1. Assessing sufficiency and necessity of enhancer activities for gene ...
Missing: Artur mobile
This review by Catarino and Stark discusses recent insights into mechanistic aspects of enhancer functions. It covers recent developments in the prediction of enhancers based on chromatin characteristics and their identification by functional ...
2. MORA and EnsembleTFpredictor: An ensemble approach to reveal ...
Missing: Artur mobile
Our study aimed to identify biologically relevant transcription factors (TFs) that control the expression of a set of co-expressed or co-regulated genes. We developed a fully automated pipeline, Motif Over Representation Analysis (MORA), to detect ...
3. Regular and Young Investigator Award Abstracts Biomarkers ...
Nov 8, 2022 · Background Immune system response to cancer therapies can indicate whether a patient will have positive outcomes follow- ing therapy.
4. [PDF] Deciphering abdominal aortic diseases through T-cell clonal ...
Missing: Artur mobile
5. [PDF] Title displayed in Acrobat Reader's Document Info Dialog Box
Jul 17, 2023 · contained the same number of calls as the total number of calls for feature A. ... Rumynskiy, Yulia A. Medvedeva, Arturo Magana-Mora ...
6. Articles | BMC Plant Biology
Unearth groundbreaking research in BMC Plant Biology, an open access journal with open collections, 4.3 Impact Factor and 14 days to first decision. BMC ...
Unearth groundbreaking research in BMC Plant Biology, an open access journal with open collections, 4.3 Impact Factor and 14 days to first decision. BMC ...
7. [PDF] UNIVERSITY OF CALIFORNIA SAN DIEGO Machine learning ...
Labels indicate the number of binding sites that overlap between a combination of the cell lines. ... Rumynskiy, Yulia A. Medvedeva, Arturo Magana-Mora ...
8. Statistical estimates of multiple transcription factors binding in the ...
Missing: Artur mobile
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9. [PDF] Autumn Workshop - Polish Bioinformatics Society
Nov 24, 2020 · (the number of matched nucleotides increaces and the number of errors decreases). ... I Rumynskiy, Y. A Medvedeva, A. Magana-Mora, V. B ...
10. Aberrant somatic hypermutation of CCND1 generates non-coding ...
Feb 10, 2022 · Pararajalingam P, Coyle KM, Arthur SE, Thomas N, Alcaide M, Meissner B, et al. Coding and noncoding drivers of mantle cell lymphoma identified ...
Aberrant somatic hypermutation (aSHM) can target proto-oncogenes and drive oncogenesis. In mantle cell lymphoma (MCL), CCND1 is targeted by aSHM in the non-nodal subtype (nnMCL), giving rise to exon1 encoded mutant proteins like E36K, Y44D, and C47S that contribute to lymphomagenesis by virtue of their increased protein stability and nuclear localization. However, the vast majority of somatic variants generated by aSHM are found in the first intron of CCND1 but their significance for mantle cell lymphomagenesis is unknown. We performed whole-genome and whole-transcriptome sequencing in 84 MCL patients to explore the contribution of non-coding somatic variants created by aSHM to lymphomagenesis. We show that non-coding variants are enriched in a MCL specific manner in transcription factor-binding sites, that non-coding variants are associated with increased CCND1 mRNA expression, and that coding variants in the first exon of CCND1 are more often synonymous or cause benign amino acid changes than in other types of lymphomas carrying a t(11;14) translocation. Therefore, the increased frequency of somatic variants due to aSHM might be a consequence of selection pressure manifested at the transcriptional level rather than being a mere mechanistic consequence of misguided activation-induced cytidine deaminase (AID) activity.
11. [PDF] Methods to Improve Knowledge Transfer Efficiency for Data-limited ...
The number of cell types for which the ENCODE Consortium hosts sequencing data (i.e., DNase- seq, and H3K4me1, H3K4me3 and H3K27ac histone ChIP-seq experiments) ...
12. Nucleic Acids Research, Volume 46 - DBLP
Service temporarily not available. Please try again later. Volume 46, Number Database-Issue, January 2018. Editorial.
Bibliographic content of Nucleic Acids Research, Volume 46
