Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Piyali Ganguli"'
Publikováno v:
Royal Society Open Science, Vol 11, Iss 3 (2024)
Tumour-immune microenvironment (TIME) is pivotal in tumour progression and immunoediting. Within TIME, immune cells undergo metabolic adjustments impacting nutrient supply and the anti-tumour immune response. Metabolic reprogramming emerges as a prom
Externí odkaz:
https://doaj.org/article/77818205b84c4a3a9f3ff240e817a43d
Autor:
Malobika Chakravarty, Piyali Ganguli, Manikanta Murahari, Ram Rup Sarkar, Godefridus Johannes Peters, Y. C. Mayur
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Drug resistance is one of the critical challenges faced in the treatment of Glioma. There are only limited drugs available in the treatment of Glioma and among them Temozolomide (TMZ) has shown some effectiveness in treating Glioma patients, however,
Externí odkaz:
https://doaj.org/article/ba35824f48544d86a1679afe531fba6d
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0242943 (2020)
Essential gene prediction helps to find minimal genes indispensable for the survival of any organism. Machine learning (ML) algorithms have been useful for the prediction of gene essentiality. However, currently available ML pipelines perform poorly
Externí odkaz:
https://doaj.org/article/16e3bcf73a30409f8bfb2a47df20b237
Autor:
Anusree Mahanta, Piyali Ganguli, Pankaj Barah, Ram Rup Sarkar, Neelanjana Sarmah, Saurav Phukan, Mayuri Bora, Shashi Baruah
Publikováno v:
Frontiers in Immunology, Vol 9 (2018)
Diseases by protozoan pathogens pose a significant public health concern, particularly in tropical and subtropical countries, where these are responsible for significant morbidity and mortality. Protozoan pathogens tend to establish chronic infection
Externí odkaz:
https://doaj.org/article/cdbdabfe0ecb4888ad6ffef9e6ff1afe
Autor:
Piyali Ganguli, Ram Rup Sarkar
Publikováno v:
PLoS ONE, Vol 13, Iss 9, p e0203030 (2018)
The tumor microenvironment comprising of the immune cells and cytokines acts as the 'soil' that nourishes a developing tumor. Lack of a comprehensive study of the interactions of this tumor microenvironment with the heterogeneous sub-population of tu
Externí odkaz:
https://doaj.org/article/9812b72ec8ac4e4281377e9188f7a6af
Study of essential genes in disease-causing organisms has wide application in the prediction of therapeutic targets and exploring different clinical strategies. Predicting gene essentiality for large set of genes in non-model, less explored organisms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e5ca45641f12ac249ad0ce7bdc79a6d
https://doi.org/10.1101/2022.11.25.517801
https://doi.org/10.1101/2022.11.25.517801
BACKGROUND: Seemingly normal tissues progressively become populated by mutant clones over time. Most of these clones bear mutations in well-known cancer genes but only rarely do they transform into cancer. This poses questions on what triggers cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e783532b2360e218af7fd22a0723196
Publikováno v:
Pathogens and Disease. 79
Interactions of Leishmania donovani secretory virulence factors with the host proteins and their interplay during the infection process in humans is poorly studied in Visceral Leishmaniasis. Lack of a holistic study of pathway level de-regulations ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24c2b43b3d788fe4d7a14181871eed8a
https://doi.org/10.1093/femspd/ftab051
https://doi.org/10.1093/femspd/ftab051
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 11, p e0242943 (2020)
PLoS ONE, Vol 15, Iss 11, p e0242943 (2020)
Essential gene prediction helps to find minimal genes indispensable for the survival of any organism. Machine learning (ML) algorithms have been useful for the prediction of gene essentiality. However, currently available ML pipelines perform poorly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71e9daae2c7738175950e3435f5f8b01
http://europepmc.org/articles/PMC7703937
http://europepmc.org/articles/PMC7703937
India now ranks 3rd in the list of countries affected due to the COVID-19 pandemic. With more than 0.7 million confirmed COVID–19 cases and a gradual withdrawal of nation-wide lockdown, it is expected India may see a further surge in the number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fe90aa5d4179d68277c17eed054f961
https://doi.org/10.21203/rs.3.rs-40655/v1
https://doi.org/10.21203/rs.3.rs-40655/v1