Jaiswal A - Search Results

1

Systematic drug screening reveals specific vulnerabilities and co-resistance patterns in endocrine-resistant breast cancer.

Kangaspeska S, Hultsch S, Jaiswal A, Edgren H, Mpindi JP, Eldfors S, Brück O, Aittokallio T, Kallioniemi O. Kangaspeska S, et al. Among authors: jaiswal a. BMC Cancer. 2016 Jul 4;16:378. doi: 10.1186/s12885-016-2452-5. BMC Cancer. 2016. PMID: 27378269 Free PMC article.

2

Integrated Analysis of Drug Sensitivity and Selectivity to Predict Synergistic Drug Combinations and Target Coaddictions in Cancer.

Jaiswal A, Yadav B, Wennerberg K, Aittokallio T. Jaiswal A, et al. Methods Mol Biol. 2019;1888:205-217. doi: 10.1007/978-1-4939-8891-4_12. Methods Mol Biol. 2019. PMID: 30519949

3

Phenotypic Screening Combined with Machine Learning for Efficient Identification of Breast Cancer-Selective Therapeutic Targets.

Gautam P, Jaiswal A, Aittokallio T, Al-Ali H, Wennerberg K. Gautam P, et al. Among authors: jaiswal a. Cell Chem Biol. 2019 Jul 18;26(7):970-979.e4. doi: 10.1016/j.chembiol.2019.03.011. Epub 2019 May 2. Cell Chem Biol. 2019. PMID: 31056464 Free PMC article.

4

Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells.

Jaiswal A, Peddinti G, Akimov Y, Wennerberg K, Kuznetsov S, Tang J, Aittokallio T. Jaiswal A, et al. Genome Med. 2017 Jun 1;9(1):51. doi: 10.1186/s13073-017-0440-2. Genome Med. 2017. PMID: 28569207 Free PMC article.

5

UBR5 Is Coamplified with MYC in Breast Tumors and Encodes an Ubiquitin Ligase That Limits MYC-Dependent Apoptosis.

Qiao X, Liu Y, Prada ML, Mohan AK, Gupta A, Jaiswal A, Sharma M, Merisaari J, Haikala HM, Talvinen K, Yetukuri L, Pylvänäinen JW, Klefström J, Kronqvist P, Meinander A, Aittokallio T, Hietakangas V, Eilers M, Westermarck J. Qiao X, et al. Among authors: jaiswal a. Cancer Res. 2020 Apr 1;80(7):1414-1427. doi: 10.1158/0008-5472.CAN-19-1647. Epub 2020 Feb 6. Cancer Res. 2020. PMID: 32029551 Free article.

6

Cancer stem cell drugs target K-ras signaling in a stemness context.

Najumudeen AK, Jaiswal A, Lectez B, Oetken-Lindholm C, Guzmán C, Siljamäki E, Posada IM, Lacey E, Aittokallio T, Abankwa D. Najumudeen AK, et al. Among authors: jaiswal a. Oncogene. 2016 Oct 6;35(40):5248-5262. doi: 10.1038/onc.2016.59. Epub 2016 Mar 14. Oncogene. 2016. PMID: 26973241 Free PMC article.

7

Drug Target Commons 2.0: a community platform for systematic analysis of drug-target interaction profiles.

Tanoli Z, Alam Z, Vähä-Koskela M, Ravikumar B, Malyutina A, Jaiswal A, Tang J, Wennerberg K, Aittokallio T. Tanoli Z, et al. Among authors: jaiswal a. Database (Oxford). 2018 Jan 1;2018:1-13. doi: 10.1093/database/bay083. Database (Oxford). 2018. PMID: 30219839 Free PMC article.

8

Multi-modal meta-analysis of cancer cell line omics profiles identifies ECHDC1 as a novel breast tumor suppressor.

Jaiswal A, Gautam P, Pietilä EA, Timonen S, Nordström N, Akimov Y, Sipari N, Tanoli Z, Fleischer T, Lehti K, Wennerberg K, Aittokallio T. Jaiswal A, et al. Mol Syst Biol. 2021 Mar;17(3):e9526. doi: 10.15252/msb.20209526. Mol Syst Biol. 2021. PMID: 33750001 Free PMC article.

9

Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer.

Tang J, Gautam P, Gupta A, He L, Timonen S, Akimov Y, Wang W, Szwajda A, Jaiswal A, Turei D, Yadav B, Kankainen M, Saarela J, Saez-Rodriguez J, Wennerberg K, Aittokallio T. Tang J, et al. Among authors: jaiswal a. NPJ Syst Biol Appl. 2019 Jul 8;5:20. doi: 10.1038/s41540-019-0098-z. eCollection 2019. NPJ Syst Biol Appl. 2019. PMID: 31312514 Free PMC article.

10

Novel Small Molecule Hsp90/Cdc37 Interface Inhibitors Indirectly Target K-Ras-Signaling.

Siddiqui FA, Parkkola H, Vukic V, Oetken-Lindholm C, Jaiswal A, Kiriazis A, Pavic K, Aittokallio T, Salminen TA, Abankwa D. Siddiqui FA, et al. Among authors: jaiswal a. Cancers (Basel). 2021 Feb 23;13(4):927. doi: 10.3390/cancers13040927. Cancers (Basel). 2021. PMID: 33672199 Free PMC article.

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