The function of neuronal networks is determined not only by synaptic connectivity but also by neuromodulatory systems that broadcast information via distributed connections and volume transmission. To understand the molecular constraints that organize neuromodulatory signaling in the telencephalon of adult zebrafish, we used transcriptomics and additional approaches to delineate cell types, to determine their phylogenetic conservation, and to map the expression of marker genes at high granularity. The combinatorial expression of GPCRs and cell-type markers indicates that all neuronal cell types are subject to modulation by multiple monoaminergic systems and distinct combinations of neuropeptides.
View Article and Find Full Text PDFThere is an ongoing explosion of scientific datasets being generated, brought on by recent technological advances in many areas of the natural sciences. As a result, the life sciences have become increasingly computational in nature, and bioinformatics has taken on a central role in research studies. However, basic computational skills, data analysis, and stewardship are still rarely taught in life science educational programs, resulting in a skills gap in many of the researchers tasked with analysing these big datasets.
View Article and Find Full Text PDFSummary: Properly and effectively managing reference datasets is an important task for many bioinformatics analyses. Refgenie is a reference asset management system that allows users to easily organize, retrieve and share such datasets. Here, we describe the integration of refgenie into the Galaxy platform.
View Article and Find Full Text PDFBackground: The vast ecosystem of single-cell RNA-sequencing tools has until recently been plagued by an excess of diverging analysis strategies, inconsistent file formats, and compatibility issues between different software suites. The uptake of 10x Genomics datasets has begun to calm this diversity, and the bioinformatics community leans once more towards the large computing requirements and the statistically driven methods needed to process and understand these ever-growing datasets.
Results: Here we outline several Galaxy workflows and learning resources for single-cell RNA-sequencing, with the aim of providing a comprehensive analysis environment paired with a thorough user learning experience that bridges the knowledge gap between the computational methods and the underlying cell biology.
Ribosomes undergo multiple conformational transitions during translation elongation. Here, we report the high-resolution cryoelectron microscopy (cryo-EM) structure of the human 80S ribosome in the post-decoding pre-translocation state (classical-PRE) at 3.3-Å resolution along with the rotated (hybrid-PRE) and the post-translocation states (POST).
View Article and Find Full Text PDFThe primary problem with the explosion of biomedical datasets is not the data, not computational resources, and not the required storage space, but the general lack of trained and skilled researchers to manipulate and analyze these data. Eliminating this problem requires development of comprehensive educational resources. Here we present a community-driven framework that enables modern, interactive teaching of data analytics in life sciences and facilitates the development of training materials.
View Article and Find Full Text PDFBackground: Glioblastoma (GBM) is one of the most aggressive human brain tumors, with a median survival of 15-18 months. There is a desperate need to find novel therapeutic targets. Various receptor protein kinases have been identified as potential targets; however, response rates in clinical studies have been somewhat disappointing.
View Article and Find Full Text PDFDuring mouse preimplantation development, major changes in cell fate are accompanied by extensive alterations of gene expression programs. Embryos first transition from a maternal to zygotic program and subsequently specify the pluripotent and the trophectodermal cell lineages. These processes are regulated by key transcription factors, likely in cooperation with chromatin modifiers that control histone and DNA methylation.
View Article and Find Full Text PDFnlharris@lbl.gov
View Article and Find Full Text PDFBackground: High-throughput omics technologies such as microarrays and next-generation sequencing (NGS) have become indispensable tools in biological research. Computational analysis and biological interpretation of omics data can pose significant challenges due to a number of factors, in particular the systems integration required to fully exploit and compare data from different studies and/or technology platforms. In transcriptomics, the identification of differentially expressed genes when studying effect(s) or contrast(s) of interest constitutes the starting point for further downstream computational analysis (e.
View Article and Find Full Text PDFTranscription of eukaryotic genomes is more widespread than was previously anticipated and results in the production of many non-protein-coding RNAs (ncRNAs) whose functional relevance is poorly understood. Here we demonstrate that ncRNAs can counteract the encroachment of heterochromatin into neighboring euchromatin. We have identified a long ncRNA (termed BORDERLINE) that prevents spreading of the HP1 protein Swi6 and histone H3 Lys9 methylation beyond the pericentromeric repeat region of Schizosaccharomyces pombe chromosome 1.
View Article and Find Full Text PDFRNAi pathways are prevalent throughout the eukaryotic kingdom and are well known to regulate gene expression on a post-transcriptional level in the cytoplasm. Less is known about possible functions of RNAi in the nucleus. In the fission yeast Schizosaccharomyces pombe, RNAi is crucial to establish and maintain centromeric heterochromatin and functions to repress genome activity by a chromatin silencing mechanism referred to as cotranscriptional gene silencing (CTGS).
View Article and Find Full Text PDFDicer proteins function in RNA interference (RNAi) pathways by generating small RNAs (sRNAs). Here, we report the solution structure of the C-terminal domain of Schizosaccharomyces pombe Dicer (Dcr1). The structure reveals an unusual double-stranded RNA binding domain (dsRBD) fold embedding a novel zinc-binding motif that is conserved among dicers in yeast.
View Article and Find Full Text PDFWe explored novel functions of tenascin-C by comparing mouse embryonic fibroblasts (MEFs) proficient or deficient in tenascin-C expression. Transcript profiling analysis identified tissue plasminogen activator (tPA) as the most consistently over-expressed gene in all tenascin-C deficient MEFs. This was confirmed by real-time PCR as well as by protein expression analysis.
View Article and Find Full Text PDFTranscriptional and epigenetic control of gene expression is critical for cell fate specification, commitment and terminal differentiation during development. However, also regulatory RNAs and RNA-binding proteins have emerged as critical developmental regulators. They control various aspects of mRNA metabolism such as stability, translation, and localization, and similar to some transcriptional regulators, such as PAX5 and MYC, they can affect gene expression on a massive scale.
View Article and Find Full Text PDFPfam is a comprehensive collection of protein domains and families, represented as multiple sequence alignments and as profile hidden Markov models. The current release of Pfam (22.0) contains 9318 protein families.
View Article and Find Full Text PDFThe Ensembl Web site (http://www.ensembl.org/) is the principal user interface to the data of the Ensembl project, and currently serves >500,000 pages (approximately 2.
View Article and Find Full Text PDFEnsembl (http://www.ensembl.org/) is a bioinformatics project to organize biological information around the sequences of large genomes.
View Article and Find Full Text PDFSaccharomyces cerevisiae Prp22 and Prp16 are RNA-dependent ATPases required for pre-mRNA splicing. Both proteins are members of the DEXH-box family of nucleic acid-dependent NTPases. Prior mutational analysis of Prp22 and Prp16 identified residues within conserved motifs I (GXGKT), II (DEAH), and VI (QRXGRXGR) that are required for their biological activity.
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