SF3B2-Mediated RNA Splicing Drives Human Prostate Cancer Progression
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Mutated SF3B1 Is Associated with Transcript Isoform Changes of The
bioRxiv preprint doi: https://doi.org/10.1101/000992; this version posted July 13, 2014. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Reyes et al. RESEARCH Mutated SF3B1 is associated with transcript isoform changes of the genes UQCC and RPL31 both in CLLs and uveal melanomas Alejandro Reyes1, Carolin Blume2, Vincent Pelechano1, Petra Jakob1, Lars M Steinmetz1,3, Thorsten Zenz2,4 and Wolfgang Huber1* *Correspondence: [email protected] 1European Molecular Biology Abstract Laboratory, Genome Biology Unit, 69117, Heidelberg Germany Background: Genome sequencing studies of chronic lympoid leukemia (CLL) Full list of author information is have provided a comprehensive overview of recurrent somatic mutations in coding available at the end of the article genes. One of the most intriguing discoveries has been the prevalence of mutations in the HEAT-repeat domain of the splicing factor SF3B1. A frequently observed variant is predicted to cause the substitution of a lysine with a glutamic acid at position 700 of the protein (K700E). However, the molecular consequences of the mutations are largely unknown. Results: To start exploring this question, we sequenced the transcriptomes of six samples: four samples of CLL tumour cells, of which two contained the K700E mutation in SF3B1, and CD19 positive cells from two healthy donors. We identified 41 genes that showed differential usage of exons statistically associated with the mutated status of SF3B1 (false discovery rate of 10%). -
Alterations of RNA Splicing Patterns in Esophagus Squamous Cell Carcinoma
Ding et al. Cell Biosci (2021) 11:36 https://doi.org/10.1186/s13578-021-00546-z Cell & Bioscience RESEARCH Open Access Alterations of RNA splicing patterns in esophagus squamous cell carcinoma Jiyu Ding1,2, Chunquan Li3, Yinwei Cheng1,2, Zepeng Du4, Qiuyu Wang3, Zhidong Tang3, Chao Song3, Qiaoxi Xia1,2, Wenjing Bai1,2, Ling Lin1,2, Wei Liu1,2, Liyan Xu1,5, Enmin Li1,2* and Bingli Wu1,2* Abstract Alternative splicing (AS) is an important biological process for regulating the expression of various isoforms from a single gene and thus to promote proteome diversity. In this study, RNA-seq data from 15 pairs of matched esopha- geal squamous cell carcinoma (ESCC) and normal tissue samples as well as two cell lines were analyzed. AS events with signifcant diferences were identifed between ESCC and matched normal tissues, which were re-annotated to fnd protein coding genes or non-coding RNAs. A total of 45,439 AS events were found. Of these, 6019 (13.25%) signifcant diferentially AS events were identifed. Exon skipping (SE) events occupied the largest proportion of abnormal splicing events. Fifteen diferential splicing events with the same trends of ΔΨ values in ESCC tissues, as well in the two cell lines were found. Four pathways and 20 biological processes related to pro-metastasis cell junction and migration were signifcantly enriched for the diferentially spliced genes. The upregulated splicing factor SF3B4, which regulates 92 gene splicing events, could be a potential prognostic factor of ESCC. Diferentially spliced genes, includ- ing HNRNPC, VCL, ZNF207, KIAA1217, TPM1 and CALD1 are shown with a sashimi plot. -
SF3B3) and Sin3a Associated Protein 130 (SAP130
cells Communication Ambiguity about Splicing Factor 3b Subunit 3 (SF3B3) and Sin3A Associated Protein 130 (SAP130) Paula I. Metselaar 1,* , Celine Hos 1, Olaf Welting 1, Jos A. Bosch 2,3, Aletta D. Kraneveld 4 , Wouter J. de Jonge 1 and Anje A. Te Velde 1 1 Tytgat Institute for Liver and Intestinal Research, AGEM, Amsterdam UMC, University of Amsterdam, 1105BK Amsterdam, The Netherlands; [email protected] (C.H.); [email protected] (O.W.); [email protected] (W.J.d.J.); [email protected] (A.A.T.V.) 2 Department of Psychology, University of Amsterdam, 1018WS Amsterdam, The Netherlands; [email protected] 3 Department of Medical Psychology, Amsterdam UMC, University of Amsterdam, 1001NK Amsterdam, The Netherlands 4 Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, 3584CG Utrecht, The Netherlands; [email protected] * Correspondence: [email protected] Abstract: In 2020, three articles were published on a protein that can activate the immune system by binding to macrophage-inducible C-type lectin receptor (Mincle). In the articles, the protein was referred to as ‘SAP130, a subunit of the histone deacetylase complex.’ However, the Mincle ligand the authors aimed to investigate is splicing factor 3b subunit 3 (SF3B3). This splicing factor is unrelated to SAP130 (Sin3A associated protein 130, a subunit of the histone deacetylase-dependent Sin3A corepressor complex). The conclusions in the three articles were formulated for SF3B3, Citation: Metselaar, P.I.; Hos, C.; while the researchers used qPCR primers and antibodies against SAP130. -
Urabe VK, Et Al. Influences on U2 Snrna Structure U2
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.05.451154; this version posted July 6, 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. Urabe VK, et al. Influences on U2 snRNA structure U2 snRNA structure is influenced by SF3A and SF3B proteins but not by SF3B inhibitors Veronica K. Urabe1, Meredith Stevers1, Arun K. Ghosh3 and Melissa S. Jurica1,2 * 1Department of Molecular Cell and Developmental Biology and 2Center for Molecular Biology of RNA, University of California, Santa Cruz, California, United States of America 3Department of Chemistry and Department of Medicinal Chemistry, Purdue University, West Lafayette, Indiana United States of America *Corresponding author E-mail: [email protected] (MSJ) bioRxiv preprint doi: https://doi.org/10.1101/2021.07.05.451154; this version posted July 6, 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. Urabe VK, et al. Influences on U2 snRNA structure Abstract U2 snRNP is an essential component of the spliceosome. It is responsible for branch point recognition in the spliceosome A-complex via base-pairing of U2 snRNA with an intron to form the branch helix. Small molecule inhibitors target the SF3B component of the U2 snRNP and interfere with A-complex formation during spliceosome assembly. -
SF3B2 Monoclonal Antibody (M01J), Clone 5D2
SF3B2 monoclonal antibody (M01J), clone 5D2 Catalog # : H00010992-M01J 規格 : [ 100 ug ] List All Specification Application Image Product Mouse monoclonal antibody raised against a partial recombinant Western Blot (Cell lysate) Description: SF3B2. Immunogen: SF3B2 (NP_006833, 592 a.a. ~ 645 a.a) partial recombinant protein with GST tag. MW of the GST tag alone is 26 KDa. Sequence: YEGKEFETRLKEKKPGDLSDELRISLGMPVGPNAHKVPPPWLIAMQRYG PPPSY enlarge Western Blot (Cell lysate) Host: Mouse Reactivity: Human, Mouse, Rat Preparation Cell Culture Production Method: (CX Grade Antibody List) enlarge Isotype: IgG2a Kappa Western Blot (Recombinant protein) Quality Control Antibody Reactive Against Recombinant Protein. Immunofluorescence Testing: enlarge Immunohistochemistry (Formalin/PFA-fixed paraffin- embedded sections) Western Blot detection against Immunogen (31.68 KDa) . Storage Buffer: In 1x PBS, pH 7.4 Storage Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. enlarge Instruction: Sandwich ELISA (Recombinant protein) MSDS: Download Interspecies Mouse (98); Rat (98) Antigen Sequence: Datasheet: Download enlarge ELISA Applications Western Blot (Cell lysate) Page 1 of 3 2021/6/15 SF3B2 monoclonal antibody (M01J), clone 5D2. Western Blot analysis of SF3B2 expression in Hela S3 NE. Protocol Download Western Blot (Cell lysate) SF3B2 monoclonal antibody (M01J), clone 5D2. Western Blot analysis of SF3B2 expression in Jurkat. Protocol Download Western Blot (Recombinant protein) Protocol Download Immunofluorescence enlarge this image Immunofluorescence of monoclonal antibody to SF3B2 on HeLa cell . [antibody concentration 10 ug/ml] Immunohistochemistry (Formalin/PFA-fixed paraffin-embedded sections) enlarge this image Page 2 of 3 2021/6/15 Immunoperoxidase of monoclonal antibody to SF3B2 on formalin-fixed paraffin-embedded human kidney. [antibody concentration 6 ug/ml] Protocol Download Sandwich ELISA (Recombinant protein) Detection limit for recombinant GST tagged SF3B2 is 0.1 ng/ml as a capture antibody. -
SF3B4 Gene Splicing Factor 3B Subunit 4
SF3B4 gene splicing factor 3b subunit 4 Normal Function The SF3B4 gene provides instructions for making the SAP49 protein, which is part of a complex called a spliceosome. Spliceosomes help process messenger RNA (mRNA), which is a chemical cousin of DNA that serves as a genetic blueprint for making proteins. The spliceosomes recognize and then remove regions from mRNA molecules that are not used in the blueprint (which are called introns). The SAP49 protein may also be involved in a chemical signaling pathway known as the bone morphogenic protein (BMP) pathway. This signaling pathway regulates various cellular processes and is involved in the growth of cells. The SAP49 protein is particularly important for the maturation of cells that build bones and cartilage ( osteoblasts and chondrocytes). Health Conditions Related to Genetic Changes Nager syndrome More than 30 mutations in the SF3B4 gene have been found to cause Nager syndrome, which is primarily characterized by abnormalities of the face, hands, and arms, such as underdeveloped cheek bones (malar hypoplasia), a small lower jaw (micrognathia), and malformed or absent thumbs. The condition can also affect development of other parts of the body. More than half of people with this condition have a mutation in the SF3B4 gene. These mutations prevent the production of SAP49 protein or lead to production of a nonfunctional protein. It is unclear how a shortage of functional SAP49 protein leads to the development problems in Nager syndrome. Researchers suspect that problems with spliceosome formation may impair mRNA processing and alter the activity of genes involved in development of several parts of the body. -
Anti-Phospho-SF3B1 (Sap155) (Ser129) Pab
PD043 Page 1 For Research Use Only. Not for use in diagnostic procedures. Anti-Phospho-SF3B1 (Sap155) (Ser129) pAb CODE No. PD043 CLONALITY Polyclonal ISOTYPE Rabbit Ig, affinity purified QUANTITY 100 L SOURCE Purified IgG from rabbit serum IMMUNOGEN KLH conjugated synthetic peptide, RTMII(pS)PERL (corresponding to amino acid residues 124-133 of human SF3B1) FORMURATION PBS containing 50% Glycerol (pH 7.2). No preservative is contained. STORAGE This antibody solution is stable for one year from the date of purchase when stored at -20°C. APPLICATION-CONFIRMED Western blotting 1:1000 for chemiluminescence detection system SPECIES CROSS REACTIVITY on WB Species Human Mouse Rat Hamster Cell HeLa, Raji NIH/3T3, WR19L Not tested Not tested Reactivity Entrez Gene ID 23451 (Human), 81898 (Mouse) REFERENCES 1) Wang, C., et al., Genes Dev. 12, 1409-1414 (1998) 2) Shi, Y., et al., Mol Cell 23, 819-829 (2006) 3) Tanuma, N., et al., J. Biol. Chem., 283, 35805-35814 (2008) 4) Yoshida, K., et al., Nature 478, 64-69 (2011) 5) Rossi, D., et al., Blood 118, 6904-6908 (2011) 6) Quesada, V., et al., Nat Genet 44, 47-52 (2011) 7) Wang, L., et al., N Engl J Med. 365, 2497-2506 (2011) 8) Biankin, A. V., et al., Nature 491, 399-405 (2012) For more information, please visit our web site http://ruo.mbl.co.jp/ MEDICAL & BIOLOGICAL LABORATORIES CO., LTD. URL http://ruo.mbl.co.jp/ e-mail [email protected], TEL 052-238-1904 PD043 Page 2 P a g RELATED PRODUCTS e PD043 Anti-Phospho-SF3B1 (Sap155) (Ser129) pAb D138-3 Anti-Sap155 (SF3B12) mAb D221-3 Anti-Sap155 (SF3B1) -
Supplementary Table S1. Upregulated Genes Differentially
Supplementary Table S1. Upregulated genes differentially expressed in athletes (p < 0.05 and 1.3-fold change) Gene Symbol p Value Fold Change 221051_s_at NMRK2 0.01 2.38 236518_at CCDC183 0.00 2.05 218804_at ANO1 0.00 2.05 234675_x_at 0.01 2.02 207076_s_at ASS1 0.00 1.85 209135_at ASPH 0.02 1.81 228434_at BTNL9 0.03 1.81 229985_at BTNL9 0.01 1.79 215795_at MYH7B 0.01 1.78 217979_at TSPAN13 0.01 1.77 230992_at BTNL9 0.01 1.75 226884_at LRRN1 0.03 1.74 220039_s_at CDKAL1 0.01 1.73 236520_at 0.02 1.72 219895_at TMEM255A 0.04 1.72 201030_x_at LDHB 0.00 1.69 233824_at 0.00 1.69 232257_s_at 0.05 1.67 236359_at SCN4B 0.04 1.64 242868_at 0.00 1.63 1557286_at 0.01 1.63 202780_at OXCT1 0.01 1.63 1556542_a_at 0.04 1.63 209992_at PFKFB2 0.04 1.63 205247_at NOTCH4 0.01 1.62 1554182_at TRIM73///TRIM74 0.00 1.61 232892_at MIR1-1HG 0.02 1.61 204726_at CDH13 0.01 1.6 1561167_at 0.01 1.6 1565821_at 0.01 1.6 210169_at SEC14L5 0.01 1.6 236963_at 0.02 1.6 1552880_at SEC16B 0.02 1.6 235228_at CCDC85A 0.02 1.6 1568623_a_at SLC35E4 0.00 1.59 204844_at ENPEP 0.00 1.59 1552256_a_at SCARB1 0.02 1.59 1557283_a_at ZNF519 0.02 1.59 1557293_at LINC00969 0.03 1.59 231644_at 0.01 1.58 228115_at GAREM1 0.01 1.58 223687_s_at LY6K 0.02 1.58 231779_at IRAK2 0.03 1.58 243332_at LOC105379610 0.04 1.58 232118_at 0.01 1.57 203423_at RBP1 0.02 1.57 AMY1A///AMY1B///AMY1C///AMY2A///AMY2B// 208498_s_at 0.03 1.57 /AMYP1 237154_at LOC101930114 0.00 1.56 1559691_at 0.01 1.56 243481_at RHOJ 0.03 1.56 238834_at MYLK3 0.01 1.55 213438_at NFASC 0.02 1.55 242290_at TACC1 0.04 1.55 ANKRD20A1///ANKRD20A12P///ANKRD20A2/// -
Monoclonal B-Cell Lymphocytosis Is Characterized by Mutations in CLL Putative Driver Genes and Clonal Heterogeneity Many Years Before Disease Progression
Leukemia (2014) 28, 2395–2424 © 2014 Macmillan Publishers Limited All rights reserved 0887-6924/14 www.nature.com/leu LETTERS TO THE EDITOR Monoclonal B-cell lymphocytosis is characterized by mutations in CLL putative driver genes and clonal heterogeneity many years before disease progression Leukemia (2014) 28, 2395–2398; doi:10.1038/leu.2014.226 (Beckton Dickinson) and data analyzed using Cell Quest software. On the basis of FACS (fluorescence-activated cell sorting) analysis, we observed after enrichment an average of 91% of CD19+ cells Monoclonal B-cell lymphocytosis (MBL) is defined as an asympto- (range 76–99%) and 91% of the CD19+ fraction were CD19+/CD5+ matic expansion of clonal B cells with less than 5 × 109/L cells in the cells (range 66–99%). We used the values of the CD19+/CD5+ peripheral blood and without other manifestations of chronic fraction to calculate the leukemic B-cell fraction and reduce any lymphocytic leukemia (CLL; for example, lymphadenopathy, cyto- significant contamination of non-clonal B cells in each biopsy. DNA penias, constitutional symptoms).1 Approximately 1% of the MBL was extracted from the clonal B cells and non-clonal (that is, T cells) cohort develops CLL per year. Evidence suggests that nearly all CLL cells using the Gentra Puregene Cell Kit (Qiagen, Hilden, Germany). 2 fi fi cases are preceded by an MBL state. Our understanding of the Extracted DNAs were ngerprinted to con rm the relationship genetic basis, clonal architecture and evolution in CLL pathogenesis between samples of the same MBL individual and to rule out sample has undergone significant improvements in the last few years.3–8 In cross-contamination between individuals. -
Supplementary Files for Understanding the Functional Impact of Copy Number Alterations in Breast Cancers Using a Network Modeling Approach
Electronic Supplementary Material (ESI) for Molecular BioSystems. This journal is © The Royal Society of Chemistry 2016 Supplementary files for Understanding the functional impact of copy number alterations in breast cancers using a network modeling approach Sriganesh Srihari1#, Murugan Kalimutho2#, Samir Lal3, Jitin Singla4, Dhaval Patel4, Peter T. Simpson3,5, Kum Kum Khanna2 and Mark A. Ragan1* 1Institute for Molecular Bioscience, The University of Queensland, St. Lucia, QLD 4072, Australia 2 QIMR-Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia 3 The University of Queensland, UQ Centre for Clinical Research, Brisbane, QLD 4029, Australia 4 Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India 5 The University of Queensland, School of Medicine, Brisbane, QLD 4006, Australia Supplementary website: http://bioinformatics.org.au/tools-data/ under NetStrat Section 4.1 of main text (Materials and Methods) Choosing cut-off A pair of genes (proteins) could be co-expressed due to a number of reasons – for example, by being co- regulated by the same transcription factor or due to co-functioning in a complex via direct interactions. To identify trans-associated genes we are only interested in gene pairs (i.e. interactions in the network) whose co- expression associates with the CNA of one or both genes. In Equation 2 (main manuscript), since we compute the weighted sum of CNAs, those gene pairs which do not exhibit any CNAs (zero or low CNAs) would be assigned zero or low weights and hence will not be accounted for. In addition, we would also like to discount gene pairs from the network that show low co-expression values, by using an cut-off on the co-expression. -
Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g. -
Clinical Application of Chromosomal Microarray Analysis for Fetuses With
Xu et al. Molecular Cytogenetics (2020) 13:38 https://doi.org/10.1186/s13039-020-00502-5 RESEARCH Open Access Clinical application of chromosomal microarray analysis for fetuses with craniofacial malformations Chenyang Xu1†, Yanbao Xiang1†, Xueqin Xu1, Lili Zhou1, Huanzheng Li1, Xueqin Dong1 and Shaohua Tang1,2* Abstract Background: The potential correlations between chromosomal abnormalities and craniofacial malformations (CFMs) remain a challenge in prenatal diagnosis. This study aimed to evaluate 118 fetuses with CFMs by applying chromosomal microarray analysis (CMA) and G-banded chromosome analysis. Results: Of the 118 cases in this study, 39.8% were isolated CFMs (47/118) whereas 60.2% were non-isolated CFMs (71/118). The detection rate of chromosomal abnormalities in non-isolated CFM fetuses was significantly higher than that in isolated CFM fetuses (26/71 vs. 7/47, p = 0.01). Compared to the 16 fetuses (16/104; 15.4%) with pathogenic chromosomal abnormalities detected by karyotype analysis, CMA identified a total of 33 fetuses (33/118; 28.0%) with clinically significant findings. These 33 fetuses included cases with aneuploidy abnormalities (14/118; 11.9%), microdeletion/microduplication syndromes (9/118; 7.6%), and other pathogenic copy number variations (CNVs) only (10/118; 8.5%).We further explored the CNV/phenotype correlation and found a series of clear or suspected dosage-sensitive CFM genes including TBX1, MAPK1, PCYT1A, DLG1, LHX1, SHH, SF3B4, FOXC1, ZIC2, CREBBP, SNRPB, and CSNK2A1. Conclusion: These findings enrich our understanding of the potential causative CNVs and genes in CFMs. Identification of the genetic basis of CFMs contributes to our understanding of their pathogenesis and allows detailed genetic counselling.