Projects

A project here is a workstream, not a paper. Each one below is a question the centre has kept working on across several outputs — the papers it has produced are listed on its card, and the students who ran the analyses are named on it.

Current portfolio

What we are working on

Filter by group, lead or status. A project stays listed after it closes: the record of what was asked and what came of it is the point.

Active · Hit to lead

Phytochemical adjuvants for cisplatin-resistant ovarian cancer

Cisplatin resistance is a property of particular cell states inside a tumour, not of the tumour as a whole, so the work starts at single-cell resolution. Resistance-associated targets recovered from scRNA-seq anchor a network pharmacology screen of Withania somnifera phytochemicals, narrowed by docking and structural dynamics into compound–target hypotheses to be tested.

Group
Computational Biology
Lead
Musab Shahriar
Run
2025 – present
Team
Sheikh Naem Islam Abhi · Musab Shahriar · Lamia Hasan Joarder Barsha · Mst. Afsana Meme · Md. Jubayer Hossain
Data
Public ovarian cancer scRNA-seq cohorts, phytochemical and target databases
scRNA-seqNetwork pharmacologyMolecular dockingMolecular dynamics
Outputs

Active · Target validation

Single-cell signatures of hyperglycemia and probiotic response in Ob-T2D

Obesity-associated type 2 diabetes damages several organs at once, and which cells carry that damage is invisible to bulk transcriptomics. Public multi-organ scRNA-seq of hyperglycemic mouse liver and kidney is mined for cell-specific disease signatures, and the candidates are then tested in the collaborating laboratory's own Ob-T2D mice treated with Bacillus velezensis GV1, asking which of those signatures the probiotic actually reverses.

Group
Computational Biology
Lead
Prof. Yeon Ju Kim
Run
2026 - present
Team
Md. Jubayer Hossain · Md. Niaj Morshed · Abdus Samad · Md. Ripon Shikder · Sricharan Dhandapani
Collaborators
Kyung Hee University, South Korea
Data
GSE244475 multi-organ scRNA-seq of STZ-hyperglycemic mouse liver and kidney; in-house control, Ob-T2D and GV1-treated Ob-T2D mouse tissue
scRNA-seqCell-type annotationDifferential expressionPathway enrichmentqRT-PCR and Western blot validation

Active · Early discovery

Single-cell targets linking brain and peripheral immunity in Alzheimer's disease

Amyloid-beta pathology, microglial activation and systemic immune change are all documented in Alzheimer's disease, but not as one connected picture. Human single-cell data from AD brain and peripheral blood is analysed for cell-type-specific alterations in neurons, microglia, T cells and B cells, and for the genes and pathways shared between them. Prioritised candidates go to the collaborating laboratory for validation in amyloid-beta-treated SH-SY5Y cells and an AD mouse model, including response to HHT-AuNP and urolithin A treatment.

Group
Computational Biology
Lead
Prof. Yeon Ju Kim
Run
2026 - present
Team
Md. Jubayer Hossain · Abdus Samad
Collaborators
Kyung Hee University, South Korea · Prof. Ik-Hyun Cho
Data
Public human AD brain (hippocampus, superior frontal cortex) and PBMC scRNA-seq; amyloid-beta-treated SH-SY5Y cells and an AD mouse model
scRNA-seqLeiden clusteringMarker gene analysisGO and KEGG enrichmentCell-cell communicationIn vitro and in vivo validation

Active

Antimicrobial resistance surveillance in Bangladesh

Resistance is measured here on two fronts at once: what the isolates carry, and what the people prescribing and taking antibiotics know. Laboratory surveys of resistance genes in clinical pathogens run alongside cross-sectional studies of pharmacists, parents and students, so a resistance pattern can be read against the behaviour producing it.

Group
Public Health & Informatics
Lead
Md. Jubayer Hossain
Run
2022 – present
Team
Md. Wahidul Islam · Md. Shahjahan
Data
Hospital isolates, community pharmacy and household survey data
Cross-sectional surveyAntimicrobial susceptibility testingMolecular typingRegression modelling
Outputs

Active

Dengue epidemiology and control in Bangladesh

Dengue in Bangladesh is now an annual event rather than an outbreak, and the project treats it that way. Clinical and haematological profiling of hospitalised patients sits beside community-level work on prevention behaviour and a synthesis of national trends since 2000, to say where control effort actually changes the curve.

Group
Public Health & Informatics
Lead
Md. Jubayer Hossain
Run
2022 – present
Team
Mousumi Das · Md. Shahjahan
Data
Tertiary-care hospital records, community surveys in Dhaka, national surveillance reports
Clinical cohort analysisCross-sectional surveyNarrative synthesisTrend analysis
Outputs

Active · Early discovery

Pan-cancer biomarker discovery from public omics

A running programme that mines consortium data — TCGA, GEO, ICGC — for genes whose expression, methylation and immune context separate tumour from normal and predict outcome. Each cycle takes one gene or family across all available tumour cohorts, then follows the survivors into prognostic and immunological validation.

Group
Computational Biology
Lead
Md. Jubayer Hossain
Run
2023 – present
Team
Md. Zahid Ahmed · Fahmida Tasnim Jannat Fariha · Md. Wahidul Islam
Data
TCGA · GEO · ICGC · cBioPortal · UALCAN · GEPIA2
Differential expressionSurvival analysisMethylation analysisImmune infiltrationPathway enrichment
Outputs

Completed · Early discovery

Cross-study RNA-seq meta-analysis of stress response

Single RNA-seq studies are underpowered for anything conserved. This project re-processes public datasets through one uniform pipeline so expression can be compared across studies, and applies it to stress response in rainbow trout — a test of whether a conserved signature survives batch, lab and design differences.

Group
Computational Biology
Lead
Md. Jubayer Hossain
Run
2024 – 2025
Team
S. M. Bari · Md. Fuad
Data
Public RNA-seq datasets retrieved from SRA and GEO
RNA-seq meta-analysisNextflowBatch correctionDifferential expression
Outputs

Active

Thalassemia burden, quality of life and prevention

Bangladesh carries one of the heavier thalassemia burdens in the region with no compulsory screening in place. The project quantifies what the disease costs patients through validated quality-of-life instruments, measures what the population knows about carrier status, and argues the prevention case from that evidence.

Group
Public Health & Informatics
Lead
Md. Jubayer Hossain
Run
2022 – present
Team
Umme Rumman Munni · Mousumi Das
Data
Thalassemia treatment centre patients, university student cohorts
SF-36 quality of lifeCross-sectional surveyPolicy analysis
Outputs
No matching items
How a project starts

From question to workstream

Projects are not assigned. They begin when someone in the centre can state a question, name the data that would answer it, and commit to seeing it through to a submitted manuscript.

Step 01

Question

A specific, answerable question, with the reason it matters for health in Bangladesh written down before any analysis starts.

Step 02

Data and method

The datasets are identified and the analysis plan is agreed with a supervisor, so the method is fixed before the results are seen.

Step 03

Analysis

Students run the analysis themselves, in code that is reviewed and kept, under one-to-one supervision rather than delegation.

Step 04

Output

Manuscript, code release and, where useful, a reusable pipeline. The student who did the work takes first authorship.

Get involved

Join a project, or bring one

Students join existing workstreams and take a defined piece of the analysis. Collaborators with a dataset and a question can start a new one — we work in the open and publish jointly.

Join as a student Collaborate with us All publications