Author

S. Kulkarni

Universitat Politècnica de Catalunya

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

Biology Disciplines

Click to filter author papers

Biophysics· 2 Cancer Biology· 2 Bioengineering· 1 Evolutionary Biology· 1 Microbiology· 1 Physiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 6 Research Focus:cancer & tumor microenvironment· 2 Research Focus:cell signaling & trafficking· 2 Assay:DNA methylation· 2 Approach:experimental assay· 2 Organism:human· 2 Approach:biophysical modeling· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

A. A. Ojanguren-Affilastro· 1 shared A. C. deCarvalho· 1 shared A. Cieslukowski· 1 shared a. malavia· 1 shared A. Pund· 1 shared A. Roye-Azar· 1 shared A. Shamisa· 1 shared B. H. Cochran· 1 shared

Activity by Year

2016-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 8 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEvolutionary Biology

A. A. Ojanguren-Affilastro

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Competing signaling pathways controls electrotaxis

S. Kulkarni, Francesc Tebar, Carles Rentero, Min Zhao, Pablo Sáez

This study develops a mechanistic model to explain electrotaxis by showing how charged membrane receptors polarize and control actomyosin dynamics across cell types.

iScience · Apr 3, 2025Peer-reviewedBiophysics

Profiling Glioma Stem Cell Dynamics via 3D-based Cell Cycle Reporter Assays

D. Lubanska, A. Roye-Azar, S. Alrashed, A. Cieslukowski, M. Soliman, A. C. deCarvalho, A. Shamisa, S. Kulkarni, L. Porter

The paper describes methods to study 3D cell cycle dynamics of glioma stem cells using fluorescent reporter systems and bioinformatics analysis.

bioRxiv · Feb 16, 2024 · PreprintCancer Biology

Neglected no longer: Phylogenomic resolution of higher-level relationships in Solifugae

S. Kulkarni, H. Steiner, E. Garcia, H. Iuri, R. Jones, J. Ballesteros, G. Gainett, M. R. Graham, D. Harms, R. Lyle, A. A. Ojanguren-Affilastro, C. E. Santibanez-Lopez, G. Silva de Miranda, P. E. Cushing, E. Gavish-Regev, P. P. Sharma

This study generates a phylogenomic dataset for Solifugae using ultraconserved elements, revealing a well-resolved phylogeny and divergence times, supporting a diversification history driven by continental breakup.

bioRxiv · Oct 22, 2022Evolutionary Biology

A full computational model of cell motility: Early spreading, cell migration and competing taxis

J. Betorz, G. R. Bokil, S. M. Deshpande, S. Kulkarni, D. Rolando, C. Venturini, P. Saez

This paper develops a computational model of cell motility that explains migration types and signal competition, showing chemotaxis dominates durotaxis but can be overridden under specific conditions.

bioRxiv · Sep 28, 2022 · PreprintBiophysics

Physiologically Based Multiphysics Pharmacokinetic Model for Determining the Temporal Biodistribution of Targeted Nanoparticles

e. glass, S. Kulkarni, C. Eng, s. feng, a. malavia, R. Radhakrishnan

This paper develops and validates physics-based multiscale PBPK models for NP biodistribution, showing model B better matches experimental data and demonstrating neural networks can solve ODE systems with quasi-steady-state approximation.

bioRxiv · Mar 7, 2022 · PreprintBioengineering

Determination of Cas9/dCas9 associated toxicity in microbes

C. S. Misra, G. Bindal, M. Sodani, S. Wadhawan, S. Kulkarni, S. Gautam, R. Mukhopadhyaya, D. Rath

The paper assesses Cas9 and dCas9 toxicity in five microbes by measuring plasmid transformation efficiency, finding differential toxicity levels across species.

bioRxiv · Nov 20, 2019 · PreprintMicrobiology

Inferring causal pathways among three or more variables from steady-state correlations in a homeostatic system

S. Chawla, A. Pund, V. B, S. Kulkarni, M. Diwekar, M. Watve

The paper infers causal pathways among three or more variables in homeostatic systems using steady-state correlations and applies it to challenge the classical pathway in insulin resistance.

bioRxiv · Mar 7, 2018Physiology

Regulation of the JMJD3 (KDM6B) histone demethylase in glioblastoma stem cells by STAT3

M. M. Sherry-Lynes, S. Sengupta, S. Kulkarni, B. H. Cochran

This study shows that STAT3 regulates Jmjd3, a histone demethylase, to maintain repression of differentiation genes in glioblastoma stem cells.

bioRxiv · Jul 9, 2016Cancer Biology