A Review of Orofacial Clefting and Current Genetic Mouse Models 125
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In Silico Prediction of High-Resolution Hi-C Interaction Matrices
ARTICLE https://doi.org/10.1038/s41467-019-13423-8 OPEN In silico prediction of high-resolution Hi-C interaction matrices Shilu Zhang1, Deborah Chasman 1, Sara Knaack1 & Sushmita Roy1,2* The three-dimensional (3D) organization of the genome plays an important role in gene regulation bringing distal sequence elements in 3D proximity to genes hundreds of kilobases away. Hi-C is a powerful genome-wide technique to study 3D genome organization. Owing to 1234567890():,; experimental costs, high resolution Hi-C datasets are limited to a few cell lines. Computa- tional prediction of Hi-C counts can offer a scalable and inexpensive approach to examine 3D genome organization across multiple cellular contexts. Here we present HiC-Reg, an approach to predict contact counts from one-dimensional regulatory signals. HiC-Reg pre- dictions identify topologically associating domains and significant interactions that are enri- ched for CCCTC-binding factor (CTCF) bidirectional motifs and interactions identified from complementary sources. CTCF and chromatin marks, especially repressive and elongation marks, are most important for HiC-Reg’s predictive performance. Taken together, HiC-Reg provides a powerful framework to generate high-resolution profiles of contact counts that can be used to study individual locus level interactions and higher-order organizational units of the genome. 1 Wisconsin Institute for Discovery, 330 North Orchard Street, Madison, WI 53715, USA. 2 Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53715, USA. *email: [email protected] NATURE COMMUNICATIONS | (2019) 10:5449 | https://doi.org/10.1038/s41467-019-13423-8 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-13423-8 he three-dimensional (3D) organization of the genome has Results Temerged as an important component of the gene regulation HiC-Reg for predicting contact count using Random Forests. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Itcs) in the Mouse Amygdala of Tshz1 Mutants Correlates with Fear, Depression, and Social Interaction Phenotypes
1160 • The Journal of Neuroscience, January 31, 2018 • 38(5):1160–1177 Development/Plasticity/Repair Loss of Intercalated Cells (ITCs) in the Mouse Amygdala of Tshz1 Mutants Correlates with Fear, Depression, and Social Interaction Phenotypes X Jeffrey Kuerbitz,1 Melinda Arnett,5 Sarah Ehrman,1 XMichael T. Williams,3 XCharles V. Vorhees,3 X Simon E. Fisher,6,7 Alistair N. Garratt,8 XLouis J. Muglia,5 Ronald R. Waclaw,1,4 and XKenneth Campbell1,2 Divisions of 1Developmental Biology, 2Neurosurgery, 3Neurology, 4Experimental Hematology and Cancer Biology, 5Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH 45229, 6Language and Genetics Department, Max Planck Institute for Psycholinguistics, 6500 AH Nijmegen, The Netherlands, 7Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands, and 8Institute of Cell Biology and Neurobiology, Center for Anatomy, Charite´ University Hospital Berlin, 10117 Berlin, Germany The intercalated cells (ITCs) of the amygdala have been shown to be critical regulatory components of amygdalar circuits, which control appropriate fear responses. Despite this, the molecular processes guiding ITC development remain poorly understood. Here we establish the zinc finger transcription factor Tshz1 as a marker of ITCs during their migration from the dorsal lateral ganglionic eminence through maturity. Using germline and conditional knock-out (cKO) mouse models, we show that Tshz1 is required for the proper migration and differentiation of ITCs. In the absence of Tshz1, migrating ITC precursors fail to settle in their stereotypical locations encapsulating the lateral amygdala and BLA. Furthermore, they display reductions in the ITC marker Foxp2 and ectopic persistence of the dorsal lateral ganglionic eminence marker Sp8. -
NPRL3 Gene NPR3 Like, GATOR1 Complex Subunit
NPRL3 gene NPR3 like, GATOR1 complex subunit Normal Function The NPRL3 gene provides instructions for making a protein that is one piece of a group of proteins (complex) called GATOR1. This complex is found in cells throughout the body, where it regulates a signaling pathway called the mTOR pathway. The mTOR pathway is involved in cell growth and division (proliferation), the survival of cells, and the creation (synthesis) of new proteins. The role of the GATOR1 complex is to block this pathway by inhibiting (stopping) the activity of a complex called mTOR complex 1 ( mTORC1) that is integral to the mTOR pathway. In the brain, the mTOR pathway regulates many processes, including the growth and development of nerve cells and their ability to change and adapt over time (plasticity). Health Conditions Related to Genetic Changes Familial focal epilepsy with variable foci At least ten NPRL3 gene mutations have been found to cause familial focal epilepsy with variable foci (FFEVF), which is an uncommon form of recurrent seizures (epilepsy) that runs in families. Most of these mutations lead to the production of an abnormally short, nonfunctional protein. As a result, formation of normal GATOR1 complex is reduced, leading to overactivity of mTORC1 and excessive signaling of the mTOR pathway. It is not clear how an abnormally active mTOR pathway leads to the seizures of FFEVF. Research suggests that increased mTOR pathway signaling in the brain leads to changes in the connections between nerve cells (synapses) and increased activation (excitation) -
Identification of C3 As a Therapeutic Target for Diabetic Nephropathy By
www.nature.com/scientificreports OPEN Identifcation of C3 as a therapeutic target for diabetic nephropathy by bioinformatics analysis ShuMei Tang, XiuFen Wang, TianCi Deng, HuiPeng Ge & XiangCheng Xiao* The pathogenesis of diabetic nephropathy is not completely understood, and the efects of existing treatments are not satisfactory. Various public platforms already contain extensive data for deeper bioinformatics analysis. From the GSE30529 dataset based on diabetic nephropathy tubular samples, we identifed 345 genes through diferential expression analysis and weighted gene coexpression correlation network analysis. GO annotations mainly included neutrophil activation, regulation of immune efector process, positive regulation of cytokine production and neutrophil-mediated immunity. KEGG pathways mostly included phagosome, complement and coagulation cascades, cell adhesion molecules and the AGE-RAGE signalling pathway in diabetic complications. Additional datasets were analysed to understand the mechanisms of diferential gene expression from an epigenetic perspective. Diferentially expressed miRNAs were obtained to construct a miRNA-mRNA network from the miRNA profles in the GSE57674 dataset. The miR-1237-3p/SH2B3, miR-1238-5p/ ZNF652 and miR-766-3p/TGFBI axes may be involved in diabetic nephropathy. The methylation levels of the 345 genes were also tested based on the gene methylation profles of the GSE121820 dataset. The top 20 hub genes in the PPI network were discerned using the CytoHubba tool. Correlation analysis with GFR showed that SYK, CXCL1, LYN, VWF, ANXA1, C3, HLA-E, RHOA, SERPING1, EGF and KNG1 may be involved in diabetic nephropathy. Eight small molecule compounds were identifed as potential therapeutic drugs using Connectivity Map. It is estimated that a total of 451 million people sufered from diabetes by 2017, and the number is speculated to be 693 million by 2045 1. -
A Flexible Microfluidic System for Single-Cell Transcriptome Profiling
www.nature.com/scientificreports OPEN A fexible microfuidic system for single‑cell transcriptome profling elucidates phased transcriptional regulators of cell cycle Karen Davey1,7, Daniel Wong2,7, Filip Konopacki2, Eugene Kwa1, Tony Ly3, Heike Fiegler2 & Christopher R. Sibley 1,4,5,6* Single cell transcriptome profling has emerged as a breakthrough technology for the high‑resolution understanding of complex cellular systems. Here we report a fexible, cost‑efective and user‑ friendly droplet‑based microfuidics system, called the Nadia Instrument, that can allow 3′ mRNA capture of ~ 50,000 single cells or individual nuclei in a single run. The precise pressure‑based system demonstrates highly reproducible droplet size, low doublet rates and high mRNA capture efciencies that compare favorably in the feld. Moreover, when combined with the Nadia Innovate, the system can be transformed into an adaptable setup that enables use of diferent bufers and barcoded bead confgurations to facilitate diverse applications. Finally, by 3′ mRNA profling asynchronous human and mouse cells at diferent phases of the cell cycle, we demonstrate the system’s ability to readily distinguish distinct cell populations and infer underlying transcriptional regulatory networks. Notably this provided supportive evidence for multiple transcription factors that had little or no known link to the cell cycle (e.g. DRAP1, ZKSCAN1 and CEBPZ). In summary, the Nadia platform represents a promising and fexible technology for future transcriptomic studies, and other related applications, at cell resolution. Single cell transcriptome profling has recently emerged as a breakthrough technology for understanding how cellular heterogeneity contributes to complex biological systems. Indeed, cultured cells, microorganisms, biopsies, blood and other tissues can be rapidly profled for quantifcation of gene expression at cell resolution. -
Table SI. Genes Upregulated ≥ 2-Fold by MIH 2.4Bl Treatment Affymetrix ID
Table SI. Genes upregulated 2-fold by MIH 2.4Bl treatment Fold UniGene ID Description Affymetrix ID Entrez Gene Change 1558048_x_at 28.84 Hs.551290 231597_x_at 17.02 Hs.720692 238825_at 10.19 93953 Hs.135167 acidic repeat containing (ACRC) 203821_at 9.82 1839 Hs.799 heparin binding EGF like growth factor (HBEGF) 1559509_at 9.41 Hs.656636 202957_at 9.06 3059 Hs.14601 hematopoietic cell-specific Lyn substrate 1 (HCLS1) 202388_at 8.11 5997 Hs.78944 regulator of G-protein signaling 2 (RGS2) 213649_at 7.9 6432 Hs.309090 serine and arginine rich splicing factor 7 (SRSF7) 228262_at 7.83 256714 Hs.127951 MAP7 domain containing 2 (MAP7D2) 38037_at 7.75 1839 Hs.799 heparin binding EGF like growth factor (HBEGF) 224549_x_at 7.6 202672_s_at 7.53 467 Hs.460 activating transcription factor 3 (ATF3) 243581_at 6.94 Hs.659284 239203_at 6.9 286006 Hs.396189 leucine rich single-pass membrane protein 1 (LSMEM1) 210800_at 6.7 1678 translocase of inner mitochondrial membrane 8 homolog A (yeast) (TIMM8A) 238956_at 6.48 1943 Hs.741510 ephrin A2 (EFNA2) 242918_at 6.22 4678 Hs.319334 nuclear autoantigenic sperm protein (NASP) 224254_x_at 6.06 243509_at 6 236832_at 5.89 221442 Hs.374076 adenylate cyclase 10, soluble pseudogene 1 (ADCY10P1) 234562_x_at 5.89 Hs.675414 214093_s_at 5.88 8880 Hs.567380; far upstream element binding protein 1 (FUBP1) Hs.707742 223774_at 5.59 677825 Hs.632377 small nucleolar RNA, H/ACA box 44 (SNORA44) 234723_x_at 5.48 Hs.677287 226419_s_at 5.41 6426 Hs.710026; serine and arginine rich splicing factor 1 (SRSF1) Hs.744140 228967_at 5.37 -
Rabbit Anti-CDCA5/FITC Conjugated Antibody
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-CDCA5/FITC Conjugated antibody SL7717R-FITC Product Name: Anti-CDCA5/FITC Chinese Name: FITC标记的细胞分裂周期相关蛋白5抗体 Alias: Cell division cycle associated protein 5; MGC16386; p35; Sororin; CDCA5_HUMAN. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Dog,Pig,Cow,Horse,Rabbit, Flow-Cyt=1:50-200IF=1:50-200 Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 28kDa Form: Lyophilized or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human CDCA5 Lsotype: IgG Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibodywww.sunlongbiotech.com is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. background: Sororin, also designated cell division cycle-associated protein 5 (CDCA5) or p35, functions as a regulator of sister chromatid cohesion during mitosis. It interacts with the APC/C complex and is found in a complex consisting of cohesion components SCC- 112, MC1L1, SMC3L1, RAD21 and APRIN. The deduced human and mouse Sororin Product Detail: proteins consist of 252 and 264 amino acid residues, respectively, and both contain a KEN box for APC-dependent ubiquitination. -
HS2ST1 Maxpab Mouse Polyclonal Antibody (B01)
HS2ST1 MaxPab mouse polyclonal antibody (B01) Catalog # : H00009653-B01 規格 : [ 50 uL ] List All Specification Application Image Product Mouse polyclonal antibody raised against a full-length human HS2ST1 Western Blot (Tissue lysate) Description: protein. Immunogen: HS2ST1 (AAH25990.1, 1 a.a. ~ 229 a.a) full-length human protein. Sequence: MGLLRIMMPPKLQLLAVVAFAVAMLFLENQIQKLEESRSKLERAIARHEVR EIEQRHTMDGPRQDATLDEEEDMVIIYNRVPKTASTSFTNIAYDLCAKNKY enlarge HVLHINTTKNNPVMSLQDQVRFVKNITSWKEMKPGFYHGHVSYLDFAKF GVKKKPIYINVIRDPIERLVSYYYFLRFGDDYRPGLRRRKQGDKKTFDEC Western Blot (Transfected VAEGGSDCAPEKLWLQIPFFCGHSSECW lysate) Host: Mouse Reactivity: Human Quality Control Antibody reactive against mammalian transfected lysate. Testing: enlarge Storage Buffer: No additive Storage Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. Instruction: Note: For IHC and IF applications, antibody purification with Protein A will be needed prior to use. Datasheet: Download Applications Western Blot (Tissue lysate) HS2ST1 MaxPab polyclonal antibody. Western Blot analysis of HS2ST1 expression in human liver. Protocol Download Western Blot (Transfected lysate) Page 1 of 3 2016/5/22 Western Blot analysis of HS2ST1 expression in transfected 293T cell line (H00009653- T01) by HS2ST1 MaxPab polyclonal antibody. Lane 1: HS2ST1 transfected lysate(25.19 KDa). Lane 2: Non-transfected lysate. Protocol Download Gene Information Entrez GeneID: 9653 GeneBank BC025990.1 Accession#: Protein AAH25990.1 Accession#: Gene Name: HS2ST1 Gene Alias: FLJ11317,KIAA0448,MGC131986,dJ604K5.2 Gene heparan sulfate 2-O-sulfotransferase 1 Description: Omim ID: 604844 Gene Ontology: Hyperlink Gene Summary: Heparan sulfate biosynthetic enzymes are key components in generating a myriad of distinct heparan sulfate fine structures that carry out multiple biologic activities. This gene encodes a member of the heparan sulfate biosynthetic enzyme family that transfers sulfate to the 2 position of the iduronic acid residue of heparan sulfate. -
Repetitive Elements in Humans
International Journal of Molecular Sciences Review Repetitive Elements in Humans Thomas Liehr Institute of Human Genetics, Jena University Hospital, Friedrich Schiller University, Am Klinikum 1, D-07747 Jena, Germany; [email protected] Abstract: Repetitive DNA in humans is still widely considered to be meaningless, and variations within this part of the genome are generally considered to be harmless to the carrier. In contrast, for euchromatic variation, one becomes more careful in classifying inter-individual differences as meaningless and rather tends to see them as possible influencers of the so-called ‘genetic background’, being able to at least potentially influence disease susceptibilities. Here, the known ‘bad boys’ among repetitive DNAs are reviewed. Variable numbers of tandem repeats (VNTRs = micro- and minisatellites), small-scale repetitive elements (SSREs) and even chromosomal heteromorphisms (CHs) may therefore have direct or indirect influences on human diseases and susceptibilities. Summarizing this specific aspect here for the first time should contribute to stimulating more research on human repetitive DNA. It should also become clear that these kinds of studies must be done at all available levels of resolution, i.e., from the base pair to chromosomal level and, importantly, the epigenetic level, as well. Keywords: variable numbers of tandem repeats (VNTRs); microsatellites; minisatellites; small-scale repetitive elements (SSREs); chromosomal heteromorphisms (CHs); higher-order repeat (HOR); retroviral DNA 1. Introduction Citation: Liehr, T. Repetitive In humans, like in other higher species, the genome of one individual never looks 100% Elements in Humans. Int. J. Mol. Sci. alike to another one [1], even among those of the same gender or between monozygotic 2021, 22, 2072. -
Low Tolerance for Transcriptional Variation at Cohesin Genes Is Accompanied by Functional Links to Disease-Relevant Pathways
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.11.037358; this version posted April 13, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Title Low tolerance for transcriptional variation at cohesin genes is accompanied by functional links to disease-relevant pathways Authors William Schierdingǂ1, Julia Horsfieldǂ2,3, Justin O’Sullivan1,3,4 ǂTo whom correspondence should be addressed. 1 Liggins Institute, The University of Auckland, Auckland, New Zealand 2 Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand 3 The Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Auckland, New Zealand 4 MRC Lifecourse Epidemiology Unit, University of Southampton Acknowledgements This work was supported by a Royal Society of New Zealand Marsden Grant to JH and JOS (16-UOO- 072), and WS was supported by the same grant. Contributions WS planned the study, performed analyses, and drafted the manuscript. JH and JOS revised the manuscript. Competing interests None declared. bioRxiv preprint doi: https://doi.org/10.1101/2020.04.11.037358; this version posted April 13, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract Variants in DNA regulatory elements can alter the regulation of distant genes through spatial- regulatory connections. -
Gene Regulation by Cohesin in Cancer: Is the Ring an Unexpected Party to Proliferation?
Published OnlineFirst September 22, 2011; DOI: 10.1158/1541-7786.MCR-11-0382 Molecular Cancer Review Research Gene Regulation by Cohesin in Cancer: Is the Ring an Unexpected Party to Proliferation? Jenny M. Rhodes, Miranda McEwan, and Julia A. Horsfield Abstract Cohesin is a multisubunit protein complex that plays an integral role in sister chromatid cohesion, DNA repair, and meiosis. Of significance, both over- and underexpression of cohesin are associated with cancer. It is generally believed that cohesin dysregulation contributes to cancer by leading to aneuploidy or chromosome instability. For cancers with loss of cohesin function, this idea seems plausible. However, overexpression of cohesin in cancer appears to be more significant for prognosis than its loss. Increased levels of cohesin subunits correlate with poor prognosis and resistance to drug, hormone, and radiation therapies. However, if there is sufficient cohesin for sister chromatid cohesion, overexpression of cohesin subunits should not obligatorily lead to aneuploidy. This raises the possibility that excess cohesin promotes cancer by alternative mechanisms. Over the last decade, it has emerged that cohesin regulates gene transcription. Recent studies have shown that gene regulation by cohesin contributes to stem cell pluripotency and cell differentiation. Of importance, cohesin positively regulates the transcription of genes known to be dysregulated in cancer, such as Runx1, Runx3, and Myc. Furthermore, cohesin binds with estrogen receptor a throughout the genome in breast cancer cells, suggesting that it may be involved in the transcription of estrogen-responsive genes. Here, we will review evidence supporting the idea that the gene regulation func- tion of cohesin represents a previously unrecognized mechanism for the development of cancer.