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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chowdhury, Rajdeep | |
dc.contributor.author | Chowdhury, Shibasish | |
dc.contributor.author | Majumder, Syamantak | |
dc.contributor.author | Mukherjee, Sudeshna | |
dc.date.accessioned | 2021-09-27T08:09:38Z | |
dc.date.available | 2021-09-27T08:09:38Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://academic.oup.com/bioinformatics/article/35/10/1701/5126924 | |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/2329 | |
dc.description.abstract | Traditional cancer therapy is focused on eradicating fast proliferating population of tumor cells. However, existing evidences suggest survival of sub-population of cancer cells that can resist chemotherapy by entering a ‘persister’ state of minimal growth. These cells eventually survive to produce cells resistant to drugs. The identifying of appropriate targets that can eliminate the drug-tolerant ‘persisters’ remains a challenge. Hence, a deeper understanding of the distinctive genetic signatures that lead to resistance is of utmost importance to design an appropriate therapy. | en_US |
dc.language.iso | en | en_US |
dc.publisher | OUP | en_US |
dc.subject | Biology | en_US |
dc.subject | Transcriptomic | en_US |
dc.subject | Osteosarcoma cells | en_US |
dc.subject | Gene | en_US |
dc.title | A global transcriptomic pipeline decoding core network of genes involved in stages leading to acquisition of drug-resistance to cisplatin in osteosarcoma cells | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Biological Sciences |
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