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Mouse Shcbp1 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Shcbp1 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Shcbp1 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Shcbp1 gene (NCBI Reference Sequence: NM_011369 ; Ensembl: ENSMUSG00000022322 ) is located on Mouse chromosome 8. 13 exons are identified, with the ATG start codon in exon 1 and the TAG stop codon in exon 13 (Transcript: ENSMUST00000022945). Exon 4 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Shcbp1 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP24-78D8 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Mice homozygous for a knock-out allele exhibit normal viability, fertility and T cell development but show decreased susceptibility to experimental autoimmune encephalomyelitis. Exon 4 starts from about 19.36% of the coding region. The knockout of Exon 4 will result in frameshift of the gene. The size of intron 3 for 5'-loxP site insertion: 2817 bp, and the size of intron 4 for 3'-loxP site insertion: 10568 bp. The size of effective cKO region: ~709 bp. The cKO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 4 13 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Shcbp1 Homology arm cKO region loxP site Page 2 of 8 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
ABCC12 Monoclonal Antibody, Clone M9II-3
ABCC12 monoclonal antibody, Gene Symbol: ABCC12 clone M9II-3 Gene Alias: MGC27071, MRP9 Catalog Number: MAB6675 Gene Summary: This gene is a member of the superfamily of ATP-binding cassette (ABC) transporters Regulatory Status: For research use only (RUO) and the encoded protein contains two ATP-binding domains and 12 transmembrane regions. ABC proteins Product Description: Rat monoclonal antibody raised transport various molecules across extra- and against partial recombinant ABCC12. intracellular membranes. ABC genes are divided into Clone Name: M9II-3 seven distinct subfamilies: ABC1, MDR/TAP, MRP, ALD, OABP, GCN20, and White. This gene is a member of Immunogen: Recombinant protein corresponding to the MRP subfamily which is involved in multi-drug amino acids 690-734 of human ABCC12. resistance. This gene and another subfamily member are arranged head-to-tail on chromosome 16q12.1. Host: Rat Increased expression of this gene is associated with breast cancer. [provided by RefSeq] Reactivity: Human References: Applications: ICC, IHC-Fr, WB 1. Multidrug resistance-associated protein 9 (ABCC12) is (See our web site product page for detailed applications present in mouse and boar sperm. Ono N, Van der information) Heijden I, Scheffer GL, Van de Wetering K, Van Deemter E, De Haas M, Boerke A, Gadella BM, De Rooij Protocols: See our web site at DG, Neefjes JJ, Groothuis TA, Oomen L, Brocks L, http://www.abnova.com/support/protocols.asp or product Ishikawa T, Borst P. Ono N, Van der Heijden I, Scheffer page for detailed protocols GL, Van de Wetering K, Van Deemter E, De Haas M, Boerke A, Gadella BM, De Rooij DG, Neefjes JJ, Specificity: M9II-3 reacts with an internal epitope of Groothuis TA, Oomen L, Brocks L, Ishikawa T, Borst P. -
Identify Key Genes and Pathways in Pancreatic Ductal Adenocarcinoma Via Bioinformatics Analysis
Identify key genes and pathways in pancreatic ductal adenocarcinoma via bioinformatics analysis Huatian Luo Fujian Medical University https://orcid.org/0000-0002-6505-825X Da-qiu Chen Fujian Medical University Jing-jing Pan Fujian Medical University Zhang-wei Wu Fujian Medical University Can Yang Fujian Medical University Hao-jie Xu Fujian Medical University Shang-hua Xu Fujian Medical University Hong-da Cai Fujian Medical University Shi Chen ( [email protected] ) Fujian Provincial Hospital Yao-dong Wang ( [email protected] ) Fujian Medical University Research article Keywords: Bioinformatical analysis, Microarray, Pancreatic cancer, Differentially expressed gene Posted Date: April 7th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-19826/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/14 Abstract Background: Pancreatic cancer has many pathologic types, among which pancreatic ductal adenocarcinoma (PDAC) is the most common one. Bioinformatics has become a very common tool for the selection of potentially pathogenic genes. Methods: Three data sets containing the gene expression proles of PDAC were downloaded from the gene expression omnibus (GEO) database. The limma package of R language was utilized to explore the differentially expressed genes (DEGs). To analyze functions and signaling pathways, the Database Visualization and Integrated Discovery (DAVID) was used. To visualize the protein-protein interaction (PPI) of the DEGs ,Cytoscape was performed under the utilization of Search Tool for the Retrieval of Interacting Genes (STRING). With the usage of the plug-in cytoHubba in cytoscape software, the hub genes were found out. To verify the expression levels of hub genes, Gene Expression Proling Interactive Analysis (GEPIA) was performed. -
Reconstructing Cell Cycle Pseudo Time-Series Via Single-Cell Transcriptome Data—Supplement
School of Natural Sciences and Mathematics Reconstructing Cell Cycle Pseudo Time-Series Via Single-Cell Transcriptome Data—Supplement UT Dallas Author(s): Michael Q. Zhang Rights: CC BY 4.0 (Attribution) ©2017 The Authors Citation: Liu, Zehua, Huazhe Lou, Kaikun Xie, Hao Wang, et al. 2017. "Reconstructing cell cycle pseudo time-series via single-cell transcriptome data." Nature Communications 8, doi:10.1038/s41467-017-00039-z This document is being made freely available by the Eugene McDermott Library of the University of Texas at Dallas with permission of the copyright owner. All rights are reserved under United States copyright law unless specified otherwise. File name: Supplementary Information Description: Supplementary figures, supplementary tables, supplementary notes, supplementary methods and supplementary references. CCNE1 CCNE1 CCNE1 CCNE1 36 40 32 34 32 35 30 32 28 30 30 28 28 26 24 25 Normalized Expression Normalized Expression Normalized Expression Normalized Expression 26 G1 S G2/M G1 S G2/M G1 S G2/M G1 S G2/M Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage CCNE1 CCNE1 CCNE1 CCNE1 40 32 40 40 35 30 38 30 30 28 36 25 26 20 20 34 Normalized Expression Normalized Expression Normalized Expression 24 Normalized Expression G1 S G2/M G1 S G2/M G1 S G2/M G1 S G2/M Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Supplementary Figure 1 | High stochasticity of single-cell gene expression means, as demonstrated by relative expression levels of gene Ccne1 using the mESC-SMARTer data. For every panel, 20 sample cells were randomly selected for each of the three stages, followed by plotting the mean expression levels at each stage. -
Transcriptional and Post-Transcriptional Regulation of ATP-Binding Cassette Transporter Expression
Transcriptional and Post-transcriptional Regulation of ATP-binding Cassette Transporter Expression by Aparna Chhibber DISSERTATION Submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Pharmaceutical Sciences and Pbarmacogenomies in the Copyright 2014 by Aparna Chhibber ii Acknowledgements First and foremost, I would like to thank my advisor, Dr. Deanna Kroetz. More than just a research advisor, Deanna has clearly made it a priority to guide her students to become better scientists, and I am grateful for the countless hours she has spent editing papers, developing presentations, discussing research, and so much more. I would not have made it this far without her support and guidance. My thesis committee has provided valuable advice through the years. Dr. Nadav Ahituv in particular has been a source of support from my first year in the graduate program as my academic advisor, qualifying exam committee chair, and finally thesis committee member. Dr. Kathy Giacomini graciously stepped in as a member of my thesis committee in my 3rd year, and Dr. Steven Brenner provided valuable input as thesis committee member in my 2nd year. My labmates over the past five years have been incredible colleagues and friends. Dr. Svetlana Markova first welcomed me into the lab and taught me numerous laboratory techniques, and has always been willing to act as a sounding board. Michael Martin has been my partner-in-crime in the lab from the beginning, and has made my days in lab fly by. Dr. Yingmei Lui has made the lab run smoothly, and has always been willing to jump in to help me at a moment’s notice. -
Temporal Proteomic Analysis of HIV Infection Reveals Remodelling of The
1 1 Temporal proteomic analysis of HIV infection reveals 2 remodelling of the host phosphoproteome 3 by lentiviral Vif variants 4 5 Edward JD Greenwood 1,2,*, Nicholas J Matheson1,2,*, Kim Wals1, Dick JH van den Boomen1, 6 Robin Antrobus1, James C Williamson1, Paul J Lehner1,* 7 1. Cambridge Institute for Medical Research, Department of Medicine, University of 8 Cambridge, Cambridge, CB2 0XY, UK. 9 2. These authors contributed equally to this work. 10 *Correspondence: [email protected]; [email protected]; [email protected] 11 12 Abstract 13 Viruses manipulate host factors to enhance their replication and evade cellular restriction. 14 We used multiplex tandem mass tag (TMT)-based whole cell proteomics to perform a 15 comprehensive time course analysis of >6,500 viral and cellular proteins during HIV 16 infection. To enable specific functional predictions, we categorized cellular proteins regulated 17 by HIV according to their patterns of temporal expression. We focussed on proteins depleted 18 with similar kinetics to APOBEC3C, and found the viral accessory protein Vif to be 19 necessary and sufficient for CUL5-dependent proteasomal degradation of all members of the 20 B56 family of regulatory subunits of the key cellular phosphatase PP2A (PPP2R5A-E). 21 Quantitative phosphoproteomic analysis of HIV-infected cells confirmed Vif-dependent 22 hyperphosphorylation of >200 cellular proteins, particularly substrates of the aurora kinases. 23 The ability of Vif to target PPP2R5 subunits is found in primate and non-primate lentiviral 2 24 lineages, and remodeling of the cellular phosphoproteome is therefore a second ancient and 25 conserved Vif function. -
MEIS2 Promotes Cell Migration and Invasion in Colorectal Cancer
ONCOLOGY REPORTS 42: 213-223, 2019 MEIS2 promotes cell migration and invasion in colorectal cancer ZIANG WAN1*, RUI CHAI1*, HANG YUAN1*, BINGCHEN CHEN1, QUANJIN DONG1, BOAN ZHENG1, XIAOZHOU MOU2, WENSHENG PAN3, YIFENG TU4, QING YANG5, SHILIANG TU1 and XINYE HU1 1Department of Colorectal Surgery, 2Clinical Research Institute and 3Department of Gastroenterology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang 310014; 4Department of Pathology, College of Basic Medical Sciences, Shenyang Medical College, Shenyang, Liaoning 110034; 5Department of Academy of Life Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China Received October 9, 2018; Accepted March 18, 2019 DOI: 10.3892/or.2019.7161 Abstract. Colorectal cancer (CRC) is one of the most common 5-year survival rate of metastatic CRC is as low as ~10%. In types of malignancy worldwide. Distant metastasis is a key the past few decades, several regulators of CRC metastasis cause of CRC‑associated mortality. MEIS2 has been identified have been identified, including HNRNPLL and PGE2 (4,5). to be dysregulated in several types of human cancer. However, HNRNPLL has been revealed to modulate alternative splicing the mechanisms underlying the regulatory role of MEIS2 in of CD44 during the epithelial-mesenchymal transition (EMT), CRC metastasis remain largely unknown. For the first time, which leads to suppression of CRC metastasis (4). PGE2 the present study demonstrated that MEIS2 serves a role as a induced an expansion of CRC stem cells to promote liver promoter of metastasis in CRC. In vivo and in vitro experiments metastases in mice by activating NF-κB (5). -
SHCBP1 Promotes Synovial Sarcoma Cell Metastasis Via Targeting TGF-Β1
Peng et al. Journal of Experimental & Clinical Cancer Research (2017) 36:141 DOI 10.1186/s13046-017-0616-z RESEARCH Open Access SHCBP1 promotes synovial sarcoma cell metastasis via targeting TGF-β1/Smad signaling pathway and is associated with poor prognosis Changliang Peng1, Hui Zhao2, Yan Song3, Wei Chen4, Xiaoying Wang5, Xiaoli Liu6, Cheng Zhang1, Jie Zhao1,JiLi1, Guanghui Cheng7, Dongjin Wu1, Chunzheng Gao1 and Xiuwen Wang1* Abstract Background: Our previous studies reported that SHC SH2-domain binding protein 1 (SHCBP1) functions as an oncogene via promoting cell proliferations in synovial sarcoma (SS) cells. However, whether SHCBP1 has any effect on tumor metastasis remains unexplored. Methods: The expression of SHCBP1 was analyzed in 76 SS tissues and two SS cell lines by immunohistochemistry and real-time RT-PCR. The relationship between SHCBP1 expression and the clinicopathological features of SS was investigated. The role of SHCBP1 in SS cell adhesion, migration, invasion and angiogenesis was explored by adhesion, Wound healing, Transwell, and Matrigel tube formation assays. Western blotting was conducted to detect the protein expressions of TGF-β1/Smad signaling pathway and EMT-related markers. The key molecules associated with migration, invasion and EMT were evaluated by immunohistochemistry in tumor specimens. Results: In current study, we demonstrated that SHCBP1 overexpression significantly enhanced adhesion, migration, invasion and angiogenesis of SS cells. In contrast, SHCBP1 knockdown elicited the opposite effects on these phenotypes in vitro. SHCBP1 promoted tumor metastasis through inducing epithelial-mesenchymal transition (EMT) in SS cells. SHCBP1 knockdown could block the incidence of metastasis and EMT in SS cells. Furthermore, transforming growth factor-β1 (TGF-β1) induced SHCBP1 expression in a time-dependent pattern and SHCBP1 knockdown inhibited TGF-β1-induced EMT. -
Interindividual Differences in the Expression of ATP-Binding
Supplemental material to this article can be found at: http://dmd.aspetjournals.org/content/suppl/2018/02/02/dmd.117.079061.DC1 1521-009X/46/5/628–635$35.00 https://doi.org/10.1124/dmd.117.079061 DRUG METABOLISM AND DISPOSITION Drug Metab Dispos 46:628–635, May 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Special Section on Transporters in Drug Disposition and Pharmacokinetic Prediction Interindividual Differences in the Expression of ATP-Binding Cassette and Solute Carrier Family Transporters in Human Skin: DNA Methylation Regulates Transcriptional Activity of the Human ABCC3 Gene s Tomoki Takechi, Takeshi Hirota, Tatsuya Sakai, Natsumi Maeda, Daisuke Kobayashi, and Ichiro Ieiri Downloaded from Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (T.T., T.H., T.S., N.M., I.I.); Drug Development Research Laboratories, Kyoto R&D Center, Maruho Co., Ltd., Kyoto, Japan (T.T.); and Department of Clinical Pharmacy and Pharmaceutical Care, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (D.K.) Received October 19, 2017; accepted January 30, 2018 dmd.aspetjournals.org ABSTRACT The identification of drug transporters expressed in human skin and levels. ABCC3 expression levels negatively correlated with the methylation interindividual differences in gene expression is important for understanding status of the CpG island (CGI) located approximately 10 kilobase pairs the role of drug transporters in human skin. In the present study, we upstream of ABCC3 (Rs: 20.323, P < 0.05). The reporter gene assay revealed evaluated the expression of ATP-binding cassette (ABC) and solute carrier a significant increase in transcriptional activity in the presence of CGI. -
Number 3 March 2016 Atlas of Genetics and Cytogenetics in Oncology and Haematology
Volume 1 - Number 1 May - September 1997 Volume 20 - Number 3 March 2016 Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL INIST-CNRS Scope The Atlas of Genetics and Cytogenetics in Oncology and Haematologyis a peer reviewed on-line journal in open access, devoted to genes, cytogenetics, and clinical entities in cancer, and cancer-prone diseases. It is made for and by: clinicians and researchers in cytogenetics, molecular biology, oncology, haematology, and pathology. One main scope of the Atlas is to conjugate the scientific information provided by cytogenetics/molecular genetics to the clinical setting (diagnostics, prognostics and therapeutic design), another is to provide an encyclopedic knowledge in cancer genetics. The Atlas deals with cancer research and genomics. It is at the crossroads of research, virtual medical university (university and post-university e-learning), and telemedicine. It contributes to "meta-medicine", this mediation, using information technology, between the increasing amount of knowledge and the individual, having to use the information. Towards a personalized medicine of cancer. It presents structured review articles ("cards") on: 1- Genes, 2- Leukemias, 3- Solid tumors, 4- Cancer-prone diseases, and also 5- "Deep insights": more traditional review articles on the above subjects and on surrounding topics. It also present 6- Case reports in hematology and 7- Educational items in the various related topics for students in Medicine and in Sciences. The Atlas of Genetics and Cytogenetics in Oncology and Haematology does not publish research articles. See also: http://documents.irevues.inist.fr/bitstream/handle/2042/56067/Scope.pdf Editorial correspondance Jean-Loup Huret, MD, PhD, Genetics, Department of Medical Information, University Hospital F-86021 Poitiers, France phone +33 5 49 44 45 46 [email protected] or [email protected] . -
ABCC11 Antibody (F48871)
ABCC11 Antibody (F48871) Catalog No. Formulation Size F48871-0.4ML In 1X PBS, pH 7.4, with 0.09% sodium azide 0.4 ml F48871-0.08ML In 1X PBS, pH 7.4, with 0.09% sodium azide 0.08 ml Bulk quote request Availability 1-3 business days Species Reactivity Human Format Antigen affinity purified Clonality Polyclonal (rabbit origin) Isotype Rabbit Ig Purity Antigen affinity UniProt Q96J66 Localization Cytoplasmic, membranous Applications Western blot : 1:1000 IHC (Paraffin) : 1:50-1:100 Limitations This ABCC11 antibody is available for research use only. ABCC11 antibody IHC analysis in formalin fixed and paraffin embedded breast carcinoma. Western blot analysis of ABCC11 antibody and WiDr lysate. Predicted molecular weight: ~154/150kDa (isoforms 1/2). Description ATP-binding cassette sub-family C member 11 is a member of the superfamily of ATP-binding cassette (ABC) transporters. ABC proteins transport various molecules across extra- and intra-cellular membranes. ABC genes are divided into seven distinct subfamilies (ABC1, MDR/TAP, MRP, ALD, OABP, GCN20, White). This ABC full transporter is a member of the MRP subfamily which is involved in multi-drug resistance. The product of this gene participates in physiological processes involving bile acids, conjugated steroids, and cyclic nucleotides. In addition, a SNP in this gene is responsible for determination of human earwax type. This gene and family member ABCC12 are determined to be derived by duplication and are both localized to chromosome 16q12.1. Application Notes Titration of the ABCC11 antibody may be required due to differences in protocols and secondary/substrate sensitivity. Immunogen A portion of amino acids 343-372 from the human protein was used as the immunogen for this ABCC11 antibody.