Dynamics and Function of Distal Regulatory Elements During Neurogenesis and Neuroplasticity
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Core Transcriptional Regulatory Circuitries in Cancer
Oncogene (2020) 39:6633–6646 https://doi.org/10.1038/s41388-020-01459-w REVIEW ARTICLE Core transcriptional regulatory circuitries in cancer 1 1,2,3 1 2 1,4,5 Ye Chen ● Liang Xu ● Ruby Yu-Tong Lin ● Markus Müschen ● H. Phillip Koeffler Received: 14 June 2020 / Revised: 30 August 2020 / Accepted: 4 September 2020 / Published online: 17 September 2020 © The Author(s) 2020. This article is published with open access Abstract Transcription factors (TFs) coordinate the on-and-off states of gene expression typically in a combinatorial fashion. Studies from embryonic stem cells and other cell types have revealed that a clique of self-regulated core TFs control cell identity and cell state. These core TFs form interconnected feed-forward transcriptional loops to establish and reinforce the cell-type- specific gene-expression program; the ensemble of core TFs and their regulatory loops constitutes core transcriptional regulatory circuitry (CRC). Here, we summarize recent progress in computational reconstitution and biologic exploration of CRCs across various human malignancies, and consolidate the strategy and methodology for CRC discovery. We also discuss the genetic basis and therapeutic vulnerability of CRC, and highlight new frontiers and future efforts for the study of CRC in cancer. Knowledge of CRC in cancer is fundamental to understanding cancer-specific transcriptional addiction, and should provide important insight to both pathobiology and therapeutics. 1234567890();,: 1234567890();,: Introduction genes. Till now, one critical goal in biology remains to understand the composition and hierarchy of transcriptional Transcriptional regulation is one of the fundamental mole- regulatory network in each specified cell type/lineage. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
2017.08.28 Anne Barry-Reidy Thesis Final.Pdf
REGULATION OF BOVINE β-DEFENSIN EXPRESSION THIS THESIS IS SUBMITTED TO THE UNIVERSITY OF DUBLIN FOR THE DEGREE OF DOCTOR OF PHILOSOPHY 2017 ANNE BARRY-REIDY SCHOOL OF BIOCHEMISTRY & IMMUNOLOGY TRINITY COLLEGE DUBLIN SUPERVISORS: PROF. CLIONA O’FARRELLY & DR. KIERAN MEADE TABLE OF CONTENTS DECLARATION ................................................................................................................................. vii ACKNOWLEDGEMENTS ................................................................................................................... viii ABBREVIATIONS ................................................................................................................................ix LIST OF FIGURES............................................................................................................................. xiii LIST OF TABLES .............................................................................................................................. xvii ABSTRACT ........................................................................................................................................xix Chapter 1 Introduction ........................................................................................................ 1 1.1 Antimicrobial/Host-defence peptides ..................................................................... 1 1.2 Defensins................................................................................................................. 1 1.3 β-defensins ............................................................................................................. -
TINCR Inhibits the Proliferation and Invasion of Laryngeal Squamous Cell
He et al. BMC Cancer (2021) 21:753 https://doi.org/10.1186/s12885-021-08513-0 RESEARCH ARTICLE Open Access TINCR inhibits the proliferation and invasion of laryngeal squamous cell carcinoma by regulating miR-210/BTG2 Guoqing He1†, Rui Pang2†, Jihua Han2, Jinliang Jia2, Zhaoming Ding2, Wen Bi2, Jiawei Yu2, Lili Chen2, Jiewu Zhang2* and Yanan Sun1* Abstract Background: Terminal differentiation-induced ncRNA (TINCR) plays an essential role in epidermal differentiation and is involved in the development of various cancers. Methods: qPCR was used to detect the expression level of TINCR in tissues and cell lines of laryngeal squamous cell carcinoma (LSCC). The potential targets of TINCR were predicted by the bioinformation website. The expression of miR-210 and BTG2 genes were detected by qPCR, and the protein levels of BTG2 and Ki-67 were evaluated by western blot. CCK-8 assay, scratch test, and transwell chamber were used to evaluate the proliferation, invasion, and metastasis ability of LSCC cells. The relationships among TINCR, miR-210, and BTG2 were investigated by bioinformatics software and luciferase reporter assay. The in vivo function of TINCR was accessed on survival rate and tumor growth in nude mice. Results: We used qRT-PCR to detect the expression of TINCR in laryngeal squamous cell carcinoma (LSCC) tissues and cells and found significantly lower levels in cancer tissues compared with adjacent tissues. Additionally, patients with high TINCR expression had a better prognosis. TINCR overexpression was observed to inhibit the proliferation and invasion of LSCC cells. TINCR was shown to exert its antiproliferation and invasion effects by adsorbing miR- 210, which significantly promoted the proliferation and invasion of laryngeal squamous cells. -
Identification of NFIB As Recurrent Translocation Partner Gene of HMGIC in Pleomorphic Adenomas
Oncogene (1998) 16, 865 ± 872 1998 Stockton Press All rights reserved 0950 ± 9232/98 $12.00 Identi®cation of NFIB as recurrent translocation partner gene of HMGIC in pleomorphic adenomas Jan MW Geurts1, Eric FPM Schoenmakers1, Eva RoÈ ijer2, Anna-Karin AstroÈ m2,GoÈran Stenman2 and Wim JM van de Ven1 1Laboratory for Molecular Oncology, Center for Human Genetics, University of Leuven & Flanders Interuniversity Institute for Biotechnology, B-3000 Leuven, Belgium; 2Laboratory of Cancer Genetics, Department of Pathology, GoÈteborg University, Sahlgrenska University Hospital, S-41345 GoÈteborg, Sweden Approximately 12% of all pleomorphic adenomas of the guished, i.e. tumors with rearrangements of 8q12 or salivary glands are characterized by chromosome 12q13 ± 15. Whereas the t(3;8)(p21;q12) is the most aberrations involving the chromosome segment 12q13 ± frequently observed translocation, many dierent 15. Several chromosomes have been found as transloca- chromosome segments can act as translocation tion partners of chromosome 12, and some of these partners of both 8q12 and 12q13 ± 15 (Sandros et al., recurrently. Recently, the HMGIC gene was identi®ed as 1990; Bullerdiek et al., 1993). The short arm of the target gene aected by the 12q13 ± 15 aberrations. chromosome 9, with breakpoints in the segment Here, we report the identi®cation and characterization of 9p12 ± 24, is the preferential translocation partner of a new translocation partner gene of HMGIC in chromosome 12q13 ± 15 (Stenman et al., 1994). The pleomorphic adenomas. 3'-RACE analysis of a primary reason for the variability of the breakpoints in 9p is adenoma with an apparently normal karyotype revealed likely to be due to the limited resolution of the banding an HMGIC fusion transcript containing ectopic se- pattern in 9p12 ± 24 and 12q13 ± 15, making it almost quences derived from the human NFIB gene, previously impossible to determine the exact locations of the mapped to chromosome band 9p24.1. -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
BTG2: a Rising Star of Tumor Suppressors (Review)
INTERNATIONAL JOURNAL OF ONCOLOGY 46: 459-464, 2015 BTG2: A rising star of tumor suppressors (Review) BIjING MAO1, ZHIMIN ZHANG1,2 and GE WANG1 1Cancer Center, Institute of Surgical Research, Daping Hospital, Third Military Medical University, Chongqing 400042; 2Department of Oncology, Wuhan General Hospital of Guangzhou Command, People's Liberation Army, Wuhan, Hubei 430070, P.R. China Received September 22, 2014; Accepted November 3, 2014 DOI: 10.3892/ijo.2014.2765 Abstract. B-cell translocation gene 2 (BTG2), the first 1. Discovery of BTG2 in TOB/BTG gene family gene identified in the BTG/TOB gene family, is involved in many biological activities in cancer cells acting as a tumor The TOB/BTG genes belong to the anti-proliferative gene suppressor. The BTG2 expression is downregulated in many family that includes six different genes in vertebrates: TOB1, human cancers. It is an instantaneous early response gene and TOB2, BTG1 BTG2/TIS21/PC3, BTG3 and BTG4 (Fig. 1). plays important roles in cell differentiation, proliferation, DNA The conserved domain of BTG N-terminal contains two damage repair, and apoptosis in cancer cells. Moreover, BTG2 regions, named box A and box B, which show a high level of is regulated by many factors involving different signal path- homology to the other domains (1-5). Box A has a major effect ways. However, the regulatory mechanism of BTG2 is largely on cell proliferation, while box B plays a role in combination unknown. Recently, the relationship between microRNAs and with many target molecules. Compared with other family BTG2 has attracted much attention. MicroRNA-21 (miR-21) members, BTG1 and BTG2 have an additional region named has been found to regulate BTG2 gene during carcinogenesis. -
Bioinformatics Studies Provide Insight Into Possible Target and Mechanisms of Action of Nobiletin Against Cancer Stem Cells
DOI:10.31557/APJCP.2020.21.3.611 Bioinformatics Studies Provide Insight into Possible Target and Mechanisms of Action of Nobiletin against Cancer Stem Cells RESEARCH ARTICLE Editorial Process: Submission:05/08/2019 Acceptance:03/06/2020 Bioinformatics Studies Provide Insight into Possible Target and Mechanisms of Action of Nobiletin against Cancer Stem Cells Adam Hermawan1*, Herwandhani Putri2 Abstract Objective: Nobiletin treatment on MDA-MB 231 cells reduces the expression of CXC chemokine receptor type 4 (CXCR4), which is highly expressed in cancer stem cell populations in tumor patients. However, the mechanisms of nobiletin in cancer stem cells (CSCs) remain elusive. This study was aimed to explore the potential target and mechanisms of nobiletin in cancer stem cells using bioinformatics approaches. Methods: Gene expression profiles by public COMPARE predicting the sensitivity of tumor cells to nobiletin. Functional annotations on gene lists are carried out with The Database for Annotation, Visualization and Integrated Discovery (DAVID) v6.8, and WEB-based GEne SeT Analysis Toolkit (WebGestalt). The protein-protein interaction (PPI) network was analyzed by STRING-DB and visualized by Cytoscape. Results: Microarray analyses reveal many genes involved in protein binding, transcriptional and translational activity. Pathway enrichment analysis revealed breast cancer regulation of estrogen signaling and Wnt/ß-catenin by nobiletin. Moreover, three hub genes, i.e. ESR1, NCOA3, and RPS6KB1 and one significant module were filtered out and selected from the PPI network. Conclusion: Nobiletin might serve as a lead compound for the development of CSCs-targeted drugs by targeting estrogen and Wnt/ß-catenin signaling. Further studies are needed to explore the full therapeutic potential of nobiletin in cancer stem cells. -
Integrative Differential Expression and Gene Set Enrichment Analysis Using Summary Statistics for Scrna-Seq Studies
ARTICLE https://doi.org/10.1038/s41467-020-15298-6 OPEN Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies ✉ Ying Ma 1,7, Shiquan Sun 1,7, Xuequn Shang2, Evan T. Keller 3, Mengjie Chen 4,5 & Xiang Zhou 1,6 Differential expression (DE) analysis and gene set enrichment (GSE) analysis are commonly applied in single cell RNA sequencing (scRNA-seq) studies. Here, we develop an integrative 1234567890():,; and scalable computational method, iDEA, to perform joint DE and GSE analysis through a hierarchical Bayesian framework. By integrating DE and GSE analyses, iDEA can improve the power and consistency of DE analysis and the accuracy of GSE analysis. Importantly, iDEA uses only DE summary statistics as input, enabling effective data modeling through com- plementing and pairing with various existing DE methods. We illustrate the benefits of iDEA with extensive simulations. We also apply iDEA to analyze three scRNA-seq data sets, where iDEA achieves up to five-fold power gain over existing GSE methods and up to 64% power gain over existing DE methods. The power gain brought by iDEA allows us to identify many pathways that would not be identified by existing approaches in these data. 1 Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA. 2 School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, P.R. China. 3 Department of Urology, University of Michigan, Ann Arbor, MI 48109, USA. 4 Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. 5 Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA. -
Genome-Wide DNA Methylation Analysis of KRAS Mutant Cell Lines Ben Yi Tew1,5, Joel K
www.nature.com/scientificreports OPEN Genome-wide DNA methylation analysis of KRAS mutant cell lines Ben Yi Tew1,5, Joel K. Durand2,5, Kirsten L. Bryant2, Tikvah K. Hayes2, Sen Peng3, Nhan L. Tran4, Gerald C. Gooden1, David N. Buckley1, Channing J. Der2, Albert S. Baldwin2 ✉ & Bodour Salhia1 ✉ Oncogenic RAS mutations are associated with DNA methylation changes that alter gene expression to drive cancer. Recent studies suggest that DNA methylation changes may be stochastic in nature, while other groups propose distinct signaling pathways responsible for aberrant methylation. Better understanding of DNA methylation events associated with oncogenic KRAS expression could enhance therapeutic approaches. Here we analyzed the basal CpG methylation of 11 KRAS-mutant and dependent pancreatic cancer cell lines and observed strikingly similar methylation patterns. KRAS knockdown resulted in unique methylation changes with limited overlap between each cell line. In KRAS-mutant Pa16C pancreatic cancer cells, while KRAS knockdown resulted in over 8,000 diferentially methylated (DM) CpGs, treatment with the ERK1/2-selective inhibitor SCH772984 showed less than 40 DM CpGs, suggesting that ERK is not a broadly active driver of KRAS-associated DNA methylation. KRAS G12V overexpression in an isogenic lung model reveals >50,600 DM CpGs compared to non-transformed controls. In lung and pancreatic cells, gene ontology analyses of DM promoters show an enrichment for genes involved in diferentiation and development. Taken all together, KRAS-mediated DNA methylation are stochastic and independent of canonical downstream efector signaling. These epigenetically altered genes associated with KRAS expression could represent potential therapeutic targets in KRAS-driven cancer. Activating KRAS mutations can be found in nearly 25 percent of all cancers1. -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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 The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Cutting Edge: Expression of IRF8 in Gastric Epithelial Cells Confers
Cutting Edge: Expression of IRF8 in Gastric Epithelial Cells Confers Protective Innate Immunity against Helicobacter pylori Infection This information is current as of September 27, 2021. Ming Yan, Hongsheng Wang, Jiafang Sun, Wei Liao, Peng Li, Yin Zhu, Chengfu Xu, Jungsoo Joo, Yan Sun, Sadia Abbasi, Alexander Kovalchuk, Nonghua Lv, Warren J. Leonard and Herbert C. Morse III J Immunol published online 3 February 2016 Downloaded from http://www.jimmunol.org/content/early/2016/02/02/jimmun ol.1500766 http://www.jimmunol.org/ Supplementary http://www.jimmunol.org/content/suppl/2016/02/02/jimmunol.150076 Material 6.DCSupplemental Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on September 27, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published February 3, 2016, doi:10.4049/jimmunol.1500766 Th eJournal of Cutting Edge Immunology Cutting Edge: Expression of IRF8 in Gastric Epithelial Cells Confers Protective Innate Immunity against Helicobacter pylori Infection x x Ming Yan,*,1 Hongsheng Wang,†,1 Jiafang Sun,† Wei Liao,‡, Peng Li,‡, { † Yin Zhu, ChengfuXu,*JungsooJoo,*YanSun,*SadiaAbbasi,{ x Alexander Kovalchuk,† Nonghua Lv, Warren J.