239 related articles for article (PubMed ID: 34622164)
1. Systems-level network modeling deciphers the master regulators of phenotypic plasticity and heterogeneity in melanoma.
Pillai M; Jolly MK
iScience; 2021 Oct; 24(10):103111. PubMed ID: 34622164
[TBL] [Abstract][Full Text] [Related]
2. Dynamical modeling of proliferative-invasive plasticity and IFNγ signaling in melanoma reveals mechanisms of PD-L1 expression heterogeneity.
Subhadarshini S; Sahoo S; Debnath S; Somarelli JA; Jolly MK
J Immunother Cancer; 2023 Sep; 11(9):. PubMed ID: 37678920
[TBL] [Abstract][Full Text] [Related]
3. Novel Hybrid Phenotype Revealed in Small Cell Lung Cancer by a Transcription Factor Network Model That Can Explain Tumor Heterogeneity.
Udyavar AR; Wooten DJ; Hoeksema M; Bansal M; Califano A; Estrada L; Schnell S; Irish JM; Massion PP; Quaranta V
Cancer Res; 2017 Mar; 77(5):1063-1074. PubMed ID: 27932399
[TBL] [Abstract][Full Text] [Related]
4. Dynamical modelling of proliferative-invasive plasticity and IFNγ signaling in melanoma reveals mechanisms of PD-L1 expression heterogeneity.
Subhadarshini S; Sahoo S; Debnath S; Somarelli JA; Jolly MK
bioRxiv; 2023 Jun; ():. PubMed ID: 37398358
[TBL] [Abstract][Full Text] [Related]
5. Phenotypic Plasticity and Cell Fate Decisions in Cancer: Insights from Dynamical Systems Theory.
Jia D; Jolly MK; Kulkarni P; Levine H
Cancers (Basel); 2017 Jun; 9(7):. PubMed ID: 28640191
[TBL] [Abstract][Full Text] [Related]
6. Quantitative landscapes reveal trajectories of cell-state transitions associated with drug resistance in melanoma.
Pillai M; Chen Z; Jolly MK; Li C
iScience; 2022 Dec; 25(12):105499. PubMed ID: 36425754
[TBL] [Abstract][Full Text] [Related]
7. Dynamical hallmarks of cancer: Phenotypic switching in melanoma and epithelial-mesenchymal plasticity.
Jain P; Pillai M; Duddu AS; Somarelli JA; Goyal Y; Jolly MK
Semin Cancer Biol; 2023 Nov; 96():48-63. PubMed ID: 37788736
[TBL] [Abstract][Full Text] [Related]
8. Emergent dynamics of a three-node regulatory network explain phenotypic switching and heterogeneity: a case study of Th1/Th2/Th17 cell differentiation.
Duddu AS; Majumdar SS; Sahoo S; Jhunjhunwala S; Jolly MK
Mol Biol Cell; 2022 May; 33(6):ar46. PubMed ID: 35353012
[TBL] [Abstract][Full Text] [Related]
9. Topological signatures in regulatory network enable phenotypic heterogeneity in small cell lung cancer.
Chauhan L; Ram U; Hari K; Jolly MK
Elife; 2021 Mar; 10():. PubMed ID: 33729159
[TBL] [Abstract][Full Text] [Related]
10. Systems biology analysis of mitogen activated protein kinase inhibitor resistance in malignant melanoma.
Zecena H; Tveit D; Wang Z; Farhat A; Panchal P; Liu J; Singh SJ; Sanghera A; Bainiwal A; Teo SY; Meyskens FL; Liu-Smith F; Filipp FV
BMC Syst Biol; 2018 Apr; 12(1):33. PubMed ID: 29615030
[TBL] [Abstract][Full Text] [Related]
11. A TCF4-dependent gene regulatory network confers resistance to immunotherapy in melanoma.
Pozniak J; Pedri D; Landeloos E; Van Herck Y; Antoranz A; Vanwynsberghe L; Nowosad A; Roda N; Makhzami S; Bervoets G; Maciel LF; Pulido-Vicuña CA; Pollaris L; Seurinck R; Zhao F; Flem-Karlsen K; Damsky W; Chen L; Karagianni D; Cinque S; Kint S; Vandereyken K; Rombaut B; Voet T; Vernaillen F; Annaert W; Lambrechts D; Boecxstaens V; Saeys Y; van den Oord J; Bosisio F; Karras P; Shain AH; Bosenberg M; Leucci E; Paschen A; Rambow F; Bechter O; Marine JC
Cell; 2024 Jan; 187(1):166-183.e25. PubMed ID: 38181739
[TBL] [Abstract][Full Text] [Related]
12. Systems biology approach identifies key regulators and the interplay between miRNAs and transcription factors for pathological cardiac hypertrophy.
Recamonde-Mendoza M; Werhli AV; Biolo A
Gene; 2019 May; 698():157-169. PubMed ID: 30844478
[TBL] [Abstract][Full Text] [Related]
13. A Systems Biology Approach To Disentangle the Direct and Indirect Effects of Global Transcription Factors on Gene Expression in Escherichia coli.
Iyer MS; Pal A; Venkatesh KV
Microbiol Spectr; 2023 Feb; 11(2):e0210122. PubMed ID: 36749045
[TBL] [Abstract][Full Text] [Related]
14. Dynamical analysis of cellular ageing by modeling of gene regulatory network based attractor landscape.
Chong KH; Zhang X; Zheng J
PLoS One; 2018; 13(6):e0197838. PubMed ID: 29856751
[TBL] [Abstract][Full Text] [Related]
15. Identification of upstream regulators for prognostic expression signature genes in colorectal cancer.
Bae T; Rho K; Choi JW; Horimoto K; Kim W; Kim S
BMC Syst Biol; 2013 Sep; 7():86. PubMed ID: 24006872
[TBL] [Abstract][Full Text] [Related]
16. AP-1 transcription factor network explains diverse patterns of cellular plasticity in melanoma cells.
Comandante-Lou N; Baumann DG; Fallahi-Sichani M
Cell Rep; 2022 Aug; 40(5):111147. PubMed ID: 35926467
[TBL] [Abstract][Full Text] [Related]
17. Phenotype Switching and the Melanoma Microenvironment; Impact on Immunotherapy and Drug Resistance.
Hossain SM; Eccles MR
Int J Mol Sci; 2023 Jan; 24(2):. PubMed ID: 36675114
[TBL] [Abstract][Full Text] [Related]
18. New Insights into the Phenotype Switching of Melanoma.
Pagliuca C; Di Leo L; De Zio D
Cancers (Basel); 2022 Dec; 14(24):. PubMed ID: 36551603
[TBL] [Abstract][Full Text] [Related]
19. Predictive genomics: a cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data.
Wang E; Zaman N; Mcgee S; Milanese JS; Masoudi-Nejad A; O'Connor-McCourt M
Semin Cancer Biol; 2015 Feb; 30():4-12. PubMed ID: 24747696
[TBL] [Abstract][Full Text] [Related]
20. Reverse Engineering of the Pediatric Sepsis Regulatory Network and Identification of Master Regulators.
Oliveira RAC; Imparato DO; Fernandes VGS; Cavalcante JVF; Albanus RD; Dalmolin RJS
Biomedicines; 2021 Sep; 9(10):. PubMed ID: 34680414
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]