205 citations · 221 across the 16 of their papers we have counts for
17 papers
A Single Equation Explains Go-or-Grow Dynamics in Cyclic Hypoxia
Gopinath Sadhu, Philip K Maini, Mohit Kumar Jolly
We propose a minimal mathematical framework to describe the go-or-grow dynamics of tumor cells comprising two phenotypically distinct populations. One population is migratory and u…
Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities
Marianne Bauer, Akshit Goyal, Sidhartha Goyal +19
Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets, including datasets for cells, species, immune systems, neurons and behaviour.…
Balancing the cellular budget: lessons in metabolism from microbes to cancer
B. Vibishan, Mohit Kumar Jolly, Akshit Goyal
Cancer cells are often seen to prefer glycolytic metabolism over oxidative phosphorylation even in the presence of oxygen-a phenomenon termed the Warburg effect. Despite significan…
Fractal Geometry and Fractional Calculus for Integrative Morphological Mapping of Breast Cancer Complexity
Abhijeet Das, Ramray Bhat, Mohit Kumar Jolly
Breast cancer exhibits intricate morphological and dynamical heterogeneity across cellular, tissue, and tumor scales, posing challenges to conventional modeling approaches that fai…
GRiNS: A Python Library for Simulating Gene Regulatory Network Dynamics
Pradyumna Harlapur, Harshavardhan B, Mohit Kumar Jolly
The emergent dynamics of complex gene regulatory networks govern various cellular processes. However, understanding these dynamics is challenging due to the difficulty of parameter…
An integrative phenotype-structured partial differential equation model for the population dynamics of epithelial-mesenchymal transition
Jules Guilberteau, Paras Jain, Mohit Kumar Jolly +2
Phenotypic heterogeneity along the epithelial-mesenchymal (E-M) axis contributes to cancer metastasis and drug resistance. Recent experimental efforts have collated detailed time-c…
Theoretical and computational tools to model multistable gene regulatory networks
Federico Bocci, Dongya Jia, Qing Nie +2
The last decade has witnessed a surge of theoretical and computational models to describe the dynamics of complex gene regulatory networks, and how these interactions can give rise…
Spatio-temporal Pattern Formation due to Host-Circuit Interplay in Gene Expression Dynamics
Priya Chakraborty, Ushasi Roy, Mohit K. Jolly +1
Biological systems are majorly dependent on their property of bistability in order to exhibit nongenetic heterogeneity in terms of cellular morphology and physiology. Spatial patte…
Biophysical and Biochemical mechanisms underlying Collective Cell Migration in Cancer Metastasis
Ushasi Roy, Tyler Collins, Mohit K. Jolly +1
Multicellular collective migration is a ubiquitous strategy of cells to translocate spatially in diverse tissue environments to accomplish a wide variety of biological phenomena, v…
Towards decoding the coupled decision-making of metabolism and epithelial-mesenchymal transition in cancer
Dongya Jia, Jun Hyoung Park, Harsimran Kaur +9
Cancer cells have the plasticity to adjust their metabolic phenotypes for survival and metastasis. During metastasis, a developmental program known as the epithelial-mesenchymal tr…
Understanding the principles of pattern formation driven by Notch signaling by integrating experiments and theoretical models
Federico Bocci, Jose Nelson Onuchic, Mohit Kumar Jolly
Notch signaling is an evolutionary conserved cell-cell communication pathway. Besides regulating cell-fate decisions at an individual cell level, Notch signaling coordinates the em…
Mathematical Modeling of Plasticity and Heterogeneity in EMT
Shubham Tripathi, Jianhua Xing, Herbert Levine +1
Epithelial-Mesenchymal Transition (EMT), and the corresponding reverse process, Mesenchymal-Epithelial Transition (MET), are dynamic and reversible cellular programs orchestrated b…
Quantifying cancer epithelial-mesenchymal plasticity and its association with stemness and immune response
Dongya Jia, Xuefei Li, Federico Bocci +5
Cancer cells can acquire a spectrum of stable hybrid epithelial/mesenchymal (E/M) states during epithelial-mesenchymal transition (EMT). Cells in these hybrid E/M phenotypes often…
Deciphering the dynamics of Epithelial-Mesenchymal Transition and Cancer Stem Cells in tumor progression
Federico Bocci, Herbert Levine, José Nelson Onuchic +1
Purpose of review: The epithelial-Mesenchymal Transition (EMT) and the generation of Cancer Stem Cells (CSC) are two fundamental aspects contributing to tumor growth, acquisition o…
Analysis of hierarchical organization in gene expression networks reveals underlying principles of collective tumor cell dissemination and metastatic aggressiveness of inflammatory breast cancer
Shubham Tripathi, Mohit Kumar Jolly, Wendy A. Woodward +2
Clusters of circulating tumor cells (CTCs), although rare, may account for more than 95% of metastases. Inflammatory breast cancer (IBC) is a highly aggressive subtype that chiefly…
Distinguishing Mechanisms Underlying EMT Tristability
Dongya Jia, Mohit Kumar Jolly, Satyendra C. Tripathi +10
Background: The Epithelial-Mesenchymal Transition (EMT) endows epithelial-looking cells with enhanced migratory ability during embryonic development and tissue repair. EMT can also…
Implications of the hybrid epithelial/mesenchymal phenotype in metastasis
Mohit Kumar Jolly, Marcelo Boareto, Bin Huang +5
Understanding cell-fate decisions during tumorigenesis and metastasis is a major challenge in modern cancer biology. One canonical cell-fate decision that cancer cells undergo is E…