Applications of CRISPR/Cas9 Tools in Deciphering the Mechanisms of HIV-1 Persistence
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Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes
International Journal of Environmental Research and Public Health Article Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes Yueh-Han Hsu 1,2, Peng-Hui Wang 1,2,3,4,5 and Chia-Ming Chang 1,2,* 1 Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan; [email protected] (Y.-H.H.); [email protected] (P.-H.W.) 2 School of Medicine, National Yang-Ming University, Taipei 112, Taiwan 3 Institute of Clinical Medicine, National Yang-Ming University, Taipei 112, Taiwan 4 Department of Medical Research, China Medical University Hospital, Taichung 440, Taiwan 5 Female Cancer Foundation, Taipei 104, Taiwan * Correspondence: [email protected]; Tel.: +886-2-2875-7826; Fax: +886-2-5570-2788 Received: 27 April 2020; Accepted: 31 May 2020; Published: 2 June 2020 Abstract: Clear cell carcinoma of the ovary (ovarian clear cell carcinoma (OCCC)) is one epithelial ovarian carcinoma that is known to have a poor prognosis and a tendency for being refractory to treatment due to unclear pathogenesis. Published investigations of OCCC have mainly focused only on individual genes and lack of systematic integrated research to analyze the pathogenesis of OCCC in a genome-wide perspective. Thus, we conducted an integrated analysis using transcriptome datasets from a public domain database to determine genes that may be implicated in the pathogenesis involved in OCCC carcinogenesis. We used the data obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) DataSets. We found six interactive functional gene clusters in the pathogenesis network of OCCC, including ribosomal protein, eukaryotic translation initiation factors, lactate, prostaglandin, proteasome, and insulin-like growth factor. -
Comparative Transcriptomics Identifies Potential Stemness-Related Markers for Mesenchymal Stromal/Stem Cells
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.25.445659; this version posted May 26, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Comparative Transcriptomics Identifies Potential Stemness-Related Markers for Mesenchymal Stromal/Stem Cells Authors Myret Ghabriel 1, Ahmed El Hosseiny 1, 2, Ahmed Moustafa*1, 2 and Asma Amleh*1, 2 Affiliations 1Biotechnology Program, American University in Cairo, New Cairo 11835, Egypt 2Department of Biology, American University in Cairo, New Cairo 11835, Egypt *Corresponding authors: Ahmed Moustafa [email protected] Asma Amleh [email protected]. Abstract Mesenchymal stromal/stem cells (MSCs) are multipotent cells residing in multiple tissues with the capacity for self-renewal and differentiation into various cell types. These properties make them promising candidates for regenerative therapies. MSC identification is critical in yielding pure populations for successful therapeutic applications; however, the criteria for MSC identification proposed by the International Society for Cellular Therapy (ISCT) is inconsistent across different tissue sources. In this study, we aimed to identify potential markers to be used together with the ISCT’s criteria to provide a more accurate means of MSC identification. Thus, we carried out a comparative analysis of the expression of human and mouse MSCs derived from multiple tissues to identify the common differentially expressed genes. We show that six members of the proteasome degradation system are similarly expressed across MSCs derived from bone marrow, adipose tissue, amnion, and umbilical cord. -
Genome-Wide Transcript and Protein Analysis Reveals Distinct Features of Aging in the Mouse Heart
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.28.272260; this version posted April 21, 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. Genome-wide transcript and protein analysis reveals distinct features of aging in the mouse heart Isabela Gerdes Gyuricza1, Joel M. Chick2, Gregory R. Keele1, Andrew G. Deighan1, Steven C. Munger1, Ron Korstanje1, Steven P. Gygi3, Gary A. Churchill1 1The Jackson Laboratory, Bar Harbor, Maine 04609 USA; 2Vividion Therapeutics, San Diego, California 92121, USA; 3Harvard Medical School, Boston, Massachusetts 02115, USA Corresponding author: [email protected] Key words for online indexing: Heart Aging Transcriptomics Proteomics eQTL pQTL Stoichiometry ABSTRACT Investigation of the molecular mechanisms of aging in the human heart is challenging due to confounding factors, such as diet and medications, as well limited access to tissues. The laboratory mouse provides an ideal model to study aging in healthy individuals in a controlled environment. However, previous mouse studies have examined only a narrow range of the genetic variation that shapes individual differences during aging. Here, we analyzed transcriptome and proteome data from hearts of genetically diverse mice at ages 6, 12 and 18 months to characterize molecular changes that occur in the aging heart. Transcripts and proteins reveal distinct biological processes that are altered through the course of natural aging. Transcriptome analysis reveals a scenario of cardiac hypertrophy, fibrosis, and reemergence of fetal gene expression patterns. -
Identification of Key Genes Implicated in the Suppressive Function of Human FOXP3+CD25+CD4+ Regulatory T Cells Through the Analysis of Time‑Series Data
MOLECULAR MEDICINE REPORTS 17: 3647-3657, 2018 Identification of key genes implicated in the suppressive function of human FOXP3+CD25+CD4+ regulatory T cells through the analysis of time‑series data XIAOFENG BAI, HUA SHI, MINGXI YANG, YUANLIN WANG, ZHAOLIN SUN and SHUXIONG XU Department of Urology, Guizhou Provincial People's Hospital, Guiyang, Guizhou 550002, P.R. China Received July 14, 2016; Accepted April 27, 2017 DOI: 10.3892/mmr.2017.8366 Abstract. Human forkhead box P3 (FOXP3)+ cluster of differ- miR‑146b‑3p, miR‑146b‑5p and miR‑142‑5p, in addition to entiation (CD)25+CD4+ regulatory T cells (Tregs) are a type JAK2, IL2, and STAT5A may serve important roles in Treg of T cell that express CD4, CD25 and FOXP3, which are crit- function. ical for maintaining immune homeostasis. The present study aimed to determine the mechanisms underlying Treg func- Introduction tion. The GSE11292 dataset was downloaded from the Gene Expression Omnibus, which included data from Treg cells at Regulatory T cells (Tregs) are a subgroup of T cells that 19 time points (0-360 min) with an equal interval of 20 min, suppress proliferation of effector T cells, sustain toler- and corresponding repeated samples. However, data for Treg ance to self-antigens and regulate the immune system (1). cells at time point 120 min were missing. Using the Mfuzz As a type of T cell that expresses cluster of differen- package, the key genes were identified by clustering analysis. tiation (CD)4, CD25 and forkhead box P3 (FOXP3), human Subsequently, regulatory networks and protein-protein FOXP3+CD25+CD4+ Tregs are critical for maintaining interaction (PPI) networks were constructed and merged immune homeostasis (2). -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7 -
The Kinesin Spindle Protein Inhibitor Filanesib Enhances the Activity of Pomalidomide and Dexamethasone in Multiple Myeloma
Plasma Cell Disorders SUPPLEMENTARY APPENDIX The kinesin spindle protein inhibitor filanesib enhances the activity of pomalidomide and dexamethasone in multiple myeloma Susana Hernández-García, 1 Laura San-Segundo, 1 Lorena González-Méndez, 1 Luis A. Corchete, 1 Irena Misiewicz- Krzeminska, 1,2 Montserrat Martín-Sánchez, 1 Ana-Alicia López-Iglesias, 1 Esperanza Macarena Algarín, 1 Pedro Mogollón, 1 Andrea Díaz-Tejedor, 1 Teresa Paíno, 1 Brian Tunquist, 3 María-Victoria Mateos, 1 Norma C Gutiérrez, 1 Elena Díaz- Rodriguez, 1 Mercedes Garayoa 1* and Enrique M Ocio 1* 1Centro Investigación del Cáncer-IBMCC (CSIC-USAL) and Hospital Universitario-IBSAL, Salamanca, Spain; 2National Medicines Insti - tute, Warsaw, Poland and 3Array BioPharma, Boulder, Colorado, USA *MG and EMO contributed equally to this work ©2017 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2017.168666 Received: March 13, 2017. Accepted: August 29, 2017. Pre-published: August 31, 2017. Correspondence: [email protected] MATERIAL AND METHODS Reagents and drugs. Filanesib (F) was provided by Array BioPharma Inc. (Boulder, CO, USA). Thalidomide (T), lenalidomide (L) and pomalidomide (P) were purchased from Selleckchem (Houston, TX, USA), dexamethasone (D) from Sigma-Aldrich (St Louis, MO, USA) and bortezomib from LC Laboratories (Woburn, MA, USA). Generic chemicals were acquired from Sigma Chemical Co., Roche Biochemicals (Mannheim, Germany), Merck & Co., Inc. (Darmstadt, Germany). MM cell lines, patient samples and cultures. Origin, authentication and in vitro growth conditions of human MM cell lines have already been characterized (17, 18). The study of drug activity in the presence of IL-6, IGF-1 or in co-culture with primary bone marrow mesenchymal stromal cells (BMSCs) or the human mesenchymal stromal cell line (hMSC–TERT) was performed as described previously (19, 20). -
Essential Gene Profiles in Breast, Pancreatic, and Ovarian Cancer Cells
Published OnlineFirst December 29, 2011; DOI: 10.1158/2159-8290.CD-11-0224 ReseaRch aRticLe Essential Gene Profiles in Breast, Pancreatic, and Ovarian Cancer Cells Richard Marcotte4, Kevin R. Brown1, Fernando Suarez4, Azin Sayad1, Konstantina Karamboulas1, Paul M. Krzyzanowski4, Fabrice Sircoulomb4, Mauricio Medrano3,4, Yaroslav Fedyshyn1, Judice L.Y. Koh1, Dewald van Dyk1, Bohdana Fedyshyn1, Marianna Luhova1, Glauber C. Brito1, Franco J. Vizeacoumar1, Frederick S. Vizeacoumar5, Alessandro Datti5,7, Dahlia Kasimer1, Alla Buzina1, Patricia Mero1, Christine Misquitta1, Josee Normand4, Maliha Haider4, Troy Ketela1, Jeffrey L. Wrana2,5, Robert Rottapel3,4,6, Benjamin G. Neel3,4, and Jason Moffat1,2 Downloaded from cancerdiscovery.aacrjournals.org on October 1, 2021. © 2012 American Association for Cancer Research. Published OnlineFirst December 29, 2011; DOI: 10.1158/2159-8290.CD-11-0224 The BATTLE Trial: Personalizing Therapy for Lung Cancer rEsEarCh artiClE a bstRact Genomic analyses are yielding a host of new information on the multiple genetic abnormalities associated with specific types of cancer. A comprehensive de- scription of cancer-associated genetic abnormalities can improve our ability to classify tumors into clinically relevant subgroups and, on occasion, identify mutant genes that drive the cancer pheno- type (“drivers”). More often, though, the functional significance of cancer-associated mutations is difficult to discern. Genome-wide pooled short hairpin RNA (shRNA) screens enable global identifi- cation of the genes essential for cancer cell survival and proliferation, providing a “functional ge- nomic” map of human cancer to complement genomic studies. Using a lentiviral shRNA library targeting ~16,000 genes and a newly developed, dynamic scoring approach, we identified essential gene profiles in 72 breast, pancreatic, and ovarian cancer cell lines. -
Bioinformatics Analysis of the CDK2 Functions in Neuroblastoma
MOLECULAR MEDICINE REPORTS 17: 3951-3959, 2018 Bioinformatics analysis of the CDK2 functions in neuroblastoma LIJUAN BO1*, BO WEI2*, ZHANFENG WANG2, DALIANG KONG3, ZHENG GAO2 and ZHUANG MIAO2 Departments of 1Infections, 2Neurosurgery and 3Orthopaedics, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China Received December 20, 2016; Accepted November 14, 2017 DOI: 10.3892/mmr.2017.8368 Abstract. The present study aimed to elucidate the poten- childhood cancer mortality (1,2). Despite intensive myeloabla- tial mechanism of cyclin-dependent kinase 2 (CDK2) in tive chemotherapy, survival rates for neuroblastoma have not neuroblastoma progression and to identify the candidate substantively improved; relapse is common and frequently genes associated with neuroblastoma with CDK2 silencing. leads to mortality (3,4). Like most human cancers, this child- The microarray data of GSE16480 were obtained from the hood cancer can be inherited; however, the genetic aetiology gene expression omnibus database. This dataset contained remains to be elucidated (3). Therefore, an improved under- 15 samples: Neuroblastoma cell line IMR32 transfected standing of the genetics and biology of neuroblastoma may with CDK2 shRNA at 0, 8, 24, 48 and 72 h (n=3 per group; contribute to further cancer therapies. total=15). Significant clusters associated with differen- In terms of genetics, neuroblastoma tumors from patients tially expressed genes (DEGs) were identified using fuzzy with aggressive phenotypes often exhibit significant MYCN C-Means algorithm in the Mfuzz package. Gene ontology and proto-oncogene, bHLH transcription factor (MYCN) amplifi- pathway enrichment analysis of DEGs in each cluster were cation and are strongly associated with a poor prognosis (5). -
Supplementary Table 4: the Association of the 26S Proteasome
Supplementary Material (ESI) for Molecular BioSystems This journal is (c) The Royal Society of Chemistry, 2009 Supplementary Table 4: The association of the 26S proteasome and tumor progression/metastasis Note: the associateion between cancer and the 26S proteasome genes has been manually checked in PubMed a) GSE2514 (Lung cancer, 20 tumor and 19 normal samples; 25 out of 43 26S proteasome genes were mapped on the microarray platform. FWER p-value: 0.02) Entrez GeneID Gene Symbol RANK METRIC SCORE* Genes have been reported in cancer 10213 PSMD14 0.288528293 5710 PSMD4 0.165639699 Kim et al., Mol Cancer Res., 6:426, 2008 5713 PSMD7 0.147187442 5721 PSME2 0.130215749 5717 PSMD11 0.128598183 Deng et al., Breast Cancer Research and Treatment, 104:1067, 2007 5704 PSMC4 0.123157509 5706 PSMC6 0.115970835 5716 PSMD10 0.112173758 Mayer et al., Biochem Society Transaction, 34:746, 2006 5700 PSMC1 0.0898761 Kim et al., Mol Cancer Res., 6:426, 2008 5701 PSMC2 0.081513479 Cui et al., Proteomics, 6:498, 2005 5709 PSMD3 0.071682706 5719 PSMD13 0.071118504 7415 VCP 0.060464829 9861 PSMD6 0.055711303 Ren et al., Oncogene, 19:1419, 2000 5720 PSME1 0.052469168 5714 PSMD8 0.047414459 Deng et al., Breast Cancer Research and Treatment, 104:1067, 2007 5702 PSMC3 0.046327863 Pollice et al., JBC, 279:6345, 2003 6184 RPN1 0.043426223 55559 UCHL5IP 0.041885283 5705 PSMC5 0.041615516 5715 PSMD9 0.033147983 5711 PSMD5 0.030562362 Deng et al., Breast Cancer Research and Treatment, 104:1067, 2007 10197 PSME3 0.015149679 Roessler et al., Molecular & Cellular Proteomics 5:2092, 2006 5718 PSMD12 -0.00983229 Cui et al., Proteomics, 6:498, 2005 9491 PSMF1 -0.069156095 *Positive rank metric score represent that a gene is highly expressed in tumors. -
Proteasome 26S Subunit, Non-Atpases 1 (PSMD1) and 3 (PSMD3), Play an Oncogenic Role in Chronic Myeloid Leukemia by Stabilizing Nuclear Factor-Kappa B
Oncogene (2021) 40:2697–2710 https://doi.org/10.1038/s41388-021-01732-6 ARTICLE Proteasome 26S subunit, non-ATPases 1 (PSMD1) and 3 (PSMD3), play an oncogenic role in chronic myeloid leukemia by stabilizing nuclear factor-kappa B 1 1 2 1 3 Alfonso E. Bencomo-Alvarez ● Andres J. Rubio ● Idaly M. Olivas ● Mayra A. Gonzalez ● Rebecca Ellwood ● 3 4 1 5 6 Carme Ripoll Fiol ● Christopher A. Eide ● Joshua J. Lara ● Christian Barreto-Vargas ● Luis F. Jave-Suarez ● 3,7 8 3 4 3 Georgios Nteliopoulos ● Alistair G. Reid ● Dragana Milojkovic ● Brian J. Druker ● Jane Apperley ● 3 1,2 Jamshid S. Khorashad ● Anna M. Eiring Received: 22 September 2020 / Revised: 19 February 2021 / Accepted: 23 February 2021 / Published online: 12 March 2021 © The Author(s) 2021. This article is published with open access Abstract Tyrosine kinase inhibitors (TKIs) targeting BCR-ABL1 have revolutionized therapy for chronic myeloid leukemia (CML), paving the way for clinical development in other diseases. Despite success, targeting leukemic stem cells and overcoming drug resistance remain challenges for curative cancer therapy. To identify drivers of kinase-independent TKI resistance in 1234567890();,: 1234567890();,: CML, we performed genome-wide expression analyses on TKI-resistant versus sensitive CML cell lines, revealing a nuclear factor-kappa B (NF-κB) expression signature. Nucleocytoplasmic fractionation and luciferase reporter assays confirmed increased NF-κB activity in the nucleus of TKI-resistant versus sensitive CML cell lines and CD34+ patient samples. Two genes that were upregulated in TKI-resistant CML cells were proteasome 26S subunit, non-ATPases 1 (PSMD1) and 3 (PSMD3), both members of the 19S regulatory complex in the 26S proteasome. -
Identification of Key Candidate Genes Involved in Melanoma Metastasis
MOLECULAR meDICINE rePorTS 20: 903-914, 2019 Identification of key candidate genes involved in melanoma metastasis JIA CHEN1*, FEI WU1*, YU SHI2*, DEGANG YANG3, MINGYUAN XU1, YONGXIAN LAI4 and YEQIANG LIU1 Departments of 1Dermatopathology, 2Medical Cosmetology, 3Treatment and 4Dermatologic Surgery, Tongji University Affiliated Shanghai Skin Disease Hospital, Shanghai 200443, P.R. China Received May 10, 2018; Accepted January 18, 2019 DOI: 10.3892/mmr.2019.10314 Abstract. Metastasis is the most lethal stage of cancer phosphoinositide-3-kinase regulator subunit 3 (PIK3R3), progression. The present study aimed to investigate the centromere protein M (CENPM), aurora kinase A (AURKA), underlying molecular mechanisms of melanoma metastasis laminin subunit α 1 (LAMA1), proliferating cell nuclear using bioinformatics. Using the microarray dataset GSE8401 antigen (PCNA), adenylate cyclase 1 (ADCY1), BUB1 from the Gene Expression Omnibus database, which mitotic checkpoint serine/threonine kinase (BUB1), NDC80 included 52 biopsy specimens from patients with melanoma kinetochore complex component (NDC80) and protein metastasis and 31 biopsy specimens from patients with kinase C α (PRKCA) in DEGs was statistically significant. primary melanoma, differentially expressed genes (DEGs) Mutation gene analysis identified that BRCA1-associated were identified, subsequent to data preprocessing with protein 1 (BAP1) had a higher mutation frequency and survival the affy package, followed by Gene Ontology and Kyoto analysis, and its associated genes in the BAP1-associated Encyclopedia of Genes and Genomes (KEGG) pathway PPI network, including ASXL transcriptional regulator 1 enrichment analyses. A protein-protein interaction (PPI) (ASXL1), proteasome 26S subunit, non-ATPase 3 (PSMD3), network was constructed. Mutated genes were analyzed with proteasome 26S subunit, non ATPase 11 (PSMD11) and 80 mutated cases with melanoma from The Cancer Genome ubiquitin C (UBC), were statistically significantly associated Atlas. -
Comparative Proteomic Analysis of Extracellular Vesicles From
University of Texas at El Paso DigitalCommons@UTEP Open Access Theses & Dissertations 2016-01-01 Comparative Proteomic Analysis Of Extracellular Vesicles From Prostate Cancer-Derived Cell Lines Gloria Polanco University of Texas at El Paso, [email protected] Follow this and additional works at: https://digitalcommons.utep.edu/open_etd Part of the Biology Commons, Cell Biology Commons, and the Molecular Biology Commons Recommended Citation Polanco, Gloria, "Comparative Proteomic Analysis Of Extracellular Vesicles From Prostate Cancer-Derived Cell Lines" (2016). Open Access Theses & Dissertations. 728. https://digitalcommons.utep.edu/open_etd/728 This is brought to you for free and open access by DigitalCommons@UTEP. It has been accepted for inclusion in Open Access Theses & Dissertations by an authorized administrator of DigitalCommons@UTEP. For more information, please contact [email protected]. COMPARATIVE PROTEOMIC ANALYSIS OF EXTRACELLULAR VESICLES FROM PROSTATE CANCER-DERIVED CELL LINES GLORIA POLANCO Doctoral Program in Biological Sciences APPROVED: Igor Almeida, Ph.D., Chair Marc Cox, Ph.D., co-chair Siddhartha Das, Ph.D. Giulio Francia, Ph.D. Mahesh Narayan, PhD Charles Ambler, Ph.D. Dean of the Graduate School Copyright © by Gloria Polanco 2016 Dedication To my family, friends, and mentors. ISOLATION, CHARACTERIZATION, AND COMPARATIVE PROTEOMIC ANALYSIS OF EXTRACELLULAR VESICLES FROM PROSTATE CANCER-DERIVED CELL LINES by GLORIA POLANCO, B.S. DISSERTATION Presented to the Faculty of the Graduate School of The University of Texas at El Paso in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Biological Sciences THE UNIVERSITY OF TEXAS AT EL PASO August 2016 Acknowledgements I would first like to state that the completion of this work was a large collaborative effort, and involved the kind dedication of very talented scientists from around the world including: Dr.