Proteomic Analysis of Bone Marrow
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Bioinformatics Identi Cation of Prognostic Factors Associated With
Bioinformatics Identication of Prognostic Factors Associated with Breast Cancer Ying Wei Sichuan University https://orcid.org/0000-0001-8178-4705 Shipeng Zhang College of Pharmacy, North Sichuan Medical College Li Xiao West China School of Basic Medical Sciences and Forensic Medicine Jing Zou West China School of Basic Medical Sciences and Forensic Medicine Yingqing Fu West China School of Basic Medical Sciences and Forensic Medicine Yi Ye West China School of Basic Medical Sciences and Forensic Medicine Linchuan Liao ( [email protected] ) West China School of Basic Medical Sciences and Forensic Medicine https://orcid.org/0000-0003-3700-8471 Research Keywords: Breast cancer, Differentially expressed genes, miRNAs, Transcription factors, Bioinformatic analysis Posted Date: December 2nd, 2020 DOI: https://doi.org/10.21203/rs.3.rs-117477/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/23 Abstract Background: Breast cancer (BRCA) remains one of the most common forms of cancer and is the most prominent driver of cancer-related death among women. The mechanistic basis for BRCA, however, remains incompletely understood. In particular, the relationships between driver mutations and signaling pathways in BRCA are poorly characterized, making it dicult to identify reliable clinical biomarkers that can be employed in diagnostic, therapeutic, or prognostic contexts. Methods: First, we downloaded publically available BRCA datasets (GSE45827, GSE42568, and GSE61304) from the Gene Expression Omnibus (GEO) database. We then compared gene expression proles between tumor and control tissues in these datasets using Venn diagrams and the GEO2R analytical tool. We further explore the functional relevance of BRCA-associated differentially expressed genes (DEGs) via functional and pathway enrichment analyses using the DAVID tool, and we then constructed a protein-protein interaction network incorporating DEGs of interest using the Search Tool for the Retrieval of Interacting Genes (STRING) database. -
View of HER2: Human Epidermal Growth Factor Receptor 2; TNBC: Triple-Negative Breast Resistance to Systemic Therapy in Patients with Breast Cancer
Wen et al. Cancer Cell Int (2018) 18:128 https://doi.org/10.1186/s12935-018-0625-9 Cancer Cell International PRIMARY RESEARCH Open Access Sulbactam‑enhanced cytotoxicity of doxorubicin in breast cancer cells Shao‑hsuan Wen1†, Shey‑chiang Su2†, Bo‑huang Liou3, Cheng‑hao Lin1 and Kuan‑rong Lee1* Abstract Background: Multidrug resistance (MDR) is a major obstacle in breast cancer treatment. The predominant mecha‑ nism underlying MDR is an increase in the activity of adenosine triphosphate (ATP)-dependent drug efux trans‑ porters. Sulbactam, a β-lactamase inhibitor, is generally combined with β-lactam antibiotics for treating bacterial infections. However, sulbactam alone can be used to treat Acinetobacter baumannii infections because it inhibits the expression of ATP-binding cassette (ABC) transporter proteins. This is the frst study to report the efects of sulbactam on mammalian cells. Methods: We used the breast cancer cell lines as a model system to determine whether sulbactam afects cancer cells. The cell viabilities in the present of doxorubicin with or without sulbactam were measured by MTT assay. Protein identities and the changes in protein expression levels in the cells after sulbactam and doxorubicin treatment were determined using LC–MS/MS. Real-time reverse transcription polymerase chain reaction (real-time RT-PCR) was used to analyze the change in mRNA expression levels of ABC transporters after treatment of doxorubicin with or without sulbactam. The efux of doxorubicin was measures by the doxorubicin efux assay. Results: MTT assay revealed that sulbactam enhanced the cytotoxicity of doxorubicin in breast cancer cells. The results of proteomics showed that ABC transporter proteins and proteins associated with the process of transcription and initiation of translation were reduced. -
Cyclin D1 Is a Direct Transcriptional Target of GATA3 in Neuroblastoma Tumor Cells
Oncogene (2010) 29, 2739–2745 & 2010 Macmillan Publishers Limited All rights reserved 0950-9232/10 $32.00 www.nature.com/onc SHORT COMMUNICATION Cyclin D1 is a direct transcriptional target of GATA3 in neuroblastoma tumor cells JJ Molenaar1,2, ME Ebus1, J Koster1, E Santo1, D Geerts1, R Versteeg1 and HN Caron2 1Department of Human Genetics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands and 2Department of Pediatric Oncology, Emma Kinderziekenhuis, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands Almost all neuroblastoma tumors express excess levels of 2000). Several checkpoints normally prevent premature Cyclin D1 (CCND1) compared to normal tissues and cell-cycle progression and cell division. The crucial G1 other tumor types. Only a small percentage of these entry point is controlled by the D-type Cyclins that can neuroblastoma tumors have high-level amplification of the activate CDK4/6 that in turn phosphorylate the pRb Cyclin D1 gene. The other neuroblastoma tumors have protein. This results in a release of the E2F transcription equally high Cyclin D1 expression without amplification. factor that causes transcriptional upregulation of Silencing of Cyclin D1 expression was previously found to numerous genes involved in further progression of the trigger differentiation of neuroblastoma cells. Over- cell cycle (Sherr, 1996). expression of Cyclin D1 is therefore one of the most Neuroblastomas are embryonal tumors that originate frequent mechanisms with a postulated function in neuro- from precursor cells of the sympathetic nervous system. blastoma pathogenesis. The cause for the Cyclin D1 This tumor has a very poor prognosis and despite the overexpression is unknown. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Transcriptomic Analysis of the Aquaporin (AQP) Gene Family
Pancreatology 19 (2019) 436e442 Contents lists available at ScienceDirect Pancreatology journal homepage: www.elsevier.com/locate/pan Transcriptomic analysis of the Aquaporin (AQP) gene family interactome identifies a molecular panel of four prognostic markers in patients with pancreatic ductal adenocarcinoma Dimitrios E. Magouliotis a, b, Vasiliki S. Tasiopoulou c, Konstantinos Dimas d, * Nikos Sakellaridis d, Konstantina A. Svokos e, Alexis A. Svokos f, Dimitris Zacharoulis b, a Division of Surgery and Interventional Science, Faculty of Medical Sciences, UCL, London, UK b Department of Surgery, University of Thessaly, Biopolis, Larissa, Greece c Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, Larissa, Greece d Department of Pharmacology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, Larissa, Greece e The Warren Alpert Medical School of Brown University, Providence, RI, USA f Riverside Regional Medical Center, Newport News, VA, USA article info abstract Article history: Background: This study aimed to assess the differential gene expression of aquaporin (AQP) gene family Received 14 October 2018 interactome in pancreatic ductal adenocarcinoma (PDAC) using data mining techniques to identify novel Received in revised form candidate genes intervening in the pathogenicity of PDAC. 29 January 2019 Method: Transcriptome data mining techniques were used in order to construct the interactome of the Accepted 9 February 2019 AQP gene family and to determine which genes members are differentially expressed in PDAC as Available online 11 February 2019 compared to controls. The same techniques were used in order to evaluate the potential prognostic role of the differentially expressed genes. Keywords: PDAC Results: Transcriptome microarray data of four GEO datasets were incorporated, including 142 primary Aquaporin tumor samples and 104 normal pancreatic tissue samples. -
Alterations of Genetic Variants and Transcriptomic Features of Response to Tamoxifen in the Breast Cancer Cell Line
Alterations of Genetic Variants and Transcriptomic Features of Response to Tamoxifen in the Breast Cancer Cell Line Mahnaz Nezamivand-Chegini Shiraz University Hamed Kharrati-Koopaee Shiraz University https://orcid.org/0000-0003-2345-6919 seyed taghi Heydari ( [email protected] ) Shiraz University of Medical Sciences https://orcid.org/0000-0001-7711-1137 Hasan Giahi Shiraz University Ali Dehshahri Shiraz University of Medical Sciences Mehdi Dianatpour Shiraz University of Medical Sciences Kamran Bagheri Lankarani Shiraz University of Medical Sciences Research Keywords: Tamoxifen, breast cancer, genetic variants, RNA-seq. Posted Date: August 17th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-783422/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/33 Abstract Background Breast cancer is one of the most important causes of mortality in the world, and Tamoxifen therapy is known as a medication strategy for estrogen receptor-positive breast cancer. In current study, two hypotheses of Tamoxifen consumption in breast cancer cell line (MCF7) were investigated. First, the effect of Tamoxifen on genes expression prole at transcriptome level was evaluated between the control and treated samples. Second, due to the fact that Tamoxifen is known as a mutagenic factor, there may be an association between the alterations of genetic variants and Tamoxifen treatment, which can impact on the drug response. Methods In current study, the whole-transcriptome (RNA-seq) dataset of four investigations (19 samples) were derived from European Bioinformatics Institute (EBI). At transcriptome level, the effect of Tamoxifen was investigated on gene expression prole between control and treatment samples. -
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. -
Warsaw Breakage Syndrome DDX11 Helicase Acts Jointly with RAD17 in the Repair of Bulky Lesions and Replication Through Abasic Sites
Warsaw breakage syndrome DDX11 helicase acts jointly with RAD17 in the repair of bulky lesions and replication through abasic sites Takuya Abea,b,1, Masato Ookaa,b,1, Ryotaro Kawasumia, Keiji Miyatab, Minoru Takatac, Kouji Hirotab, and Dana Branzeia,d,2 aDNA Repair lab, IFOM, Fondazione Italiana per la Ricerca sul Cancro Institute of Molecular Oncology, 20139 Milan, Italy; bDepartment of Chemistry, Graduate School of Science, Tokyo Metropolitan University, Hachioji-shi, 192-0397 Tokyo, Japan; cLaboratory of DNA Damage Signaling, Radiation Biology Center, Kyoto University, 606-8501 Kyoto, Japan; and dIstituto di Genetica Molecolare, Consiglio Nazionale delle Ricerche, 27100 Pavia, Italy Edited by Philip C. Hanawalt, Stanford University, Stanford, CA, and approved June 28, 2018 (received for review February 21, 2018) Warsaw breakage syndrome, a developmental disorder caused by genes result in impaired ability of cells to deal with certain mutations in the DDX11/ChlR1 helicase, shows cellular features of forms of DNA damage, such as endogenous formaldehyde (9), genome instability similar to Fanconi anemia (FA). Here we report and lead to a hereditary disorder, FA, characterized by bone that DDX11-deficient avian DT40 cells exhibit interstrand crosslink marrow failure, developmental abnormalities, and predisposition (ICL)-induced chromatid breakage, with DDX11 functioning as to cancer. backup for the FA pathway in regard to ICL repair. Importantly, The central components of the FA pathway, FANCD2 and we establish that DDX11 acts jointly with the 9-1-1 checkpoint FANCI, interact with each other (10), and are monoubiquitylated – clamp and its loader, RAD17, primarily in a postreplicative fashion, by the FA core complex. -
AURKA, DLGAP5, TPX2, KIF11 and CKAP5: Five Specific Mitosis-Associated Genes Correlate with Poor Prognosis for Non-Small Cell Lung Cancer Patients
INTERNATIONAL JOURNAL OF ONCOLOGY 50: 365-372, 2017 AURKA, DLGAP5, TPX2, KIF11 and CKAP5: Five specific mitosis-associated genes correlate with poor prognosis for non-small cell lung cancer patients MARC A. SCHNEIDER1,8, PETROS CHristopoulos2,8, THOMAS MULEY1,8, ARNE WartH5,8, URSULA KLINGMUELLER6,8,9, MICHAEL THOMAS2,8, FELIX J.F. HertH3,8, HENDRIK DIENEMANN4,8, NIKOLA S. MUELLER7,9, FABIAN THEIS7,9 and MICHAEL MEISTER1,8,9 1Translational Research Unit, 2Department of Thoracic Oncology, 3Department of Pneumology and Critical Care Medicine, and 4Department of Surgery, Thoraxklinik at University Hospital Heidelberg, Heidelberg; 5Institute of Pathology, University of Heidelberg, Heidelberg; 6Systems Biology of Signal Transduction, German Cancer Research Center, Heidelberg; 7Cellular Dynamics and Cell Patterning, Max Planck Institute of Biochemistry, Martinsried; 8Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL) Heidelberg; 9CancerSys network ‘LungSysII’, Heidelberg, Germany Received October 26, 2016; Accepted December 5, 2016 DOI: 10.3892/ijo.2017.3834 Abstract. The growth of a tumor depends to a certain extent genes AURKA, DLGAP5, TPX2, KIF11 and CKAP5 is asso- on an increase in mitotic events. Key steps during mitosis are ciated with the prognosis of NSCLC patients. the regulated assembly of the spindle apparatus and the sepa- ration of the sister chromatids. The microtubule-associated Introduction protein Aurora kinase A phosphorylates DLGAP5 in order to correctly segregate the chromatids. Its activity and recruitment Lung cancer is globally the leading cause of cancer-related to the spindle apparatus is regulated by TPX2. KIF11 and deaths (1). Non-small cell lung cancer (NSCLC), which accounts CKAP5 control the correct arrangement of the microtubules for more than 80% of all cases, is divided in adenocarcinoma and prevent their degradation. -
AURKA Mrna Expression Is an Independent Predictor of Poor Prognosis in Patients with Non-Small Cell Lung Cancer
ONCOLOGY LETTERS 13: 4463-4468, 2017 AURKA mRNA expression is an independent predictor of poor prognosis in patients with non-small cell lung cancer AHMED S.K. AL‑KHAFAJI1,2, MICHAEL W. MARCUS1, MICHAEL P.A. DAVIES1, JANET M. RISK1, RICHARD J. SHAW1, JOHN K. FIELD1 and TRIANTAFILLOS LILOGLOU1 1Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool L7 8TX, UK; 2Department of Biology, College of Science, University of Baghdad, Al‑Jadriya, Baghdad 10070, Iraq Received September 12, 2016; Accepted January 17, 2017 DOI: 10.3892/ol.2017.6012 Abstract. Deregulation of mitotic spindle genes has been Introduction reported to contribute to the development and progression of malignant tumours. The aim of the present study was to Lung cancer is the most common cause of cancer-associated explore the association between the expression profiles of mortality in the UK for both males and females (1), and Aurora kinases (AURKA, AURKB and AURKC), cytoskel- >1/5 patients with cancer succumb to this malignancy world- eton-associated protein 5 (CKAP5), discs large-associated wide (2). Non-small cell lung carcinoma (NSCLC) accounts protein 5 (DLGAP5), kinesin-like protein 11 (KIF11), micro- for 80-85% of all cases of lung cancer, and develops through tubule nucleation factor (TPX2), monopolar spindle 1 kinase the accumulation of molecular alterations, which may serve as (TTK), and β-tubulins (TUBB) and (TUBB3) genes and clini- prognostic biomarkers for NSCLC outcome (3). copathological characteristics in human non-small cell lung Mitotic spindle formation and the spindle checkpoint are carcinoma (NSCLC). Reverse transcription-quantitative poly- critical for the maintenance of cell division and chromosome merase chain reaction‑based RNA gene expression profiles of segregation (4). -
Downloaded the “Top Edge” Version
bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 2019. 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 Drosophila models of pathogenic copy-number variant genes show global and 2 non-neuronal defects during development 3 Short title: Non-neuronal defects of fly homologs of CNV genes 4 Tanzeen Yusuff1,4, Matthew Jensen1,4, Sneha Yennawar1,4, Lucilla Pizzo1, Siddharth 5 Karthikeyan1, Dagny J. Gould1, Avik Sarker1, Yurika Matsui1,2, Janani Iyer1, Zhi-Chun Lai1,2, 6 and Santhosh Girirajan1,3* 7 8 1. Department of Biochemistry and Molecular Biology, Pennsylvania State University, 9 University Park, PA 16802 10 2. Department of Biology, Pennsylvania State University, University Park, PA 16802 11 3. Department of Anthropology, Pennsylvania State University, University Park, PA 16802 12 4 contributed equally to work 13 14 *Correspondence: 15 Santhosh Girirajan, MBBS, PhD 16 205A Life Sciences Building 17 Pennsylvania State University 18 University Park, PA 16802 19 E-mail: [email protected] 20 Phone: 814-865-0674 21 1 bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 2019. 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. 22 ABSTRACT 23 While rare pathogenic copy-number variants (CNVs) are associated with both neuronal and non- 24 neuronal phenotypes, functional studies evaluating these regions have focused on the molecular 25 basis of neuronal defects. -
A Molecular Classification of Human Mesenchymal Stromal Cells Florian Rohart1, Elizabeth Mason1, Nicholas Matigian1, Rowland
bioRxiv preprint doi: https://doi.org/10.1101/024414; this version posted August 11, 2015. 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. Rohart'et'al,'The'MSC'Signature' 1' 1' A Molecular Classification of Human Mesenchymal Stromal Cells 2' Florian Rohart1, Elizabeth Mason1, Nicholas Matigian1, Rowland Mosbergen1, 3' Othmar Korn1, Tyrone Chen1, Suzanne Butcher1, Jatin Patel2, Kerry Atkinson2, 4' Kiarash Khosrotehrani2,3, Nicholas M Fisk2,4, Kim-Anh Lê Cao3 and Christine A 5' Wells1,5* 6' 1 Australian Institute for Bioengineering and Nanotechnology, The University of 7' Queensland, Brisbane, QLD Australia 4072 8' 2 The University of Queensland Centre for Clinical Research, Herston, Brisbane, 9' Queensland, Australia, 4029 10' 3 The University of Queensland Diamantina Institute, Translational Research 11' Institute, Woolloongabba, Brisbane QLD Australia, 4102 12' 4 Centre for Advanced Prenatal Care, Royal Brisbane & Women’s Hospital, Herston, 13' Brisbane, Queensland, Australia, 4029 14' 5 Institute for Infection, Immunity and Inflammation, College of Medical, Veterinary & 15' Life Sciences, The University of Glasgow, Scotland, UK G12 8TA 16' *Correspondence to: Christine Wells, [email protected] 17' bioRxiv preprint doi: https://doi.org/10.1101/024414; this version posted August 11, 2015. 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.