Zobrazeno 1 - 10
of 15
pro vyhledávání: '"C Steven, Carmack"'
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 1970
Computational prediction of miRNA binding sites on target mRNAs facilitates experimental investigation of miRNA functions. In this chapter, we describe STarMir and STarMirDB, two application modules of the Sfold RNA package. STarMir is a Web server f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::df33894e17ffc5b72f65c0e9d2aba051
https://pubmed.ncbi.nlm.nih.gov/30963486
https://pubmed.ncbi.nlm.nih.gov/30963486
Autor:
Jun Lu, C. Steven Carmack, Dang Long, Chaochun Liu, William A. Rennie, Shaveta Kanoria, Adam Wolenc, Bibekanand Mallick, Ye Ding
Publikováno v:
RNA Biology
microRNAs (miRNAs) are an abundant class of small endogenous non-coding RNAs (ncRNAs) of ∼22 nucleotides (nts) in length. These small regulatory molecules are involved in diverse developmental, physiological and pathological processes. miRNAs targe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57a67b7958ac78437cfc863428da7081
https://doi.org/10.1080/15476286.2016.1182279
https://doi.org/10.1080/15476286.2016.1182279
Autor:
Jijun Cheng, William A. Rennie, Jun Lu, Chaochun Liu, C. Steven Carmack, Ye Ding, Shaveta Kanoria
Publikováno v:
Nucleic Acids Research
Genetic variations within microRNA (miRNA) binding sites can affect miRNA-mediated gene regulation, which may lead to phenotypes and diseases. We perform a transcriptome-scale analysis of genetic variants and miRNA:target interactions identified by C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e26464726afd00e7e61a0eed0eff1457
http://europepmc.org/articles/PMC4150780
http://europepmc.org/articles/PMC4150780
Autor:
C. Steven Carmack, Chaochun Liu, Dang Long, Shaveta Kanoria, William A. Rennie, Jun Lu, Ye Ding, Adam Wolenc
Publikováno v:
Nucleic Acids Research
STarMir web server predicts microRNA (miRNA) binding sites on a target ribonucleic acid (RNA). STarMir is an implementation of logistic prediction models developed with miRNA binding data from crosslinking immunoprecipitation (CLIP) studies (Liu,C.,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31da2f9e3b45da83532ad2ceda6eb7c9
https://doi.org/10.1093/nar/gku376
https://doi.org/10.1093/nar/gku376
Autor:
C. Steven Carmack, Chaochun Liu, Ye Ding, Dang Long, Shaveta Kanoria, Adam Wolenc, William A. Rennie, Bibekanand Mallick
Publikováno v:
RNA Biology. 11:693-701
MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression. Since the discovery of lin-4, the founding member of the miRNA family, over 360 miRNAs have been identified for Caenorhabditis elegans (C. elegans). Prediction and validation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea0f4f2adf9576703f5eb37419d695f0
https://doi.org/10.4161/rna.28868
https://doi.org/10.4161/rna.28868
Publikováno v:
RNA Structure Determination ISBN: 9781493964314
MicroRNAs (miRNAs) are a class of endogenous short noncoding RNAs that regulate gene expression by targeting messenger RNAs (mRNAs), which results in translational repression and/or mRNA degradation. As regulatory molecules, miRNAs are involved in ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa09f3cea1a5f43e3078c377a0aa7b4d
https://doi.org/10.1007/978-1-4939-6433-8_6
https://doi.org/10.1007/978-1-4939-6433-8_6
Autor:
Mikhail A. Nikiforov, Eugenia V. Broude, Elina Levina, Michael Shtutman, Gregory Hurteau, Chang-uk Lim, Felix T. Wieland, Igor B. Roninson, C. Steven Carmack, Timothy T. Harkins, Ye Ding, Ralph Buttyan, Mirza S. Baig
Publikováno v:
Proceedings of the National Academy of Sciences. 108:12449-12454
Anticancer drugs are effective against tumors that depend on the molecular target of the drug. Known targets of cytotoxic anticancer drugs are involved in cell proliferation; drugs acting on such targets are ineffective against nonproliferating tumor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de045181914266c282521f55fd564e64
https://doi.org/10.1073/pnas.1103842108
https://doi.org/10.1073/pnas.1103842108
Autor:
Yu Shao, Anil Maliyekkel, Igor B. Roninson, Mirza S. Baig, C. Steven Carmack, Natalie Warholic, Timothy T. Harkins, Kelly Cole, Michael Shtutman, Eugenia V. Broude, Ye Ding
Publikováno v:
Proceedings of the National Academy of Sciences. 107:7377-7382
As a general strategy for function-based gene identification, an shRNA library containing ≈150 shRNAs per gene was enzymatically generated from normalized (reduced-redundance) human cDNA. The library was constructed in an inducible lentiviral vecto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a821a6c96b84c70f769fedae02e548e8
https://doi.org/10.1073/pnas.1003055107
https://doi.org/10.1073/pnas.1003055107
Autor:
Andrew Lee, Min Han, Ye Ding, Dang Long, Molly Hammell, Victor R. Ambros, C. Steven Carmack, Liang Zhang
Publikováno v:
Nature Methods. 5:813-819
Target prediction for animal microRNAs (miRNAs) has been hindered by the small number of verified targets available to evaluate the accuracy of predicted miRNA-target interactions. Recently, a dataset of 3,404 miRNA-associated mRNA transcripts was id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0739c081ac5ea093b31e5cac2140a9a3
https://doi.org/10.1038/nmeth.1247
https://doi.org/10.1038/nmeth.1247
Autor:
Victoria Derbyshire, C. Steven Carmack, Lee Ann McCue, Charles E. Lawrence, William Thompson, Jun Liu, Michael P. Ryan
Publikováno v:
Nucleic Acids Research. 29:774-782
Toward the goal of identifying complete sets of transcription factor (TF)-binding sites in the genomes of several gamma proteobacteria, and hence describing their transcription regulatory networks, we present a phylogenetic footprinting method for id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6f384baee30909943057a27ba369d5a
https://doi.org/10.1093/nar/29.3.774
https://doi.org/10.1093/nar/29.3.774