Skip to main content

and
  1. No Access

    Article

    Machine-learning techniques for the prediction of protein–protein interactions

    Protein–protein interactions (PPIs) are important for the study of protein functions and pathways involved in different biological processes, as well as for understanding the cause and progression of diseases....

    Debasree Sarkar, Sudipto Saha in Journal of Biosciences (2019)

  2. Article

    Open Access

    Single cell transcriptomic landscape of diabetic foot ulcers

    Diabetic foot ulceration (DFU) is a devastating complication of diabetes whose pathogenesis remains incompletely understood. Here, we profile 174,962 single cells from the foot, forearm, and peripheral blood m...

    Georgios Theocharidis, Beena E. Thomas, Debasree Sarkar in Nature Communications (2022)

  3. Article

    Open Access

    Pediatric T-cell acute lymphoblastic leukemia blast signature and MRD associated immune environment changes defined by single cell transcriptomics analysis

    Different driver mutations and/or chromosomal aberrations and dysregulated signaling interactions between leukemia cells and the immune microenvironment have been implicated in the development of T-cell acute ...

    Swati S. Bhasin, Beena E. Thomas, Ryan J. Summers, Debasree Sarkar in Scientific Reports (2023)

  4. Article

    Open Access

    Single-cell analysis reveals altered tumor microenvironments of relapse- and remission-associated pediatric acute myeloid leukemia

    Acute myeloid leukemia (AML) microenvironment exhibits cellular and molecular differences among various subtypes. Here, we utilize single-cell RNA sequencing (scRNA-seq) to analyze pediatric AML bone marrow (B...

    Hope Mumme, Beena E. Thomas, Swati S. Bhasin, Upaasana Krishnan in Nature Communications (2023)