Arthroscopic Bankart repair combined with Hill-Sachs remplissage can restore shoulder stability without significant impairment of shoulder function in patients with engaging Hill-Sachs lesions.
therapeutic Level I. See Instructions to Authors for a complete description of levels of evidence.
Phosphorylation of the SSXS motif of Smads is critical in activating the transforming growth factor β (TGF-β) and bone morphogenetic protein (BMP) pathways. However, the phosphatase(s) involved in dephosphorylating and hence inactivating Smads remained elusive. Through RNA interference (RNAi)-based screening of serine/threonine phosphatases in Drosophila S2 cells, we identified pyruvate dehydrogenase phosphatase (PDP) to be required for dephosphorylation of Mothers against Decapentaplegic (MAD), a Drosophila Smad. Biochemical and genetic evidence suggest that PDP directly dephosphorylates MAD and inhibits signal transduction of Decapentaplegic (DPP). We show that the mammalian PDPs are important in dephosphorylation of BMP-activated Smad1 but not TGF-β-activated Smad2 or Smad3. Thus, PDPs specifically inactivate Smads in the BMP/DPP pathway.
BackgroundProtein-DNA interaction constitutes a basic mechanism for the genetic regulation of target gene expression. Deciphering this mechanism has been a daunting task due to the difficulty in characterizing protein-bound DNA on a large scale. A powerful technique has recently emerged that couples chromatin immunoprecipitation (ChIP) with next-generation sequencing, (ChIP-Seq). This technique provides a direct survey of the cistrom of transcription factors and other chromatin-associated proteins. In order to realize the full potential of this technique, increasingly sophisticated statistical algorithms have been developed to analyze the massive amount of data generated by this method.ResultsHere we introduce HPeak, a Hidden Markov model (HMM)-based Peak-finding algorithm for analyzing ChIP-Seq data to identify protein-interacting genomic regions. In contrast to the majority of available ChIP-Seq analysis software packages, HPeak is a model-based approach allowing for rigorous statistical inference. This approach enables HPeak to accurately infer genomic regions enriched with sequence reads by assuming realistic probability distributions, in conjunction with a novel weighting scheme on the sequencing read coverage.ConclusionsUsing biologically relevant data collections, we found that HPeak showed a higher prevalence of the expected transcription factor binding motifs in ChIP-enriched sequences relative to the control sequences when compared to other currently available ChIP-Seq analysis approaches. Additionally, in comparison to the ChIP-chip assay, ChIP-Seq provides higher resolution along with improved sensitivity and specificity of binding site detection. Additional file and the HPeak program are freely available at http://www.sph.umich.edu/csg/qin/HPeak.
Highlights d Development of a sensitive and affordable PLpro activity probe d Identification of potential SCoV2 PLpro inhibitors through HTS d Co-crystal structure determination and lead optimization d Characterization of a submicromolar inhibitor of SCoV2
The remodeling of chromatin is required for tissue-specific gene activation to permit interactions of transcription factors and coregulators with their cognate elements. Here, we investigate the chromatin-mediated mechanisms by which the bone-specific osteocalcin (OC) gene is transcriptionally activated during cessation of cell growth in ROS 17/2.8 osteosarcoma cells and during normal osteoblast differentiation. Acetylation of histones H3 and H4 at the OC gene promoter was assayed during the proliferative and postproliferative stages of cell growth by using chromatin immunoprecipitation assays with antibodies that recognize different acetylated forms of histones H3 or H4. The results show that the promoter and coding regions of the OC gene contain very low levels of acetylated histones H3 and H4 during the proliferative period of osteoblast differentiation when the OC gene is inactive. Active expression of the OC gene in mature osteoblasts and confluent ROS 17/2.8 cells is functionally linked to preferential acetylation of histone H4 and, to a lesser extent, to acetylation of histone H3. Histone acetylation at the loci for RUNX2 (CBFA1), alkaline phosphatase, bone sialoprotein, osteopontin, and the cell growth regulator p21, which are expressed throughout osteoblast differentiation, is not altered postproliferatively. We conclude that acetylation of histones H3 and H4 is functionally coupled to the chromatin remodeling events that mediate the developmental induction of OC gene transcription in bone cells.
The accessibility of regulatory elements in chromatin represents a principal rate-limiting parameter of gene transcription and is modulated by enzymatic transcriptional co-factors that alter the topology of chromatin or covalently modify histones (e.g. by acetylation). The bone-specific activation and 1,25-dihydroxyvitamin D 3 enhancement of osteocalcin (OC) gene transcription are both functionally linked to modifications in nucleosomal organization. The initiation of tissue-specific basal transcription is accompanied by the induction of two DNase I hypersensitive sites, and this chromatin remodeling event requires binding of the key osteogenic factor RUNX2/CBFA1 to the OC promoter. Here, we analyzed the acetylation status of histones H3 and H4 when the OC gene is active (in osteoblastic ROS17/2.8 cells) or inactive (in fibroblastic ROS24/1 cells) using chromatin immunoprecipitation assays. We find that acetylated histone H3 and H4 proteins are associated with the OC promoter only when the gene is transcriptionally active and that the acetylation status is relatively uniform across the OC locus under basal conditions. Acetylation of H4 at the OC gene is selectively increased following vitamin D 3 enhancement of OC transcription, with the most prominent changes occurring in the region between the vitamin D 3 enhancer and basal promoter. Thus, our results suggest functional linkage of H3 and H4 acetylation in specific regions of the OC promoter to chromatin remodeling that accompanies tissue-specific transcriptional activation and vitamin D enhancement of OC gene expression. These findings provide mechanistic insights into bone-specific gene activation within a native genomic context in response to steroid hormone-related regulatory cues.Steroid hormones and retinoids (e.g. (1,25)-dihydroxyvitamin D 3 , glucocorticoid, retinoic acid) modulate bone formation and remodeling in vivo at least in part by controlling proliferation and/or differentiation of osteoblasts (1-3). These ligands regulate transcription of genes in osseous cells through receptors that bind as heterodimers to cognate response elements in the promoters of bone related genes (4 -6). The vitamin D 3 receptor (VDR) 1 is a principal regulator of the bone-related osteocalcin (OC) gene and interacts together with the retinoid X receptor to a vitamin D 3 response element (VDRE) located in a distal enhancer region (7-14). (10,16,17,19). Hence, chromatin remodeling is intricately associated with modulations in OC gene transcription in response to bonerelated physiological regulatory cues. The remodeling of chromatin structure is mediated in part by enzymes that topologically alter the interactions of DNA with histone octamers or that covalently modify the core histone proteins H3 and H4 (20 -24). Many co-activators and co-repressors that interact with promoter-bound transcription factors represent chromatin-modifying enzymes capable of acetylating or deacetylating lysine residues in the N termini of histones H3 and H4 (25-29). Therefore, we have assess...
BackgroundSubcellular localization information is one of the key features to protein function research. Locating to a specific subcellular compartment is essential for a protein to function efficiently. Proteins which have multiple localizations will provide more clues. This kind of proteins may take a high proportion, even more than 35%.DescriptionWe have developed a database of proteins with multiple subcellular localizations, designated DBMLoc. The initial release contains 10470 multiple subcellular localization-annotated entries. Annotations are collected from primary protein databases, specific subcellular localization databases and literature texts. All the protein entries are cross-referenced to GO annotations and SwissProt. Protein-protein interactions are also annotated. They are classified into 12 large subcellular localization categories based on GO hierarchical architecture and original annotations. Download, search and sequence BLAST tools are also available on the website.ConclusionDBMLoc is a protein database which collects proteins with more than one subcellular localization annotation. It is freely accessed at .
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