Dissertation Students
Argha Dutta
Argha studied macrophage polarization in the tumor microenvironment of oral squamous cell carcinoma (OSCC). His work explored the balance between pro- and anti-inflammatory macrophage states and their role in shaping tumor progression and immune responses.
Subhashree Sahu
Subhashree utilized the single-cell RNA sequencing dataset to map the prevalence and functional properties of double-negative T (DNT) cells in oral cancer. Through comprehensive bioinformatic analysis, including DGE and gene network mapping, she identified sub-populations with distinct inflammatory and regulatory pathways, which helped to understand DNT cells as a unique immunotherapeutic avenue for treating OSCC-GB.
Ahana Chakraborty
Ahana has quantified the DNA methylation level of a specific CpG site in the promoter region of the NPAS2 gene using a cross-platform validation technique (Bisulfite Amplicon Sequencing (BSAS). The purpose of studying this gene was to investigate whether disruption in the circadian rhythm contributes to preterm birth.
Soham Maiti
Soham has received hands-on training on Whole Genome Sequencing based on the principle of the SBS (Sequencing By Synthesis) technique, which included handling and analysing whole genome sequence data for sequence alignment, variant calling and biologically interpreting the results.
Dibyanshu Pratihari
Dibyanshu performed a meta-analysis on published GWAS datasets, followed by the identification of CD4+ T cell-specific eQTLs of peripheral blood and colocalization of GWAS-eQTL signals associated with COVID-19 disease severity. He identified several candidate eQTL genes differentially expressed specific to CD4+ T cells between individuals with a risk genotype of COVID-19 severity.
Abhishek Kumar
Abhishek looked at how maternal genetic variants influence spontaneous preterm birth using GWAS analysis in the GARBH-INi cohort. He identified several genetic variants and mapped genes that are associated with an increased risk of preterm birth.
Subhranil Saha
Subhranil analysed the single-cell RNA sequencing (scRNA-seq) dataset of third-trimester human placental tissue to characterize different trophoblast subtypes and their cell states. He also identified gene expression programs and transcriptomic signatures that aid in placental development and are differentially expressed across trophoblast cell states. He also utilized the placental spatial transcriptomics dataset to infer the spatial location of these cell states and proximity with respect to other placental cell types/states.
Shrabanti Acharya
Shrabanti identified differential transcriptomic signatures of the human placenta between two distinct gestational age groups using RNA sequencing to understand the molecular mechanisms underlying placental development.
Sandeep Kumar
Sandeep utilized analysing the bulk RNA sequencing dataset of human brain and identified transcriptomic signatures in terms of differentially expressed genes and biological processes across three regions of post-mortem human brain - prefrontal cortex, hippocampus and cerebellum.
_edited.jpg)
Ayush Kumar Kori
Ayush investigated structural and functional differences between fibronectin isoforms FN1 and FN1-208 in trophoblast cell adhesion. He analyzed isoform-specific integrin-binding properties to understand their role in cell–matrix interactions and how these differences may contribute to placental dysfunction associated with preterm birth.
Fahmitha Nazreen
Fahmitha performed integrative analysis of single-cell RNA-seq and single-cell ATAC-seq data to characterize cell-type–specific regulatory landscapes in the healthy peripheral blood immune system. She also identified key regulatory elements and candidate transcription factors.
Sukanya Basu Mullick
Sukanya focused on characterizing trophoblast cell heterogeneity during human placental development using single-cell RNA sequencing (scRNA-seq). The study revealed temporal shifts in gene expression and pathway activity associated with immune regulation, invasion, and hormone production, providing insights into placental function and development.
Ajay Jaideep Malik
Ajay focused on quantifying the telomere length of patient-derived gastric adenoma tumor tissues and comparing them to non-malignant matched blood samples in order to find if there are changes in telomere length in cancer.
Krishnendu Mondal
Krishnendu has received hands-on training on different fundamental molecular biology approaches, including RNA isolation, cDNA preparation (RT-PCR), quantitative real-time PCR (qPCR), protein estimation, SDS-PAGE, native PAGE, western blot, and electrophoretic mobility shift assay (EMSA). He has also been exposed to the training of good cell culture practices of immune cells, siRNA transfection, cell subculturing/passaging, and cell lysis.