A Human-Specific Structural Variation at the ZNF558 Locus Controls 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. -
Computational Genome-Wide Identification of Heat Shock Protein Genes in the Bovine Genome [Version 1; Peer Review: 2 Approved, 1 Approved with Reservations]
F1000Research 2018, 7:1504 Last updated: 08 AUG 2021 RESEARCH ARTICLE Computational genome-wide identification of heat shock protein genes in the bovine genome [version 1; peer review: 2 approved, 1 approved with reservations] Oyeyemi O. Ajayi1,2, Sunday O. Peters3, Marcos De Donato2,4, Sunday O. Sowande5, Fidalis D.N. Mujibi6, Olanrewaju B. Morenikeji2,7, Bolaji N. Thomas 8, Matthew A. Adeleke 9, Ikhide G. Imumorin2,10,11 1Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Nigeria 2International Programs, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14853, USA 3Department of Animal Science, Berry College, Mount Berry, GA, 30149, USA 4Departamento Regional de Bioingenierias, Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Queretaro, Mexico 5Department of Animal Production and Health, Federal University of Agriculture, Abeokuta, Nigeria 6Usomi Limited, Nairobi, Kenya 7Department of Animal Production and Health, Federal University of Technology, Akure, Nigeria 8Department of Biomedical Sciences, Rochester Institute of Technology, Rochester, NY, 14623, USA 9School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa 10School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30032, USA 11African Institute of Bioscience Research and Training, Ibadan, Nigeria v1 First published: 20 Sep 2018, 7:1504 Open Peer Review https://doi.org/10.12688/f1000research.16058.1 Latest published: 20 Sep 2018, 7:1504 https://doi.org/10.12688/f1000research.16058.1 Reviewer Status Invited Reviewers Abstract Background: Heat shock proteins (HSPs) are molecular chaperones 1 2 3 known to bind and sequester client proteins under stress. Methods: To identify and better understand some of these proteins, version 1 we carried out a computational genome-wide survey of the bovine 20 Sep 2018 report report report genome. -
Location Analysis of Estrogen Receptor Target Promoters Reveals That
Location analysis of estrogen receptor ␣ target promoters reveals that FOXA1 defines a domain of the estrogen response Jose´ e Laganie` re*†, Genevie` ve Deblois*, Ce´ line Lefebvre*, Alain R. Bataille‡, Franc¸ois Robert‡, and Vincent Gigue` re*†§ *Molecular Oncology Group, Departments of Medicine and Oncology, McGill University Health Centre, Montreal, QC, Canada H3A 1A1; †Department of Biochemistry, McGill University, Montreal, QC, Canada H3G 1Y6; and ‡Laboratory of Chromatin and Genomic Expression, Institut de Recherches Cliniques de Montre´al, Montreal, QC, Canada H2W 1R7 Communicated by Ronald M. Evans, The Salk Institute for Biological Studies, La Jolla, CA, July 1, 2005 (received for review June 3, 2005) Nuclear receptors can activate diverse biological pathways within general absence of large scale functional data linking these putative a target cell in response to their cognate ligands, but how this binding sites with gene expression in specific cell types. compartmentalization is achieved at the level of gene regulation is Recently, chromatin immunoprecipitation (ChIP) has been used poorly understood. We used a genome-wide analysis of promoter in combination with promoter or genomic DNA microarrays to occupancy by the estrogen receptor ␣ (ER␣) in MCF-7 cells to identify loci recognized by transcription factors in a genome-wide investigate the molecular mechanisms underlying the action of manner in mammalian cells (20–24). This technology, termed 17-estradiol (E2) in controlling the growth of breast cancer cells. ChIP-on-chip or location analysis, can therefore be used to deter- We identified 153 promoters bound by ER␣ in the presence of E2. mine the global gene expression program that characterize the Motif-finding algorithms demonstrated that the estrogen re- action of a nuclear receptor in response to its natural ligand. -
The Hominoid-Specific Gene TBC1D3 Promotes Generation of Basal Neural
1 The hominoid-specific gene TBC1D3 promotes generation of basal neural 2 progenitors and induces cortical folding in mice 3 4 Xiang-Chun Ju1,3,9, Qiong-Qiong Hou1,3,9, Ai-Li Sheng1, Kong-Yan Wu1, Yang Zhou8, 5 Ying Jin8, Tieqiao Wen7, Zhengang Yang6, Xiaoqun Wang2,5, Zhen-Ge Luo1,2,3,4 6 7 1Institute of Neuroscience, State Key Laboratory of Neuroscience, Shanghai Institutes for 8 Biological Sciences, Chinese Academy of Sciences, Shanghai, China. 9 2CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, 10 China. 11 3Chinese Academy of Sciences University, Beijing, China. 12 4ShanghaiTech University, Shanghai, China 13 5Institute of Biophysics, Chinese Academy of Sciences, Beijing, China. 14 6Institutes of Brain Science, State Key Laboratory of Medical Neurobiology, Fudan 15 University, Shanghai, China. 16 7School of Life Sciences, Shanghai University, Shanghai, China. 17 8The Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese 18 Academy of Sciences, Shanghai, China. 19 9Co-first author 20 Correspondence should be addressed to Z.G.L ([email protected]) 21 22 Author contributions 23 X.-C.J and Q.-Q. H performed most experiments, analyzed data and wrote the paper. 24 A.-L.S helped with in situ hybridization. K.-Y.W assisted with imaging analysis. T.W 25 helped with the construction of nestin promoter construct. Y. Z and Y. J helped with 26 ReNeuron cell culture and analysis. Z.Y provided human fetal samples and assisted with 1 27 immunohistochemistry analysis. X.W provided help with live-imaging analysis. Z.-G.L 28 supervised the whole study, designed the research, analyzed data and wrote the paper. -
Supplemental Figures
Supplemental Figures Supplemental figure legends Figure S1 | Testing the pre-clustering heuristic. (A) (Left) Default, unsupervised heuristic sets a cut of 7% of the total dendrogram depth, which results in 52 pre-clusters. (Right) The numerical model calculated using the 52 pre-clusters. Xc1 and Xc2 represent the expression (in a binned UMIs grid) of a given gene X in two cells c1 and c2 belonging to the same pre-cluster. The cumulative distribution plot estimates the frequency, hence likelihood, of an expression change. (B) (Left) Forcing a cut of only 4% creates 1152 pre-clusters, more than 20-fold increase compared to the default 7% depth. Also, given the reduction of the average cluster size and the consequent reduction of possible intra-cluster pair-wise comparison, the number of data points used to fit the model decreases of more than 5-fold compared to default 7% cut (from 3.79E+9 to 6.56E+8). (Right) Despite this, the difference between the numerical model of 4% cut and 7% cut is marginal. (C) (Left) Forcing a cut of 20% creates only 9 pre-clusters, which is less than the number of final clusters (in this case, 11) and therefore represents a miscalculated configuration. Still the difference between the numerical model of 20% cut and 7% cut is marginal (right). (D) Also switching from Pearson to Spearman correlation is associated with neglectable differences in the numerical model. (E) (Top) Number of pre-clusters associated with the different cutting depths, correlations metrics (Pearson, Spearman) or linkage metrics (complete or Weighted average distance, WPGMA, instead of default Ward’s). -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
Segmental Duplications and Their Variation in a Complete Human Genome
Segmental duplications and their variation in a complete human genome Mitchell R. Vollger1, Xavi Guitart1, Philip C. Dishuck1, Ludovica Mercuri2, William T. Harvey1, Ariel Gershman3, Mark Diekhans4, Arvis Sulovari1, Katherine M. Munson1, Alexandra M. Lewis1, Kendra Hoekzema1, David Porubsky1, Ruiyang Li1, Sergey Nurk5, Sergey Koren5, Karen H. Miga4, Adam M. Phillippy5, Winston Timp3, Mario Ventura2, Evan E. Eichler1,6 1. Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA 2. Department of Biology, University of Bari, Aldo Moro, Bari 70125, Italy 3. Department of Molecular Biology and Genetics, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA 4. UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA 5. Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA 6. Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA Supplemental Notes Supplemental note 1: We report 81.3 Mbp of SD sequence that overlaps with the new or structurally variable sequence in T2T-CHM13 assembly. This differs from the 68.3 Mbp reported by Nurk et al. (1) because we considered all SDs that overlapped with new sequence whereas Nurk et al. uses a strict intersection. For example, if a 75 kbp SD overlapped 50 kbp of new sequence we would report 75 kbp of new SD sequence whereas Nurk et al. would report 50 kbp. Supplemental note 2: Nurk et al. reports 140 new protein-coding genes (1), and we report 182 new genes with multiple exons and an open reading frame (ORF). -
Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in -
The HSP70 Chaperone Machinery: J Proteins As Drivers of Functional Specificity
REVIEWS The HSP70 chaperone machinery: J proteins as drivers of functional specificity Harm H. Kampinga* and Elizabeth A. Craig‡ Abstract | Heat shock 70 kDa proteins (HSP70s) are ubiquitous molecular chaperones that function in a myriad of biological processes, modulating polypeptide folding, degradation and translocation across membranes, and protein–protein interactions. This multitude of roles is not easily reconciled with the universality of the activity of HSP70s in ATP-dependent client protein-binding and release cycles. Much of the functional diversity of the HSP70s is driven by a diverse class of cofactors: J proteins. Often, multiple J proteins function with a single HSP70. Some target HSP70 activity to clients at precise locations in cells and others bind client proteins directly, thereby delivering specific clients to HSP70 and directly determining their fate. In their native cellular environment, polypeptides are participates in such diverse cellular functions. Their constantly at risk of attaining conformations that pre- functional diversity is remarkable considering that vent them from functioning properly and/or cause them within and across species, HSP70s have high sequence to aggregate into large, potentially cytotoxic complexes. identity. They share a single biochemical activity: an Molecular chaperones guide the conformation of proteins ATP-dependent client-binding and release cycle com- throughout their lifetime, preventing their aggregation bined with client protein recognition, which is typi- by protecting interactive surfaces against non-productive cally rather promiscuous. This apparent conundrum interactions. Through such inter actions, molecular chap- is resolved by the fact that HSP70s do not work alone, erones aid in the folding of nascent proteins as they are but rather as ‘HSP70 machines’, collaborating with synthesized by ribosomes, drive protein transport across and being regulated by several cofactors. -
WO 2019/068007 Al Figure 2
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/068007 Al 04 April 2019 (04.04.2019) W 1P O PCT (51) International Patent Classification: (72) Inventors; and C12N 15/10 (2006.01) C07K 16/28 (2006.01) (71) Applicants: GROSS, Gideon [EVIL]; IE-1-5 Address C12N 5/10 (2006.0 1) C12Q 1/6809 (20 18.0 1) M.P. Korazim, 1292200 Moshav Almagor (IL). GIBSON, C07K 14/705 (2006.01) A61P 35/00 (2006.01) Will [US/US]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., C07K 14/725 (2006.01) P.O. Box 4044, 7403635 Ness Ziona (TL). DAHARY, Dvir [EilL]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., P.O. (21) International Application Number: Box 4044, 7403635 Ness Ziona (IL). BEIMAN, Merav PCT/US2018/053583 [EilL]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., P.O. (22) International Filing Date: Box 4044, 7403635 Ness Ziona (E.). 28 September 2018 (28.09.2018) (74) Agent: MACDOUGALL, Christina, A. et al; Morgan, (25) Filing Language: English Lewis & Bockius LLP, One Market, Spear Tower, SanFran- cisco, CA 94105 (US). (26) Publication Language: English (81) Designated States (unless otherwise indicated, for every (30) Priority Data: kind of national protection available): AE, AG, AL, AM, 62/564,454 28 September 2017 (28.09.2017) US AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, 62/649,429 28 March 2018 (28.03.2018) US CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, (71) Applicant: IMMP ACT-BIO LTD. -
Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo -
Chromosomal Microarray Analysis in Turkish Patients with Unexplained Developmental Delay and Intellectual Developmental Disorders
177 Arch Neuropsychitry 2020;57:177−191 RESEARCH ARTICLE https://doi.org/10.29399/npa.24890 Chromosomal Microarray Analysis in Turkish Patients with Unexplained Developmental Delay and Intellectual Developmental Disorders Hakan GÜRKAN1 , Emine İkbal ATLI1 , Engin ATLI1 , Leyla BOZATLI2 , Mengühan ARAZ ALTAY2 , Sinem YALÇINTEPE1 , Yasemin ÖZEN1 , Damla EKER1 , Çisem AKURUT1 , Selma DEMİR1 , Işık GÖRKER2 1Faculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey 2Faculty of Medicine, Department of Child and Adolescent Psychiatry, Trakya University, Edirne, Turkey ABSTRACT Introduction: Aneuploids, copy number variations (CNVs), and single in 39 (39/123=31.7%) patients. Twelve CNV variant of unknown nucleotide variants in specific genes are the main genetic causes of significance (VUS) (9.75%) patients and 7 CNV benign (5.69%) patients developmental delay (DD) and intellectual disability disorder (IDD). were reported. In 6 patients, one or more pathogenic CNVs were These genetic changes can be detected using chromosome analysis, determined. Therefore, the diagnostic efficiency of CMA was found to chromosomal microarray (CMA), and next-generation DNA sequencing be 31.7% (39/123). techniques. Therefore; In this study, we aimed to investigate the Conclusion: Today, genetic analysis is still not part of the routine in the importance of CMA in determining the genomic etiology of unexplained evaluation of IDD patients who present to psychiatry clinics. A genetic DD and IDD in 123 patients. diagnosis from CMA can eliminate genetic question marks and thus Method: For 123 patients, chromosome analysis, DNA fragment analysis alter the clinical management of patients. Approximately one-third and microarray were performed. Conventional G-band karyotype of the positive CMA findings are clinically intervenable.