Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Claudia Cava 1"'
Triple negative aggressive phenotype controlled by miR-135b and miR-365: new theranostics candidates
Autor:
Gloria Bertoli 1, 8, Claudia Cava 1, Fabio Corsi 2, 3, Francesca Piccotti 4, Cristina Martelli 5, Luisa Ottobrini 5, Valentina Vaira 5, 6, Isabella Castiglioni 1, 7
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Scientific Reports
Scientific reports (Nature Publishing Group) 11 (2021): 6553. doi:10.1038/s41598-021-85746-w
info:cnr-pdr/source/autori:Gloria Bertoli 1,8*, Claudia Cava 1,8, Fabio Corsi 2,3, Francesca Piccotti 4, Cristina Martelli 5, Luisa Ottobrini 5, Valentina Vaira 5,6 & Isabella Castiglioni 1,7/titolo:Triple negative aggressive phenotype controlled by miR-135b and miR-365: new theranostics candidates/doi:10.1038%2Fs41598-021-85746-w/rivista:Scientific reports (Nature Publishing Group)/anno:2021/pagina_da:6553/pagina_a:/intervallo_pagine:6553/volume:11
Scientific Reports
Scientific reports (Nature Publishing Group) 11 (2021): 6553. doi:10.1038/s41598-021-85746-w
info:cnr-pdr/source/autori:Gloria Bertoli 1,8*, Claudia Cava 1,8, Fabio Corsi 2,3, Francesca Piccotti 4, Cristina Martelli 5, Luisa Ottobrini 5, Valentina Vaira 5,6 & Isabella Castiglioni 1,7/titolo:Triple negative aggressive phenotype controlled by miR-135b and miR-365: new theranostics candidates/doi:10.1038%2Fs41598-021-85746-w/rivista:Scientific reports (Nature Publishing Group)/anno:2021/pagina_da:6553/pagina_a:/intervallo_pagine:6553/volume:11
Triple negative breast cancer (TNBC) accounts for about a fifth of all breast cancers and includes a diverse group of cancers. The heterogeneity of TNBC and the lack of target receptors on the cell surface make it difficult to develop specific therap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a590116de06fe91ff29cc6f7311c6a45
https://doaj.org/article/55a1477ce51945d6b0c6006989afd3e2
https://doaj.org/article/55a1477ce51945d6b0c6006989afd3e2
Autor:
Claudia Cava 1, Gloria Bertoli 1, Antonio Colaprico 2, 3, Gianluca Bontempi 2, Giancarlo Mauri 4, 5, Isabella Castiglioni 1
Publikováno v:
International Journal of Molecular Sciences, Vol 19, Iss 3, p 910 (2018)
International journal of molecular sciences (Online) 19 (2018): 910. doi:10.3390/ijms19030910
info:cnr-pdr/source/autori:Claudia Cava 1, Gloria Bertoli 1, Antonio Colaprico 2,3, Gianluca Bontempi 2,3, Giancarlo Mauri 4,5 and Isabella Castiglioni 1/titolo:In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer./doi:10.3390%2Fijms19030910/rivista:International journal of molecular sciences (Online)/anno:2018/pagina_da:910/pagina_a:/intervallo_pagine:910/volume:19
International Journal of Molecular Sciences; Volume 19; Issue 3; Pages: 910
International Journal of Molecular Sciences
International journal of molecular sciences, 19 (3
International journal of molecular sciences (Online) 19 (2018): 910. doi:10.3390/ijms19030910
info:cnr-pdr/source/autori:Claudia Cava 1, Gloria Bertoli 1, Antonio Colaprico 2,3, Gianluca Bontempi 2,3, Giancarlo Mauri 4,5 and Isabella Castiglioni 1/titolo:In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer./doi:10.3390%2Fijms19030910/rivista:International journal of molecular sciences (Online)/anno:2018/pagina_da:910/pagina_a:/intervallo_pagine:910/volume:19
International Journal of Molecular Sciences; Volume 19; Issue 3; Pages: 910
International Journal of Molecular Sciences
International journal of molecular sciences, 19 (3
Like other cancer diseases, prostate cancer (PC) is caused by the accumulation of genetic alterations in the cells that drives malignant growth. These alterations are revealed by gene profiling and copy number alteration (CNA) analysis. Moreover, rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8caece4781bd5484d2c2be2167ba82f
http://hdl.handle.net/10281/192831
http://hdl.handle.net/10281/192831
Autor:
Claudia Cava 1, Gloria Bertoli 1, Antonio Colaprico 2, 3, Catharina Olsen 2, Gianluca Bontempi 2, Isabella Castiglioni 1
Publikováno v:
BMC Genomics
BMC genomics, 19 (1
BMC Genomics, Vol 19, Iss 1, Pp 1-16 (2018)
BMC genetics (Online) 19 (2018): 25. doi:10.1186/s12864-017-4423-x
info:cnr-pdr/source/autori:Claudia Cava 1*, Gloria Bertoli 1, Antonio Colaprico 2,3, Catharina Olsen 2,3, Gianluca Bontempi 2,3 and Isabella Castiglioni 1/titolo:Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis./doi:10.1186%2Fs12864-017-4423-x/rivista:BMC genetics (Online)/anno:2018/pagina_da:25/pagina_a:/intervallo_pagine:25/volume:19
BMC genomics, 19 (1
BMC Genomics, Vol 19, Iss 1, Pp 1-16 (2018)
BMC genetics (Online) 19 (2018): 25. doi:10.1186/s12864-017-4423-x
info:cnr-pdr/source/autori:Claudia Cava 1*, Gloria Bertoli 1, Antonio Colaprico 2,3, Catharina Olsen 2,3, Gianluca Bontempi 2,3 and Isabella Castiglioni 1/titolo:Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis./doi:10.1186%2Fs12864-017-4423-x/rivista:BMC genetics (Online)/anno:2018/pagina_da:25/pagina_a:/intervallo_pagine:25/volume:19
Background: Modern high-throughput genomic technologies represent a comprehensive hallmark of molecular changes in pan-cancer studies. Although different cancer gene signatures have been revealed, the mechanism of tumourigenesis has yet to be complet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e66468a22ccc90a1b9dc5d90a12f87f9
https://pubmed.ncbi.nlm.nih.gov/29304754
https://pubmed.ncbi.nlm.nih.gov/29304754
Autor:
Claudia Cava 1, Antonio Colaprico 2, 3, Gloria Bertoli 1, Alex Graudenzi 1, Tiago C. Silva 4, Catharina Olsen 2, Houtan Noushmehr 4, 5, Gianluca Bontempi 2, Giancarlo Mauri 6, 7, Isabella Castiglioni 1
Publikováno v:
International journal of molecular sciences (Online) 18 (2017): E274. doi:10.3390/ijms18020274.
info:cnr-pdr/source/autori:Claudia Cava 1,*, Antonio Colaprico 2,3, Gloria Bertoli 1, Alex Graudenzi 1, Tiago C. Silva 4, Catharina Olsen 2,3, Houtan Noushmehr 4,5, Gianluca Bontempi 2,3, Giancarlo Mauri 6,7 and Isabella Castiglioni 1,*/titolo:SpidermiR: An R%2FBioconductor Package for Integrative Analysis with miRNA Data/doi:10.3390%2Fijms18020274./rivista:International journal of molecular sciences (Online)/anno:2017/pagina_da:E274/pagina_a:/intervallo_pagine:E274/volume:18
info:cnr-pdr/source/autori:Claudia Cava 1,*, Antonio Colaprico 2,3, Gloria Bertoli 1, Alex Graudenzi 1, Tiago C. Silva 4, Catharina Olsen 2,3, Houtan Noushmehr 4,5, Gianluca Bontempi 2,3, Giancarlo Mauri 6,7 and Isabella Castiglioni 1,*/titolo:SpidermiR: An R%2FBioconductor Package for Integrative Analysis with miRNA Data/doi:10.3390%2Fijms18020274./rivista:International journal of molecular sciences (Online)/anno:2017/pagina_da:E274/pagina_a:/intervallo_pagine:E274/volume:18
Gene Regulatory Networks (GRNs) control many biological systems, but how such network coordination is shaped is still unknown. GRNs can be subdivided into basic connections that describe how the network members interact e.g., co-expression, physical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::ad9ad936ffc094d36887c5a92ec52d52
https://publications.cnr.it/doc/366439
https://publications.cnr.it/doc/366439
Autor:
Claudia Cava* 1, Italo Zoppis* 2, Manuela Gariboldi 3, 4, Isabella Castiglioni 1, Giancarlo Mauri 2, Marco Antoniotti 2
Publikováno v:
Journal of Clinical Bioinformatics
Journal of clinical bioinformatics 4 (2014): 2. doi:10.1186/2043-9113-4-2
info:cnr-pdr/source/autori:Claudia Cava* 1; Italo Zoppis* 2; Manuela Gariboldi 3;4; Isabella Castiglioni 1; Giancarlo Mauri 2; Marco Antoniotti 2/titolo:Combined analysis of chromosomal instabilities and gene expression for colon cancer progression inference/doi:10.1186%2F2043-9113-4-2/rivista:Journal of clinical bioinformatics/anno:2014/pagina_da:2/pagina_a:/intervallo_pagine:2/volume:4
Journal of clinical bioinformatics 4 (2014): 2. doi:10.1186/2043-9113-4-2
info:cnr-pdr/source/autori:Claudia Cava* 1; Italo Zoppis* 2; Manuela Gariboldi 3;4; Isabella Castiglioni 1; Giancarlo Mauri 2; Marco Antoniotti 2/titolo:Combined analysis of chromosomal instabilities and gene expression for colon cancer progression inference/doi:10.1186%2F2043-9113-4-2/rivista:Journal of clinical bioinformatics/anno:2014/pagina_da:2/pagina_a:/intervallo_pagine:2/volume:4
Background: Copy number alterations (CNAs) represent an important component of genetic variations. Such alterations are related with certain type of cancer including those of the pancreas, colon, and breast, among others. CNAs have been used as bioma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b095e0a0375d62a48400b3e04b948528
http://europepmc.org/articles/PMC3931674
http://europepmc.org/articles/PMC3931674