Dhruba Tara Maharjan

ORCID: 0009-0004-6131-609X
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About
Contact & Profiles
Research Areas
  • Genomics and Rare Diseases
  • Bioinformatics and Genomic Networks
  • Skin Protection and Aging
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Skin and Cellular Biology Research
  • melanin and skin pigmentation
  • Genomics and Phylogenetic Studies
  • RNA Research and Splicing
  • Single-cell and spatial transcriptomics
  • Photodynamic Therapy Research Studies
  • Hormonal and reproductive studies
  • Stress Responses and Cortisol
  • Hypothalamic control of reproductive hormones
  • Mitochondrial Function and Pathology
  • Genetics and Neurodevelopmental Disorders
  • Dermatologic Treatments and Research

Shanghai Mental Health Center
2022-2023

Shanghai Jiao Tong University
2017-2023

Abstract Keratins play critical roles in intermediate filament formation, inflammatory responses and cellular signaling epithelium. While keratins is a major epidermal fluorophore, the mechanisms underlying autofluorescence (AF) of its biomedical implications have remained unknown. Our study used mouse skin as model to these topics, showing that UV dose-dependently induced increases green AF at spinous layer epidermis within 6 hr exposures, which may be for non-invasive prediction UV-induced...

10.1101/226308 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2017-11-29

Identifying pathogenetic variants and inferring their impact on protein–protein interactions sheds light functional consequences diseases. Limited by the availability of experimental data protein interaction, most existing methods focus building models to predict changes in binding affinity. Here, we introduced MIPPI, an end-to-end, interpretable transformer-based deep learning model that learns features directly from sequences leveraging interaction IMEx. MIPPI was specifically trained...

10.34133/research.0219 article EN cc-by Research 2023-01-01

Abstract Our recent study has reported that UV-induced epidermal autofluorescence (AF) can be used as a novel biomarker for predicting skin damage, which is originated from UV-induced, cysteine protease-mediated keratin 1 degradation. A key question regarding these findings is: Does oxidative stress play significant role in the AF and proteolysis? In our current study, we administered widely antioxidant N-acetyl (NAC) into of mouse ears to test hypothesis mediates increases shown NAC...

10.1101/298000 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2018-04-09

Schizophrenia (SCZ) is a severe mental disorder that may result in hallucinations, delusions, and extremely disordered thinking. How each cell type the brain contributes to SCZ occurrence still unclear. Here, we leveraged human dorsolateral prefrontal cortex bulk RNA-seq data, then used deconvolution algorithm CIBERSORTx generate single-cell data for comprehensive analysis understand SCZ-associated types gene expression changes. Firstly, observed proportions of differed from normal samples....

10.3390/ijms231911581 article EN International Journal of Molecular Sciences 2022-09-30

Abstract It is critical to discover biomarkers for non-invasive evaluation of the levels inflammation and oxidative stress in human body - two key pathological factors numerous diseases. Our study has indicated keratin 1-based epidermal autofluorescence (AF) as a biomarker this type: Inducers both dose-dependently increased green AF with polyhedral structure mice, intensity being highly associated dosages inducers. Lung cancer also induced which was mediated by inflammation. Significant...

10.1101/564112 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2019-02-28

Schizophrenia (SCZ) is a severe mental disorder that may result in hallucinations, delusions, and extremely disordered thinking. How each cell type the brain contributes to SCZ occurrence still unclear. Here, we leveraged human dorsolateral prefrontal cortex bulk RNA-seq data, then used deconvolution algorithm CIBERSORTx generate single-cell data for comprehensive analysis understand SCZ-associated types gene expression changes. Firstly, observed proportions of differed from normal samples....

10.20944/preprints202208.0341.v1 preprint EN 2022-08-18

Mutations, especially those at the protein-protein interaction (PPI) interface, have been associated with various diseases. Meanwhile, though de novo mutations (DNMs) proven important in neuropsychiatric disorders, such as developmental delay (DD), relationship between PPI interface DMNs and DD has not well studied. Here we curated DNM datasets from PsyMuKB database showed that patients a higher rate deleteriousness missense on than sibling control. Next, identified 302 DD-related...

10.20944/preprints202208.0355.v1 preprint EN 2022-08-19

Mutations, especially those at the protein-protein interaction (PPI) interface, have been associated with various diseases. Meanwhile, though de novo mutations (DNMs) proven important in neuropsychiatric disorders, such as developmental delay (DD), relationship between PPI interface DNMs and DD has not well studied. Here we curated DNM datasets from PsyMuKB database showed that patients a higher rate deleteriousness missense on than sibling control. Next, identified 302 DD-related...

10.3390/biom12111643 article EN cc-by Biomolecules 2022-11-06

Abstract Identifying pathogenetic variants and inferring their impact on protein–protein interactions sheds light functional consequences diseases. Limited by the availability of experimental data protein interaction, most existing methods focus building models to predict changes in binding affinity. Here, we introduced MIPPI, an end-to-end, interpretable transformer-based deep learning model that learns features directly from sequences leveraging interaction IMEx. We trained MIPPI determine...

10.21203/rs.3.rs-2300902/v1 preprint EN cc-by Research Square (Research Square) 2022-11-22
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