Results 31 to 40 of about 374,748 (298)

Aurora kinase A regulates cancer-associated RNA aberrant splicing in breast cancer

Heliyon, 2023
The contribution of oncogenes to tumor-associated RNA splicing and the relevant molecular mechanisms therein require further elaboration. Here, we show that oncogenic Aurora kinase A (AURKA) promotes breast cancer-related RNA aberrant splicing in a ...
Sisi Li, Yangfan Qi, Jiachuan Yu, Yuchao Hao, Lingzhi Xu, Xudong Ding, Minghui Zhang, Jingshu Geng   +7 more
doaj   +1 more source

RNA-Seq analysis of splicing in Plasmodium falciparum uncovers new splice junctions, alternative splicing and splicing of antisense transcripts. [PDF]

, 2011
Over 50% of genes in Plasmodium falciparum, the deadliest human malaria parasite, contain predicted introns, yet experimental characterization of splicing in this organism remains incomplete.
DeRisi, Joseph L, Dimon, Michelle T, Sorber, Katherine   +2 more
core   +3 more sources

RNA splicing modulation

Medecine sciences : M/S, 2021
Advances in genetic and genomic research continue to increase our knowledge of hereditary diseases, and an increasing number of them are being attributed to aberrant splicing, thus representing ideal targets for RNA modulation therapies. New strategies to skip or re-include exons during the splicing process have emerged and are now widely evaluated in ...
Saoudi, Amel, Goyenvalle, Aurélie
openaire   +3 more sources

De novo prediction of PTBP1 binding and splicing targets reveals unexpected features of its RNA recognition and function. [PDF]

, 2014
The splicing regulator Polypyrimidine Tract Binding Protein (PTBP1) has four RNA binding domains that each binds a short pyrimidine element, allowing recognition of diverse pyrimidine-rich sequences.
Black, Douglas L, Fu, Xiang-Dong, Han, Areum, Linares, Anthony J, Stoilov, Peter, Zhou, Yu   +5 more
core   +4 more sources

Linking splicing to Pol II transcription stabilizes pre-mRNAs and influences splicing patterns.

PLoS Biology, 2006
RNA processing is carried out in close proximity to the site of transcription, suggesting a regulatory link between transcription and pre-mRNA splicing. Using an in vitro transcription/splicing assay, we demonstrate that an association of RNA polymerase ...
Martin J Hicks, Chin-Rang Yang, Matthew V Kotlajich, Klemens J Hertel   +3 more
doaj   +1 more source

Steric antisense inhibition of AMPA receptor Q/R editing reveals tight coupling to intronic editing sites and splicing [PDF]

, 2012
Adenosine-to-Inosine (A-to-I) RNA editing is a post-transcriptional mechanism, evolved to diversify the transcriptome in metazoa. In addition to wide-spread editing in non-coding regions protein recoding by RNA editing allows for fine tuning of protein ...
Ales Balik, Altschul, Andrew C. Penn, Arzumanov, Arzumanov, Balik, Bass, Birney, Brusa, Carver, Daniel, Darty, Dominski, Egebjerg, Eisen, Enstero, Feldmeyer, Gallo, Ge, Greger, Hamada, Heasman, Higuchi, Higuchi, Hogg, Ingo H. Greger, Jepson, Jubin, Katoh, Kent, Kwak, Laurencikiene, Maas, Moulton, Peng, Reenan, Rice, Rosenthal, Rueter, Ryman, Schoft, Sommer, Stephens, Summerton, Summerton, Summerton, Tariq, Traynelis, Valente, Venkatesh, Yamashita, Yang   +51 more
core   +1 more source

An overview of RNA splicing and functioning of splicing factors in land plant chloroplasts

RNA Biology, 2022
RNA splicing refers to a process by which introns of a pre-mRNA are excised and the exons at both ends are joined together. Chloroplast introns are inherently self-splicing ribozymes, but over time, they have lost self-splicing ability due to the ...
Xuemei Wang, Jingyi Wang, Simin Li, Congming Lu, Na Sui   +4 more
doaj   +1 more source

A splicing-dependent transcriptional checkpoint associated with prespliceosome formation [PDF]

, 2014
There is good evidence for functional interactions between splicing and transcription in eukaryotes, but how and why these processes are coupled remain unknown.
Ahn, Aitken, Alexander, Alexander, Batsché, Bentley, Buratowski, Carrillo Oesterreich, Chapman, Chen, Cho, Cordin, Cramer, Damgaard, Das, David, de Almeida, Dönmez, Edgar, Egloff, Fong, Furger, Görnemann, Hirose, J. David Barrass, Jean D. Beggs, Ji, Kameoka, Keerthi T. Chathoth, Komarnitsky, Kornblihtt, Kornblihtt, Kosowski, Lacadie, Levine, Li, Lin, McCracken, McKay, Miller, Moore, Orphanides, Perriman, Perriman, Perriman, Perriman, Pleiss, Ruby, Schmidt, Schneider, Schroeder, Shao, Shaun Webb, Singh, Tardiff, Wahl, Wells, Witten, Xu, Xu, Yan, Zavanelli, Zhou   +62 more
core   +1 more source

Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes

npj Precision Oncology, 2020
Germline variants in tumor suppressor genes (TSGs) can result in RNA mis-splicing and predisposition to cancer. However, identification of variants that impact splicing remains a challenge, contributing to a substantial proportion of patients with ...
Tyler Landrith, Bing Li, Ashley A. Cass, Blair R. Conner, Holly LaDuca, Danielle B. McKenna, Kara N. Maxwell, Susan Domchek, Nichole A. Morman, Christopher Heinlen, Deborah Wham, Cathryn Koptiuch, Jennie Vagher, Ragene Rivera, Ann Bunnell, Gayle Patel, Jennifer L. Geurts, Morgan M. Depas, Shraddha Gaonkar, Sara Pirzadeh-Miller, Rebekah Krukenberg, Meredith Seidel, Robert Pilarski, Meagan Farmer, Khateriaa Pyrtel, Kara Milliron, John Lee, Elizabeth Hoodfar, Deepika Nathan, Amanda C. Ganzak, Sitao Wu, Huy Vuong, Dong Xu, Aarani Arulmoli, Melissa Parra, Lily Hoang, Bhuvan Molparia, Michele Fennessy, Susanne Fox, Sinead Charpentier, Julia Burdette, Tina Pesaran, Jessica Profato, Brandon Smith, Ginger Haynes, Emily Dalton, Joy Rae-Radecki Crandall, Ruth Baxter, Hsiao-Mei Lu, Brigette Tippin-Davis, Aaron Elliott, Elizabeth Chao, Rachid Karam   +52 more
doaj   +1 more source

Methods to study splicing from high-throughput RNA Sequencing data

, 2015
The development of novel high-throughput sequencing (HTS) methods for RNA (RNA-Seq) has provided a very powerful mean to study splicing under multiple conditions at unprecedented depth. However, the complexity of the information to be analyzed has turned
A Ameur, A Bhasi, A Dobin, A Mortazavi, A Oshlack, A Roberts, A Roberts, AM Mezlini, AN Brooks, B Jackson, B Kakaradov, B Langmead, B Li, B Li, BJ Haas, BJ Haas, C Trapnell, C Trapnell, C Trapnell, D Hiller, D Singh, DL Wood, DW Bryant, E Eyras, E Lee, E Turro, ET Wang, F Birzele, F Bona De, F Denoeud, F Tang, G Robertson, G Xu, GA Sacomoto, GR Grant, GS Slater, H Bao, H Jiang, H Jiang, H Kim, H Richard, J Behr, J Du, J Feng, J Hu, J Lovén, J Martin, J Salzman, J Seok, J Seok, J Wu, J Wu, JE Allen, JJ Li, JP Venables, K Schneeberger, K Wang, KD Hansen, KF Au, KL Howe, KM Borgwardt, L Chen, L Chen, L Wang, L Wang, LY Chen, M Aschoff, M Fiume, M Garber, M Griffith, M Guttman, M Stanke, M Stanke, M Sultan, MC Ryan, MF Rogers, MG Grabherr, MH Schulz, MT Dimon, N Cloonan, N Cloonan, N Deng, N Leng, N Nicolae, N Philippe, N Vijay, NA Fonseca, O Stegle, P Drewe, P Glaus, PL Martelli, PP Labaj, Q Liu, Q Liu, Q Pan, QY Zhao, R Bohnert, R Guigó, R Li, S Anders, S Djebali, S Filichkin, S Heber, S Huang, S Lee, S Mangul, S Marco-Sola, S Shen, S Sonnenburg, S Srivastava, S Tang, S Zheng, SB Montgomery, SH Nagaraj, SK Lou, T Bonfert, TA Clark, TD Wu, TD Wu, W Li, W Li, W Wang, WJ Kent, Y Hu, Y Katz, Y Li, Y Liao, Y Surget-Groba, Y Xing, Y Xing, Y Zhang, Z Xia   +131 more
core   +1 more source