Author

T. Mandal

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 4 Cancer Biology· 1 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:experimental assay· 3 Research Focus:host-pathogen & immune response· 3 Research Focus:cell signaling & trafficking· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

B. Sinha· 2 shared D. K. Sinha· 2 shared H. Alimohamadi· 2 shared A. Banerjee· 1 shared A. Biswas· 1 shared A. Kundu· 1 shared A. Prince· 1 shared A. Tiwari· 1 shared

Activity by Year

2019-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersBiophysics

B. Sinha

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Lipid Specificity of the Fusion of Bacterial Extracellular Vesicles with the Host Membrane

A. Prince, A. Tiwari, T. Mandal, D. Koiri, G. Meher, D. K. Sinha, M. Saleem

This study investigates how bacterial extracellular vesicles interact with host lipid membranes, showing they increase membrane fluidity and preferentially bind to liquid-disordered regions.

The Journal of Physical Chemistry B · Jul 9, 2024Peer-reviewedBiophysics

Comparing multifunctional viral and eukaryotic proteins for generating scission necks in membranes

H. Alimohamadi, E. W.-C. Luo, S. Gupta, J. d. Anda, R. Yang, T. Mandal, G. Wong

This study compares the membrane scission capabilities of viral and eukaryotic proteins using mechanical models and SAXS data to analyze how lipid composition and interfacial tension affect neck size.

bioRxiv · Jan 5, 2024Biophysics

An explainable machine learning data analytics method using TIGIT-linked genes for identifying biomarker signatures to clinical outcomes.

S. G, D. Agrawal, S. Bhat, T. Mandal, S. Kashipathi, M. S. Madhusudhan, G. Rodrigues, M. Ghosh, N. Chirmule

The paper develops an explainable machine learning model using TIGIT-linked genes to predict survival outcomes in breast cancer patients.

bioRxiv · Dec 5, 2023 · PreprintCancer Biology

How cell penetrating peptides behave differently from pore forming peptides: structure and stability of induced transmembrane pores

H. Alimohamadi, J. de Anda, M. W. Lee, N. W. Schmidt, T. Mandal, G. C. Wong

The paper compares pore formation by antimicrobial peptides (AMPs) and cell penetrating peptides (CPPs) using SAXS data and geometric models to estimate pore sizes and stability.

bioRxiv · Jul 26, 2023Biophysics

Formation of clathrin-pits and ATP-independent cholesterol-dependent tubules initiates mechano-regulation on de-adhesion.

T. Mandal, A. Biswas, T. Ghosh, S. Manikandan, A. Kundu, A. Banerjee, D. Mitra, B. Sinha

This study shows that during de-adhesion, cells use endocytosis to regulate membrane fluctuations, with dynamin-dependent and cholesterol-dependent ATP-independent mechanisms contributing.

bioRxiv · May 31, 2023 · PreprintBiophysics

Piezo1 mechanosensing regulates integrin-dependent chemotactic migration in human T cells

C. S. C. Liu, T. Mandal, P. Biswas, M. A. Hoque, P. Bandopadhyay, B. P. Sinha, J. Sarif, R. D'Rozario, D. K. Sinha, B. Sinha, D. Ganguly

This study shows that Piezo1 mechanosensing is essential for integrin-dependent chemotactic migration of human T cells by mediating calcium influx and calpain activation.

bioRxiv · Aug 16, 2022Immunology

Photo-Disassembly of Membrane Microdomains Revives Conventional Antibiotics against MRSA

J. Hui, P.-T. Dong, L. Liang, T. Mandal, J. Li, E. R. Ulloa, Y. Zhan, S. Jusuf, C. Zong, M. N. Seleem, G. Y. Liu, Q. Cui, J.-X. Cheng

This study uses photo-disassembly of membrane microdomains to restore antibiotic susceptibility in MRSA, enabling conventional antibiotics to inhibit resistance development.

bioRxiv · Sep 26, 2019Microbiology