Author
J. Kowalski
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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2020-2024 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 12 mutual co-author links5 papers
Recent·Most cited
Quantifying the Prevalence of Non-B DNA Motifs as a Marker of Non-B Burden in Cancer using NBBC
The paper introduces NBBC, a web-based tool for quantifying non-B DNA motifs in cancer, and provides a detailed protocol for its use in analyzing genomic stability and mutation signatures.
bioRxiv · Jan 4, 2024 · PreprintCancer Biology
Transcription Factor EB (TFEB) activity increases resistance of TNBC stem cells to metabolic stress
C. L. Van Den Berg, M. Soleimani, R. Goyal, A. Somma, T. Kaoud, K. N. Dalby, J. Kowalski, S. G. Eckhardt
This study shows that TFEB enhances TNBC stem cell resistance to metabolic stress by modulating autophagy and the unfolded protein response.
bioRxiv · May 30, 2023Cancer Biology
Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition
N. Filipowicz, M. Horbacz, K. Drezek, A. Wojdak, J. Szymanowski, E. Rychlicka-Buniowska, U. Juhas, K. Duzowska, T. Nowikiewicz, W. Stankowska, K. Chojnowska, M. Andreou, U. Lawrynowicz, M. Wojcik, H. Davies, , Rostk
This paper describes a biobanking resource collecting human samples for studying post-zygotic genetic variation in cancer predisposition, including 23,226 samples from 1,711 patients and controls.
bioRxiv · Sep 3, 2021Cancer Biology
An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines
J. Yang, J. Virostko, D. A. Hormuth, J. Liu, A. Brock, J. Kowalski, T. Yankeelov
The paper develops and validates a mathematical model to predict tumor cell growth based on glucose availability in breast cancer cell lines using experimental data.
bioRxiv · Oct 5, 2020Cancer Biology