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Toplam kayıt 33, listelenen: 21-30
Quaking promotes monocyte differentiation into pro-atherogenic macrophages by controlling pre-mRNA splicing and gene expression
(Nature Communications, 2016)
A hallmark of inflammatory diseases is the excessive recruitment and influx of monocytes to sites of tissue damage and their ensuing differentiation into macrophages. Numerous stimuli are known to induce transcriptional ...
A comprehensive database of high-throughput sequencing-based RNA secondary structure probing data (structure surfer)
(BMC Bioinformatics, 2016)
Background: RNA molecules fold into complex three-dimensional shapes, guided by the pattern of hydrogen bonding between nucleotides. This pattern of base pairing, known as RNA secondary structure, is critical to their ...
The P-body protein 4E-T represses translation to regulate the balance between cell genesis and establishment of the postnatal NSC pool
(Elsevier, 2023)
Here, we ask how developing precursors maintain the balance between cell genesis for tissue growth and establishment of adult stem cell pools, focusing on postnatal forebrain neural precursor cells (NPCs). We show that ...
Graph-theoretical comparison of normal and tumor networks in identifying BRCA genes
(BMC Systems Biology, 2017)
Background: Identification of driver genes related to certain types of cancer is an important research topic. Several systems biology approaches have been suggested, in particular for the identification of breast cancer ...
SCITUNA: a network alignment approach for integrating multiple single-cell RNA-Seq datasets
(15th International Symposium on Health Informatics and Bioinformatics, 2022)
The throughput and cost of single-cell RNA sequencing (scRNA-seq) are in continuous improvement, and so is the demand for larger-scale scRNA-seq data, which could require integrating multiple datasets from different ...
PersonaDrive: a method for the identification and prioritization of personalized cancer drivers
(Bioinformatics, 2022)
Motivation:
A major challenge in cancer genomics is to distinguish the driver mutations that are causally linked to cancer from passenger mutations that do not contribute to cancer development. The majority of existing ...
Sparse data embedding and prediction by tropical matrix factorization
(BMC Bioinformatics, 2021)
Background Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models. We propose ...
miR-223 exerts translational control of proatherogenic genes in macrophages
(AHA Journals, 2022)
Background: A significant burden of atherosclerotic disease is driven by inflammation. Recently, microRNAs (miRNAs) have emerged as important factors driving and protecting from atherosclerosis. miR-223 regulates cholesterol ...
A network-centric framework for the evaluation of mutual exclusivity tests on cancer drivers
(Frontiers in Genetics, 2021)
One of the key concepts employed in cancer driver gene identification is that of mutual exclusivity (ME); a driver mutation is less likely to occur in case of an earlier mutation that has common functionality in the same ...
Community assessment of the predictability of cancer protein and phosphoprotein levels from genomics and transcriptomics
(Cell Systems, 2020)
Cancer is driven by genomic alterations, but the processes causing this disease are largely performed by proteins. However, proteins are harder and more expensive to measure than genes and transcripts. To catalyze developments ...