Genomic and Transcriptomic Characterization of the Human Glioblastoma Cell Line AHOL1
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Human RSK4 / RPS6KA6 Protein (GST Tag)
Human RSK4 / RPS6KA6 Protein (GST Tag) Catalog Number: 10147-H09B General Information SDS-PAGE: Gene Name Synonym: PP90RSK4; RSK4 Protein Construction: A DNA sequence encoding the full length of human RSK4 (NP_055311.1) (Met 1-Leu 745) was fused with the GST tag at the N-terminus. Source: Human Expression Host: Baculovirus-Insect Cells QC Testing Purity: > 85 % as determined by SDS-PAGE Bio Activity: Protein Description No Kinase Activity Ribosomal protein S6 kinase alpha-6, also known as Ribosomal S6 kinase Endotoxin: 4, 90 kDa ribosomal protein S6 kinase 6,RSK-4, RSK4 and RPS6KA6, is a protein which belongs to theprotein kinase superfamily, AGC Ser/Thr < 1.0 EU per μg of the protein as determined by the LAL method protein kinase family and S6 kinase subfamily. RPS6KA6 contains oneAGC-kinase C-terminal domain and twoprotein kinase domains. Stability: RPS6KA6 forms a complex with either ERK1 or ERK2 in quiescent cells. Samples are stable for up to twelve months from date of receipt at -70 ℃ RPS6KA6 shows a high level of homology to three isolated members of the human RSK family. RSK2 is involved in Coffin-Lowry syndrome and Predicted N terminal: Met nonspecific MRX. The localization of RPS6KA6 in the interval that is commonly deleted in mentally retarded males together with the high degree Molecular Mass: of amino acid identity with RSK2 suggests that RPS6KA6 plays a role in normal neuronal development. Further mutation analyses in males with X- The recombinant human RSK4/GST chimera consists of 972 amino acids and linked mental retardation must prove that the gene of RPS6KA6 is indeed a migrates as an approximately 110 kDa band as predicted in SDS-PAGE under novel MRX gene. -
Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Blueprint Genetics ANOS1 Single Gene Test
ANOS1 single gene test Test code: S00125 Phenotype information Kallmann syndrome Alternative gene names KALIG-1, WFDC19 Some regions of the gene are duplicated in the genome leading to limited sensitivity within the regions. Thus, low-quality variants are filtered out from the duplicated regions and only high-quality variants confirmed by other methods are reported out. Read more. Panels that include the ANOS1 gene Kallmann Syndrome Panel Abnormal Genitalia/ Disorders of Sex Development Panel Test Strengths The strengths of this test include: CAP accredited laboratory CLIA-certified personnel performing clinical testing in a CLIA-certified laboratory Powerful sequencing technologies, advanced target enrichment methods and precision bioinformatics pipelines ensure superior analytical performance Careful construction of clinically effective and scientifically justified gene panels Our Nucleus online portal providing transparent and easy access to quality and performance data at the patient level Our publicly available analytic validation demonstrating complete details of test performance ~2,000 non-coding disease causing variants in our clinical grade NGS assay for panels (please see ‘Non-coding disease causing variants covered by this test’) Our rigorous variant classification scheme Our systematic clinical interpretation workflow using proprietary software enabling accurate and traceable processing of NGS data Our comprehensive clinical statements Test Limitations This test does not detect the following: Complex inversions Gene conversions -
Chromatin State Barriers Enforce an Irreversible Mammalian Cell Fate Decision
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.12.443709; this version posted May 14, 2021. 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. Chromatin state barriers… Blanco et al. 2021 Chromatin state barriers enforce an irreversible mammalian cell fate decision M. Andrés Blanco1,19,*,†,, David B. Sykes6,8,19, Lei Gu2,15,17,18,19, Mengjun Wu2,4,15, Ricardo Petroni1, Rahul Karnik7,8,9, Mathias Wawer10, Joshua Rico1, Haitao Li1, William D. Jacobus2,12,15, Ashwini Jambhekar2,15,11, Sihem Cheloufi5, Alexander Meissner7,8,9,13, Konrad Hochedlinger6,7,8,14, David T. Scadden6,8,9,*, and Yang Shi2,3,* 1 Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA 2 Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA 3 Ludwig Institute for Cancer Research, Oxford Branch, Oxford University, UK 4 Current address: The Bioinformatics Centre, Department of Biology and Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark 5 Department of Biochemistry, Stem Cell Center, University of California, Riverside, Riverside, CA 92521, USA. 6 Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA. 7 Broad Institute of MIT and Harvard, Cambridge, MA, USA 8 Harvard Stem Cell Institute, Cambridge, Massachusetts, -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Bppart and Bpmax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model
BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model Ali Ebrahimpour-Boroojeny, Sanjay Rajopadhye, and Hamidreza Chitsaz ∗ Department of Computer Science, Colorado State University Abstract A few elite classes of RNA-RNA interaction (RRI), with complex roles in cellular functions such as miRNA-target and lncRNAs in human health, have already been studied. Accordingly, RRI bioinfor- matics tools tailored for those elite classes have been proposed in the last decade. Interestingly, there are somewhat unnoticed mRNA-mRNA interactions in the literature with potentially drastic biological roles. Hence, there is a need for high-throughput generic RRI bioinformatics tools. We revisit our RRI partition function algorithm, piRNA, which happens to be the most comprehensive and computationally-intensive thermodynamic model for RRI. We propose simpler models that are shown to retain the vast majority of the thermodynamic information that piRNA captures. We simplify the energy model and instead consider only weighted base pair counting to obtain BPPart for Base-pair Partition function and BPMax for Base-pair Maximization which are 225 and 1350 faster ◦ × × than piRNA, with a correlation of 0.855 and 0.836 with piRNA at 37 C on 50,500 experimentally charac- terized RRIs. This correlation increases to 0.920 and 0.904, respectively, at 180◦C. − Finally, we apply our algorithm BPPart to discover two disease-related RNAs, SNORD3D and TRAF3, and hypothesize their potential roles in Parkinson's disease and Cerebral Autosomal Dominant Arteri- opathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL). 1 Introduction Since mid 1990s with the advent of RNA interference discovery, RNA-RNA interaction (RRI) has moved to the spotlight in modern, post-genome biology. -
Novel Mutations in ANOS1 and FGFR1 Genes Agnieszka Gach1* , Iwona Pinkier1, Maria Szarras-Czapnik2, Agata Sakowicz3 and Lucjusz Jakubowski1
Gach et al. Reproductive Biology and Endocrinology (2020) 18:8 https://doi.org/10.1186/s12958-020-0568-6 RESEARCH Open Access Expanding the mutational spectrum of monogenic hypogonadotropic hypogonadism: novel mutations in ANOS1 and FGFR1 genes Agnieszka Gach1* , Iwona Pinkier1, Maria Szarras-Czapnik2, Agata Sakowicz3 and Lucjusz Jakubowski1 Abstract Background: Congenital hypogonadotropic hypogonadism (CHH) is a rare disease, triggered by defective GnRH secretion, that is usually diagnosed in late adolescence or early adulthood due to the lack of spontaneous pubertal development. To date more than 30 genes have been associated with CHH pathogenesis with X-linked recessive, autosomal dominant, autosomal recessive and oligogenic modes of inheritance. Defective sense of smell is present in about 50–60% of CHH patients and called Kallmann syndrome (KS), in contrast to patients with normal sense of smell referred to as normosmic CHH. ANOS1 and FGFR1 genes are all well established in the pathogenesis of CHH and have been extensively studied in many reported cohorts. Due to rarity and heterogenicity of the condition the mutational spectrum, even in classical CHH genes, have yet to be fully characterized. Methods: To address this issue we screened for ANOS1 and FGFR1 variants in a cohort of 47 unrelated CHH subjects using targeted panel sequencing. All potentially pathogenic variants have been validated with Sanger sequencing. Results: Sequencing revealed two ANOS1 and four FGFR1 mutations in six subjects, of which five are novel and one had been previously reported in CHH. Novel variants include a single base pair deletion c.313delT in exon 3 of ANOS1, three missense variants of FGFR1 predicted to result in the single amino acid substitutions c.331C > T (p.R111C), c.1964 T > C (p.L655P) and c.2167G > A (p.E723K) and a 15 bp deletion c.374_388delTGCCCGCAGACTCCG in exon 4 of FGFR1. -
Figure S1. Representative Report Generated by the Ion Torrent System Server for Each of the KCC71 Panel Analysis and Pcafusion Analysis
Figure S1. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. A Figure S1. Continued. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. B Figure S2. Comparative analysis of the variant frequency found by the KCC71 panel and calculated from publicly available cBioPortal datasets. For each of the 71 genes in the KCC71 panel, the frequency of variants was calculated as the variant number found in the examined cases. Datasets marked with different colors and sample numbers of prostate cancer are presented in the upper right. *Significantly high in the present study. Figure S3. Seven subnetworks extracted from each of seven public prostate cancer gene networks in TCNG (Table SVI). Blue dots represent genes that include initial seed genes (parent nodes), and parent‑child and child‑grandchild genes in the network. Graphical representation of node‑to‑node associations and subnetwork structures that differed among and were unique to each of the seven subnetworks. TCNG, The Cancer Network Galaxy. Figure S4. REVIGO tree map showing the predicted biological processes of prostate cancer in the Japanese. Each rectangle represents a biological function in terms of a Gene Ontology (GO) term, with the size adjusted to represent the P‑value of the GO term in the underlying GO term database. -
Gene Expression Profiling of Corpus Luteum Reveals the Importance Of
bioRxiv preprint doi: https://doi.org/10.1101/673558; this version posted February 27, 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. 1 Gene expression profiling of corpus luteum reveals the 2 importance of immune system during early pregnancy in 3 domestic sheep. 4 Kisun Pokharel1, Jaana Peippo2 Melak Weldenegodguad1, Mervi Honkatukia2, Meng-Hua Li3*, Juha 5 Kantanen1* 6 1 Natural Resources Institute Finland (Luke), Jokioinen, Finland 7 2 Nordgen – The Nordic Genetic Resources Center, Ås, Norway 8 3 College of Animal Science and Technology, China Agriculture University, Beijing, China 9 * Correspondence: MHL, [email protected]; JK, [email protected] 10 Abstract: The majority of pregnancy loss in ruminants occurs during the preimplantation stage, which is thus 11 the most critical period determining reproductive success. While ovulation rate is the major determinant of 12 litter size in sheep, interactions among the conceptus, corpus luteum and endometrium are essential for 13 pregnancy success. Here, we performed a comparative transcriptome study by sequencing total mRNA from 14 corpus luteum (CL) collected during the preimplantation stage of pregnancy in Finnsheep, Texel and F1 15 crosses, and mapping the RNA-Seq reads to the latest Rambouillet reference genome. A total of 21,287 genes 16 were expressed in our dataset. Highly expressed autosomal genes in the CL were associated with biological 17 processes such as progesterone formation (STAR, CYP11A1, and HSD3B1) and embryo implantation (eg. -
Molecular Effects of Isoflavone Supplementation Human Intervention Studies and Quantitative Models for Risk Assessment
Molecular effects of isoflavone supplementation Human intervention studies and quantitative models for risk assessment Vera van der Velpen Thesis committee Promotors Prof. Dr Pieter van ‘t Veer Professor of Nutritional Epidemiology Wageningen University Prof. Dr Evert G. Schouten Emeritus Professor of Epidemiology and Prevention Wageningen University Co-promotors Dr Anouk Geelen Assistant professor, Division of Human Nutrition Wageningen University Dr Lydia A. Afman Assistant professor, Division of Human Nutrition Wageningen University Other members Prof. Dr Jaap Keijer, Wageningen University Dr Hubert P.J.M. Noteborn, Netherlands Food en Consumer Product Safety Authority Prof. Dr Yvonne T. van der Schouw, UMC Utrecht Dr Wendy L. Hall, King’s College London This research was conducted under the auspices of the Graduate School VLAG (Advanced studies in Food Technology, Agrobiotechnology, Nutrition and Health Sciences). Molecular effects of isoflavone supplementation Human intervention studies and quantitative models for risk assessment Vera van der Velpen Thesis submitted in fulfilment of the requirements for the degree of doctor at Wageningen University by the authority of the Rector Magnificus Prof. Dr M.J. Kropff, in the presence of the Thesis Committee appointed by the Academic Board to be defended in public on Friday 20 June 2014 at 13.30 p.m. in the Aula. Vera van der Velpen Molecular effects of isoflavone supplementation: Human intervention studies and quantitative models for risk assessment 154 pages PhD thesis, Wageningen University, Wageningen, NL (2014) With references, with summaries in Dutch and English ISBN: 978-94-6173-952-0 ABSTRact Background: Risk assessment can potentially be improved by closely linked experiments in the disciplines of epidemiology and toxicology. -
1 Meiotic Sex Chromosome Inactivation Is Disrupted in Sterile
Genetics: Early Online, published on January 10, 2013 as 10.1534/genetics.112.148635 Meiotic sex chromosome inactivation is disrupted in sterile hybrid male house mice Polly Campbell*,1, Jeffrey M. Good§, and Michael W. Nachman* *Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721 §Division of Biological Sciences, University of Montana, Missoula, Montana 59812 1 Copyright 2013. Running head: Disrupted X inactivation in hybrid male mice Keywords: Haldane’s rule, meiosis, postmeiotic sex chromatin, speciation, spermatogenesis 1Corresponding author: Department of Ecology and Evolutionary Biology, Biosciences West 333, 1041 E Lowell St., University of Arizona, Tucson, AZ 85721. E-mail: [email protected] 2 ABSTRACT In male mammals, the X and Y chromosomes are transcriptionally silenced in primary spermatocytes by meiotic sex chromosome inactivation (MSCI) and remain repressed for the duration of spermatogenesis. Here, we test the longstanding hypothesis that disrupted MSCI might contribute to the preferential sterility of heterogametic hybrid males. We studied a cross between wild-derived inbred strains of Mus musculus musculus and M. m. domesticus in which sterility is asymmetric: F1 males with a M. m. musculus mother are sterile or nearly so while F1 males with a M. m. domesticus mother are normal. In previous work, we discovered widespread over-expression of X-linked genes in the testes of sterile but not fertile F1 males. Here, we ask whether this over-expression is specifically a result of disrupted MSCI. To do this, we isolated cells from different stages of spermatogenesis and measured the expression of several genes using quantitative PCR. We found that X over-expression in sterile F1 primary spermatocytes is coincident with the onset of MSCI and persists in postmeiotic spermatids. -
A Dissertation Entitled the Androgen Receptor
A Dissertation entitled The Androgen Receptor as a Transcriptional Co-activator: Implications in the Growth and Progression of Prostate Cancer By Mesfin Gonit Submitted to the Graduate Faculty as partial fulfillment of the requirements for the PhD Degree in Biomedical science Dr. Manohar Ratnam, Committee Chair Dr. Lirim Shemshedini, Committee Member Dr. Robert Trumbly, Committee Member Dr. Edwin Sanchez, Committee Member Dr. Beata Lecka -Czernik, Committee Member Dr. Patricia R. Komuniecki, Dean College of Graduate Studies The University of Toledo August 2011 Copyright 2011, Mesfin Gonit This document is copyrighted material. Under copyright law, no parts of this document may be reproduced without the expressed permission of the author. An Abstract of The Androgen Receptor as a Transcriptional Co-activator: Implications in the Growth and Progression of Prostate Cancer By Mesfin Gonit As partial fulfillment of the requirements for the PhD Degree in Biomedical science The University of Toledo August 2011 Prostate cancer depends on the androgen receptor (AR) for growth and survival even in the absence of androgen. In the classical models of gene activation by AR, ligand activated AR signals through binding to the androgen response elements (AREs) in the target gene promoter/enhancer. In the present study the role of AREs in the androgen- independent transcriptional signaling was investigated using LP50 cells, derived from parental LNCaP cells through extended passage in vitro. LP50 cells reflected the signature gene overexpression profile of advanced clinical prostate tumors. The growth of LP50 cells was profoundly dependent on nuclear localized AR but was independent of androgen. Nevertheless, in these cells AR was unable to bind to AREs in the absence of androgen.