BRG1 Knockdown Inhibits Proliferation Through Multiple Cellular Pathways in Prostate Cancer Katherine A
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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. -
Isyte: Integrated Systems Tool for Eye Gene Discovery
Lens iSyTE: Integrated Systems Tool for Eye Gene Discovery Salil A. Lachke,1,2,3,4 Joshua W. K. Ho,1,4,5 Gregory V. Kryukov,1,4,6 Daniel J. O’Connell,1 Anton Aboukhalil,1,7 Martha L. Bulyk,1,8,9 Peter J. Park,1,5,10 and Richard L. Maas1 PURPOSE. To facilitate the identification of genes associated ther investigation. Extension of this approach to other ocular with cataract and other ocular defects, the authors developed tissue components will facilitate eye disease gene discovery. and validated a computational tool termed iSyTE (integrated (Invest Ophthalmol Vis Sci. 2012;53:1617–1627) DOI: Systems Tool for Eye gene discovery; http://bioinformatics. 10.1167/iovs.11-8839 udel.edu/Research/iSyTE). iSyTE uses a mouse embryonic lens gene expression data set as a bioinformatics filter to select candidate genes from human or mouse genomic regions impli- ven with the advent of high-throughput sequencing, the cated in disease and to prioritize them for further mutational Ediscovery of genes associated with congenital birth defects and functional analyses. such as eye defects remains a challenge. We sought to develop METHODS. Microarray gene expression profiles were obtained a straightforward experimental approach that could facilitate for microdissected embryonic mouse lens at three key devel- the identification of candidate genes for developmental disor- opmental time points in the transition from the embryonic day ders, and, as proof-of-principle, we chose defects involving the (E)10.5 stage of lens placode invagination to E12.5 lens primary ocular lens. Opacification of the lens results in cataract, a leading cause of blindness that affects 77 million persons and fiber cell differentiation. -
TOX2 Is Differentially Expressed in Non-Small Cell Lung Cancer-PDF 092220
1 Tox2 is differentially expressed in non-small cell lung cancer and associates with patient 2 survival. 3 Shahan Mamoor1 4 [email protected] East Islip, NY USA 5 6 Non-small cell lung cancer (NSCLC) is the leading cause of cancer death in the United States1. 7 We mined published microarray data2,3,4 to identify differentially expressed genes in NSCLC. 8 We found that the gene encoding the thymyocyte selection-associated high mobility box protein 9 family member 2 transcription factor Tox2 was among the genes whose expression was most quantitatively different in tumors from patients with NSCLC as compared to the lung. Tox2 10 expression was significantly decreased in NSCLC tumors as compared to the lung, and lower 11 expression of Tox2 in patient tumors was significantly associated with worse overall survival. Tox2 may be important for initiation or progression of non-small cell lung cancer in humans. 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 Keywords: Tox2, NSCLC, non-small cell lung cancer, systems biology of NSCLC, targeted 27 therapeutics in NSCLC. 28 1 OF 16 1 In 2016, lung cancer resulted in the death of 158,000 Americans; 81% of all patients 2 diagnosed with lung cancer will expire within 5 years5. Non-small cell lung cancer (NSCLC) is 3 4 the most common type of lung cancer, diagnosed in 84% of patients with lung cancer, and 76% 5 of all patients with NSCLC will expire within 5 years5. The rational development of targeted 6 therapeutics to treat patients with NSCLC can be supported by an enhanced understanding of 7 8 fundamental transcriptional features of NSCLC tumors. -
TOX As a Potential Target for Immunotherapy in Lymphocytic Malignancies Chaofeng Liang1,2, Shuxin Huang1, Yujie Zhao1, Shaohua Chen1* and Yangqiu Li1*
Liang et al. Biomarker Research (2021) 9:20 https://doi.org/10.1186/s40364-021-00275-y REVIEW Open Access TOX as a potential target for immunotherapy in lymphocytic malignancies Chaofeng Liang1,2, Shuxin Huang1, Yujie Zhao1, Shaohua Chen1* and Yangqiu Li1* Abstract TOX (thymocyte selection-associated HMG BOX) is a member of a family of transcriptional factors that contain the highly conserved high mobility group box (HMG-box) region. Increasing studies have shown that TOX is involved in maintaining tumors and promoting T cell exhaustion. In this review, we summarized the biological functions of TOX and its contribution as related to lymphocytic malignancies. We also discussed the potential role of TOX as an immune biomarker and target in immunotherapy for hematological malignancies. Keywords: Thymocyte selection-associated HMG BOX, Biological function, T cell exhaustion, Lymphocytic malignancies, Immune biomarker, Immunotherapy Background located on different chromosomes and have different TOX (thymocyte selection-associated HMG BOX), a functions (Fig. 1, Table 1)[16]. transcription factor, belongs to the high mobility group box (HMG-box) superfamily. In 2002, Wilkinson et al. TOX demonstrated for the first time that TOX plays an im- TOX, also known as KIAA0808, is located on q12.1 of portant role in the differentiation of CD4 + CD8+ human chromosome 8 and has one transcript. The double-positive thymocytes by gene microarray technol- length of the TOX mRNA is 4076 bp, and it contains ogy. Numerous studies have shown that TOX plays a nine exons that translate into a protein consisting of 526 vital role in the development and formation of various amino acids. -
The N-Cadherin Interactome in Primary Cardiomyocytes As Defined Using Quantitative Proximity Proteomics Yang Li1,*, Chelsea D
© 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs221606. doi:10.1242/jcs.221606 TOOLS AND RESOURCES The N-cadherin interactome in primary cardiomyocytes as defined using quantitative proximity proteomics Yang Li1,*, Chelsea D. Merkel1,*, Xuemei Zeng2, Jonathon A. Heier1, Pamela S. Cantrell2, Mai Sun2, Donna B. Stolz1, Simon C. Watkins1, Nathan A. Yates1,2,3 and Adam V. Kwiatkowski1,‡ ABSTRACT requires multiple adhesion, cytoskeletal and signaling proteins, The junctional complexes that couple cardiomyocytes must transmit and mutations in these proteins can cause cardiomyopathies (Ehler, the mechanical forces of contraction while maintaining adhesive 2018). However, the molecular composition of ICD junctional homeostasis. The adherens junction (AJ) connects the actomyosin complexes remains poorly defined. – networks of neighboring cardiomyocytes and is required for proper The core of the AJ is the cadherin catenin complex (Halbleib and heart function. Yet little is known about the molecular composition of the Nelson, 2006; Ratheesh and Yap, 2012). Classical cadherins are cardiomyocyte AJ or how it is organized to function under mechanical single-pass transmembrane proteins with an extracellular domain that load. Here, we define the architecture, dynamics and proteome of mediates calcium-dependent homotypic interactions. The adhesive the cardiomyocyte AJ. Mouse neonatal cardiomyocytes assemble properties of classical cadherins are driven by the recruitment of stable AJs along intercellular contacts with organizational and cytosolic catenin proteins to the cadherin tail, with p120-catenin β structural hallmarks similar to mature contacts. We combine (CTNND1) binding to the juxta-membrane domain and -catenin β quantitative mass spectrometry with proximity labeling to identify the (CTNNB1) binding to the distal part of the tail. -
Considerations for Feature Selection Using Gene Pairs and Applications
Moody et al. BMC Medical Genomics 2020, 13(Suppl 10):148 https://doi.org/10.1186/s12920-020-00778-x RESEARCH Open Access Considerations for feature selection using gene pairs and applications in large-scale dataset integration, novel oncogene discovery, and interpretable cancer screening Laura Moody1, Hong Chen1,2 and Yuan-Xiang Pan1,2,3* From The 18th Asia Pacific Bioinformatics Conference Seoul, Korea. 18-20 August 2020 Abstract Background: Advancements in transcriptomic profiling have led to the emergence of new challenges regarding data integration and interpretability. Variability between measurement platforms makes it difficult to compare between cohorts, and large numbers of gene features have encouraged the use black box methods that are not easily translated into biologically and clinically meaningful findings. We propose that gene rankings and algorithms that rely on relative expression within gene pairs can address such obstacles. Methods: We implemented an innovative process to evaluate the performance of five feature selection methods on simulated gene-pair data. Along with TSP, we consider other methods that retain more information in their score calculations, including the magnitude of gene expression change as well as within-class variation. Tree-based rule extraction was also applied to serum microRNA (miRNA) pairs in order to devise a noninvasive screening tool for pancreatic and ovarian cancer. Results: Gene pair data were simulated using different types of signal and noise. Pairs were filtered using feature selection approaches, including top-scoring pairs (TSP), absolute differences between gene ranks, and Fisher scores. Methods that retain more information, such as the magnitude of expression change and within-class variance, yielded higher classification accuracy using a random forest model. -
Genome-Wide CRISPR Screening Identifies BRD9 As a Druggable Component Of
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.04.429732; this version posted February 4, 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 4.0 International license. 1 Genome-Wide CRISPR Screening Identifies BRD9 as a Druggable Component of 2 Interferon-Stimulated Gene Expression and Antiviral Activity 3 Jacob Börolda,b,†, Davide Elettoa,†,#, Idoia Busnadiegoa, Nina K. Maira,b, Eva Moritza, 4 Samira Schiefera,b, Nora Schmidta,$, Philipp P. Petricc,d, W. Wei-Lynn Wonge, Martin 5 Schwemmlec & Benjamin G. Halea,* 6 7 aInstitute of Medical Virology, University of Zurich, Zurich, Switzerland. 8 bLife Science Zurich Graduate School, ETH and University of Zurich, Zurich, 9 Switzerland. 10 cInstitute of Virology, Freiburg University Medical Center, Faculty of Medicine, University 11 of Freiburg, Freiburg, Germany. 12 dSpemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg, 13 Germany. 14 eInstitute of Experimental Immunology, University of Zurich, Zurich, Switzerland. 15 *Correspondence: Benjamin G. Hale, [email protected] 16 †Equal first authors listed in alphabetical order. 17 #Present address: Department of Biosystems Science and Engineering, ETH Zurich, 18 Basel, Switzerland. 19 $Present address: Helmholtz Institute for RNA-based Infection Research, Helmholtz- 20 Center for Infection Research, Wurzburg, Germany. 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.02.04.429732; this version posted February 4, 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. -
Increased ACTL6A Occupancy Within Mswi/SNF Chromatin Remodelers
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.22.435873; this version posted March 22, 2021. 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. Increased ACTL6A Occupancy Within mSWI/SNF Chromatin Remodelers Drives Human Squamous Cell Carcinoma Chiung-Ying Chang1,2,7, Zohar Shipony3,7, Ann Kuo1,2, Kyle M. Loh4,5, William J. Greenleaf3,6, Gerald R. Crabtree1,2,5* 1Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA. 2Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA. 3Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. 4Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California 94305, USA. 5Department of Developmental Biology, Stanford University School of Medicine, Stanford, California 94305, USA. 6Department of Applied Physics, Stanford University, Stanford, California 94305, USA. 7These authors contributed equally. *Corresponding author: Gerald R. Crabtree, [email protected] Summary Mammalian SWI/SNF (BAF) chromatin remodelers play dosage-sensitive roles in many human malignancies and neurologic disorders. The gene encoding the BAF subunit, ACTL6A, is amplified at an early stage in the development of squamous cell carcinomas (SCCs), but its oncogenic role remains unclear. Here we demonstrate that ACTL6A overexpression leads to its stoichiometric assembly into BAF complexes and drives its interaction and engagement with specific regulatory regions in the genome. In normal epithelial cells, ACTL6A was sub-stoichiometric to other BAF subunits. However, increased ACTL6A levels by ectopic expression or in SCC cells led to near-saturation of ACTL6A within BAF complexes. -
Systematic Data-Querying of Large Pediatric Biorepository Identifies Novel Ehlers-Danlos Syndrome Variant Akshatha Desai1, John J
Desai et al. BMC Musculoskeletal Disorders (2016) 17:80 DOI 10.1186/s12891-016-0936-8 RESEARCH ARTICLE Open Access Systematic data-querying of large pediatric biorepository identifies novel Ehlers-Danlos Syndrome variant Akshatha Desai1, John J. Connolly1, Michael March1, Cuiping Hou1, Rosetta Chiavacci1, Cecilia Kim1, Gholson Lyon1, Dexter Hadley1 and Hakon Hakonarson1,2* Abstract Background: Ehlers Danlos Syndrome is a rare form of inherited connective tissue disorder, which primarily affects skin, joints, muscle, and blood cells. The current study aimed at finding the mutation that causing EDS type VII C also known as “Dermatosparaxis” in this family. Methods: Through systematic data querying of the electronic medical records (EMRs) of over 80,000 individuals, we recently identified an EDS family that indicate an autosomal dominant inheritance. The family was consented for genomic analysis of their de-identified data. After a negative screen for known mutations, we performed whole genome sequencing on the male proband, his affected father, and unaffected mother. We filtered the list of non- synonymous variants that are common between the affected individuals. Results: The analysis of non-synonymous variants lead to identifying a novel mutation in the ADAMTSL2 (p. Gly421Ser) gene in the affected individuals. Sanger sequencing confirmed the mutation. Conclusion: Our work is significant not only because it sheds new light on the pathophysiology of EDS for the affected family and the field at large, but also because it demonstrates the utility of unbiased large-scale clinical recruitment in deciphering the genetic etiology of rare mendelian diseases. With unbiased large-scale clinical recruitment we strive to sequence as many rare mendelian diseases as possible, and this work in EDS serves as a successful proof of concept to that effect. -
Anti-VAV3 (Aa 567-578) Polyclonal Antibody (DPABH-12442) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
Anti-VAV3 (aa 567-578) polyclonal antibody (DPABH-12442) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Antigen Description Exchange factor for GTP-binding proteins RhoA, RhoG and, to a lesser extent, Rac1. Binds physically to the nucleotide-free states of those GTPases. Plays an important role in angiogenesis. Its recruitement by phosphorylated EPHA2 is critical for EFNA1-induced RAC1 GTPase activation and vascular endothelial cell migration and assembly. Immunogen Synthetic peptide: CSGEQGTLKLPEK, corresponding to internal sequence amino acids 567-578 of Human VAV3 Isotype IgG Source/Host Goat Species Reactivity Human Purification Immunogen affinity purified Conjugate Unconjugated Applications WB, IHC-P Format Liquid Size 50 μg Buffer pH: 7.40; Constituents: 0.5% BSA, Tris buffered saline Preservative 0.02% Sodium Azide Storage Store at 4°C or at -20°C for long term storage. GENE INFORMATION Gene Name VAV3 vav 3 guanine nucleotide exchange factor [ Homo sapiens ] Official Symbol VAV3 Synonyms VAV3; vav 3 guanine nucleotide exchange factor; vav 3 oncogene; guanine nucleotide exchange factor VAV3; VAV-3; FLJ40431; 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 1 © Creative Diagnostics All Rights Reserved Entrez Gene ID 10451 Protein Refseq NP_001073343 UniProt ID Q9UKW4 Chromosome Location 1p13.3 Pathway B cell receptor signaling pathway; Cell death signalling via NRAGE, NRIF and NADE; Chemokine signaling pathway; Coregulation of Androgen receptor activity; EGFR1 Signaling Pathway; Function GTPase activator activity; Rac guanyl-nucleotide exchange factor activity; SH3/SH2 adaptor activity; epidermal growth factor receptor binding; guanyl-nucleotide exchange factor activity; metal ion binding; protein binding 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 2 © Creative Diagnostics All Rights Reserved. -
Ten Commandments for a Good Scientist
Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds Ana María Sotoca Covaleda Wageningen 2010 Thesis committee Thesis supervisors Prof. dr. ir. Ivonne M.C.M. Rietjens Professor of Toxicology Wageningen University Prof. dr. Albertinka J. Murk Personal chair at the sub-department of Toxicology Wageningen University Thesis co-supervisor Dr. ir. Jacques J.M. Vervoort Associate professor at the Laboratory of Biochemistry Wageningen University Other members Prof. dr. Michael R. Muller, Wageningen University Prof. dr. ir. Huub F.J. Savelkoul, Wageningen University Prof. dr. Everardus J. van Zoelen, Radboud University Nijmegen Dr. ir. Toine F.H. Bovee, RIKILT, Wageningen This research was conducted under the auspices of the Graduate School VLAG Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds Ana María Sotoca Covaleda Thesis submitted in fulfillment 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 Tuesday 14 September 2010 at 4 p.m. in the Aula Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds. Ana María Sotoca Covaleda Thesis Wageningen University, Wageningen, The Netherlands, 2010, With references, and with summary in Dutch. ISBN: 978-90-8585-707-5 “Caminante no hay camino, se hace camino al andar. Al andar se hace camino, y al volver la vista atrás se ve la senda que nunca se ha de volver a pisar” - Antonio Machado – A mi madre. -
1 Identification of Marbling Gene Loci in Commercial Pigs in Canadian Herds
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 21 June 2018 doi:10.20944/preprints201806.0330.v1 Peer-reviewed version available at Agriculture 2018, 8, 122; doi:10.3390/agriculture8080122 1 Identification of marbling gene loci in commercial pigs in Canadian herds. 2 W. J. Meadus, P. Duff, J. Roberts, J.L. Zantinge, I. Larsen, J.L. Aalhus, M. Juraez. 3 Agri-Food & Agriculture Canada, Lacombe Research Centre, 6000 C&E Trail, Lacombe, Alberta, Canada. T4L 1W1. 4 5 Abstract. 6 We examined the amount of marbling and tested the genome of boars from 5 breeds of Duroc, Iberian, 7 Lacombe, Berkshire and Pietrian that were commercially available for a swine herd in Canada. The 8 marbling was ranked according to the amount of intramuscular fat % obtained in loin chops consisting of 9 the longissimus dorsi muscle. The genetics were analysed by genome wide association study using 10 80,000 single nuclear polymorphism (SNP) microarrays. Our samples had pork that achieved > 7 % IMF 11 from 110kg animals. Meta-analysis revealed SNP markers that were associated with the highest marbled 12 pork chops on chromosomes 5, 7, and 16. Using the susScr 11.1 map, we determined that the nearest 13 genes were SSNP, Rh glycoprotein and EGFLAM. We tested a sub-population of Duroc sired animals and 14 found a different set of markers close to GRLB and KCNJ3 on chromosomes 8 and 15. Based on our 15 sample, we can achieve pork with good marbling from animals conventionally raised to standard market 16 weights of 110kg. The choice of a good marbling line of pig is not necessarily breed specific.