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dc.contributor.authorChowdhury, Rajdeep
dc.contributor.authorChowdhury, Shibasish
dc.contributor.authorMajumder, Syamantak
dc.contributor.authorMukherjee, Sudeshna
dc.date.accessioned2021-09-27T08:09:38Z
dc.date.available2021-09-27T08:09:38Z
dc.date.issued2019
dc.identifier.urihttps://academic.oup.com/bioinformatics/article/35/10/1701/5126924
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/2329
dc.description.abstractTraditional 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.isoenen_US
dc.publisherOUPen_US
dc.subjectBiologyen_US
dc.subjectTranscriptomicen_US
dc.subjectOsteosarcoma cellsen_US
dc.subjectGeneen_US
dc.titleA global transcriptomic pipeline decoding core network of genes involved in stages leading to acquisition of drug-resistance to cisplatin in osteosarcoma cellsen_US
dc.typeArticleen_US
Appears in Collections:Department of Biological Sciences

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