Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Amjad Ahmed Aljagthmi"'
Autor:
Andrew J. Stacy, Mike Bottomley, H. Nicholas Shamma, Madhavi P. Kadakia, Eid S. Alshammari, Amjad Ahmed Aljagthmi, Weiwen Long
Publikováno v:
BMC Cancer
BMC Cancer, Vol 21, Iss 1, Pp 1-12 (2021)
BMC Cancer, Vol 21, Iss 1, Pp 1-12 (2021)
Background p63, a member of the p53 gene family, is an important regulator for epithelial tissue growth and development. ∆Np63α is the main isoform of p63 and highly expressed in Non-melanoma skin cancer (NMSC). Extracellular signal-regulated kina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bffba543eb26dab8f7c843d85c70064
https://doi.org/10.21203/rs.2.23512/v1
https://doi.org/10.21203/rs.2.23512/v1
Autor:
Marcelo G. Kazanietz, Mariana Cooke, Amjad Ahmed Aljagthmi, Martín Carlos Abba, Madhavi P. Kadakia, Natasha T. Hill, Weiwen Long
Publikováno v:
Cell Death & Disease
Cell Death and Disease, Vol 10, Iss 9, Pp 1-14 (2019)
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Cell Death and Disease, Vol 10, Iss 9, Pp 1-14 (2019)
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
ΔNp63α, a member of the p53 family of transcription factors, is overexpressed in a number of cancers and plays a role in proliferation, differentiation, migration, and invasion. ΔNp63α has been shown to regulate several microRNAs that are involve
Publikováno v:
The FASEB Journal. 34:1-1
Autor:
Oleg Paliy, Suraj Sakaram, Natasha T. Hill, Christian M. Garrido, Michael Bottomley, Michael P. Craig, Amjad Ahmed Aljagthmi, Michael L. Raymer, Madhavi P. Kadakia
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
Advances in high-throughput sequencing have enabled profiling of microRNAs (miRNAs), however, a consensus pipeline for sequencing of small RNAs has not been established. We built and optimized an analysis pipeline using Partek Flow, circumventing the