ahmed M, Hosen MI, Rahman T, et al. Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers. Scientific reports. 2019;9(1):12322.
  4. Chakraborty S, von Mentzer A, Begum YA, Manzur M, Hasan M, Ghosh AN, et al. Phenotypic and genomic analyses of bacteriophages targeting environmental and clinical CS3-expressing enterotoxigenic Escherichia coli (ETEC) strains. PloS one. 2018;13(12):e0209357.

Chakraborty S, Islam MR, Ali MM, Nabi A. Evolutionary Divergence of Brain-specific Precursor miRNAs Drives Efficient Processing and Production of Mature miRNAs in Human. Neuroscience. 2018;392:141-59.