Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Abrar Albahrani"'
Autor:
Neetha Nanoth Vellichirammal, Abrar Albahrani, Jasjit K. Banwait, Nitish K. Mishra, You Li, Shrabasti Roychoudhury, Mathew J. Kling, Sameer Mirza, Kishor K. Bhakat, Vimla Band, Shantaram S. Joshi, Chittibabu Guda
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 19, Iss , Pp 1379-1398 (2020)
Gene fusions that contribute to oncogenicity can be explored for identifying cancer biomarkers and potential drug targets. To investigate the nature and distribution of fusion transcripts in cancer, we examined the transcriptome data of about 9,000 p
Externí odkaz:
https://doaj.org/article/bbf94d1bc73341c7bfe8c0ac41d268bd
Autor:
Dalia Moore, Brittney M. Meays, Lepakshe S. V. Madduri, Farah Shahjin, Subhash Chand, Meng Niu, Abrar Albahrani, Chittibabu Guda, Gurudutt Pendyala, Howard S. Fox, Sowmya V. Yelamanchili
Publikováno v:
Stem Cells International, Vol 2019 (2019)
The identification of several evolutionary young miRNAs, which arose in primates, raised several possibilities for the role of such miRNAs in human-specific disease processes. We previously have identified an evolutionary young miRNA, miR-1290, to be
Externí odkaz:
https://doaj.org/article/8c6c7279767a41df864a0014cbb5e3af
Autor:
Shantaram S. Joshi, Jasjit K. Banwait, Kishor K. Bhakat, Chittibabu Guda, Neetha Nanoth Vellichirammal, Mathew J. Kling, Shrabasti Roychoudhury, Sameer Mirza, Abrar Albahrani, Vimla Band, Nitish K. Mishra, You Li
Publikováno v:
Molecular Therapy. Nucleic Acids
Molecular Therapy: Nucleic Acids, Vol 19, Iss, Pp 1379-1398 (2020)
Molecular Therapy: Nucleic Acids, Vol 19, Iss, Pp 1379-1398 (2020)
Gene fusions that contribute to oncogenicity can be explored for identifying cancer biomarkers and potential drug targets. To investigate the nature and distribution of fusion transcripts in cancer, we examined the transcriptome data of about 9,000 p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f540ad1cef84e4d97af0212f28b25e42
http://europepmc.org/articles/PMC7044684
http://europepmc.org/articles/PMC7044684
Publikováno v:
Translational lung cancer research. 11(10)
Lung cancer remains the leading cause of cancer-related deaths in the US despite novel treatment protocols, with about 235,000 new cases and 131,000 deaths expected from this cancer in 2021 alone. Lung adenocarcinoma and squamous cell carcinoma, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::838aa58aa4128181c0ea84e2d948a2f7
https://pubmed.ncbi.nlm.nih.gov/36386463
https://pubmed.ncbi.nlm.nih.gov/36386463
Autor:
Abrar Albahrani, Howard S. Fox, Farah Shahjin, Chittibabu Guda, Dalia Moore, Lepakshe S. V. Madduri, Subhash Chand, Meng Niu, Sowmya V. Yelamanchili, Brittney M. Meays, Gurudutt Pendyala
Publikováno v:
Stem Cells International, Vol 2019 (2019)
Stem Cells International
Stem Cells International
The identification of several evolutionary young miRNAs, which arose in primates, raised several possibilities for the role of such miRNAs in human-specific disease processes. We previously have identified an evolutionary young miRNA, miR-1290, to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d65bd717fbb15635e59153b6557c0bce
https://doi.org/10.1155/2019/8710180
https://doi.org/10.1155/2019/8710180
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2079
Fusion transcripts that are frequent in cancer can be exploited to understand the mechanisms of malignancy and can serve as diagnostic or prognostic markers. Several algorithms have been developed to predict fusion transcripts from DNA or RNA data. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::660453e3ea49428de20e065a2d429166
https://pubmed.ncbi.nlm.nih.gov/31728959
https://pubmed.ncbi.nlm.nih.gov/31728959
Publikováno v:
Methods in Molecular Biology ISBN: 9781493999033
Fusion transcripts that are frequent in cancer can be exploited to understand the mechanisms of malignancy and can serve as diagnostic or prognostic markers. Several algorithms have been developed to predict fusion transcripts from DNA or RNA data. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76b53859aea46afc61c327b8804bf3a9
https://doi.org/10.1007/978-1-4939-9904-0_2
https://doi.org/10.1007/978-1-4939-9904-0_2
Publikováno v:
Cancer Research. 79:743-743
Fusion transcripts, frequently observed in cancer, contribute to oncogenicity by either altering the expression of tumor suppressors/proto-oncogenes or modifying the original function of a protein resulting in an abnormal chimeric protein that stimul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d309a8f7ab7f83d604c204e224bc7fa
https://doi.org/10.1158/1538-7445.am2019-743
https://doi.org/10.1158/1538-7445.am2019-743
Publikováno v:
Cancer Research. 78:3274-3274
Fusion transcripts, frequent in cancer formed from the concatenation of two unrelated genes results primarily from the structural rearrangements of the genome. Fusion transcripts that are unique to a cancer type can be exploited to understand the und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37bd7b5e4647b865e5beb8de097ff93e
https://doi.org/10.1158/1538-7445.am2018-3274
https://doi.org/10.1158/1538-7445.am2018-3274