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 |