Gene Expression Changes in Cervical Squamous Cancers Following Neoadjuvant Interventional Chemoembolization
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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. -
Ailanthone Inhibits Non-Small Cell Lung Cancer Cell Growth Through Repressing DNA Replication Via Downregulating RPA1
FULL PAPER British Journal of Cancer (2017) 117, 1621–1630 | doi: 10.1038/bjc.2017.319 Keywords: ailanthone; non-small cell lung cancer; DNA replication; RPA1; Chinese medicine Ailanthone inhibits non-small cell lung cancer cell growth through repressing DNA replication via downregulating RPA1 Zhongya Ni1, Chao Yao1, Xiaowen Zhu1, Chenyuan Gong1, Zihang Xu2, Lixin Wang3, Suyun Li4, Chunpu Zou2 and Shiguo Zhu*,1,3 1Laboratory of Integrative Medicine, School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, 1200 Cai Lun Rd, Shanghai 201203, PR China; 2Department of Internal Classic of Medicine, School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, 1200 Cai Lun Rd, Shanghai 201203, PR China; 3Department of Immunology and Pathogenic Biology, School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, 1200 Cai Lun Rd, Shanghai 201203, PR China and 4Department of Pathology, School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, 1200 Cai Lun Rd, Shanghai 201203, PR China Background: The identification of bioactive compounds from Chinese medicine plays a crucial role in the development of novel reagents against non-small cell lung cancer (NSCLC). Methods: High throughput screening assay and analyses of cell growth, cell cycle, apoptosis, cDNA microarray, BrdU incorporation and gene expression were performed. Results: Ailanthone (Aila) suppressed NSCLC cell growth and colony formation in vitro and inhibited NSCLC tumour growth in subcutaneously xenografted and orthotopic lung tumour models, leading to prolonged survival of tumour-bearing mice. Moreover, Aila induced cell cycle arrest in a dose-independent manner but did not induce apoptosis in all NSCLC cells. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Supplementary Text and Figures.Pdf
Supplemental Figure S2. PRIM1 immunoblots (20-75 kDa). (A) Corresponds to Figure 2D, with additional bands seen in P2 at 75 kDa and 25 kDa. (B) Independent experiment with cell lysates from C and P2 in which additional bands at 25 kDa not evident. (C) Corresponds to Figure 2D. No additional band visible at 25 kDa. (D) Validation of monoclonal antibody (8G10) with siRNA to PRIM1 in HeLa cells. siLUC, luciferase negative control. siPRIM1, siRNA targeting PRIM1 transcript. Vinculin used as a loading control. Supplemental Figure S3: Predicted destabilisation of PRIM1 by the C301R substitution. (A) Cysteine 301 lies in a buried hydrophobic region in PRIM1. DNA primase dimer crystal structure (PDB: 4BPU). PRIM1 residues shaded according to solvent accessibility. Cysteine 301, substituted to arginine in P5, lies in a buried hydrophobic region. (B) Cys301 is evolutionarily conserved in vertebrates. Neither arginine or other large or charged amino acids are observed at this position in other species. (C) The C301R substitution observed in P5 is predicted to lead to destabilisation of all available PRIM1 crystal structures. In contrast, substitution with leucine or threonine, as observed in some orthologous proteins, is not predicted to lead to destabilisation. Data points, predicted changes in free-energy (ΔΔG) from FoldX plotted for each of 14 available crystal structures. (D) Immunoblotting of RPE1 cells transfected with dual reporter constructs (as described in Figure 3B and Materials and Methods) confirms production of PRIM1-GFP and FLAG-SR at expected molecular weights and shows reduced protein levels for the C301R variant. n=2 experiments shown. C301R protein levels relative to WT after normalization to actin loading control indicated underneath the blot. -
Minichromosome Maintenance Proteins Are Direct Targets of the ATM and ATR Checkpoint Kinases
Minichromosome maintenance proteins are direct targets of the ATM and ATR checkpoint kinases David Cortez*†, Gloria Glick*, and Stephen J. Elledge‡§ *Department of Biochemistry, Vanderbilt University, Nashville, TN 37232; and ‡Department of Genetics, Center for Genetics and Genomics, and Howard Hughes Medical Institute, Harvard University Medical School, Boston, MA 02115 Contributed by Stephen J. Elledge, May 13, 2004 The minichromosome maintenance (MCM) 2-7 helicase complex unclear how they could be reassembled because replication functions to initiate and elongate replication forks. Cell cycle licensing is not allowed once S phase has begun (26). Continued checkpoint signaling pathways regulate DNA replication to main- MCM activity at a stalled replication fork may also be delete- tain genomic stability. We describe four lines of evidence that rious because it would expose extensive regions of single- ATM/ATR-dependent (ataxia-telangiectasia-mutated͞ATM- and stranded DNA, precisely the phenotype observed in S. cerevisiae Rad3-related) checkpoint pathways are directly linked to three checkpoint mutants treated with hydroxyurea (HU) (9). Fur- members of the MCM complex. First, ATM phosphorylates MCM3 thermore, short stretches of single-stranded DNA that might on S535 in response to ionizing radiation. Second, ATR phosphor- accumulate at stalled forks because of MCM action may be ylates MCM2 on S108 in response to multiple forms of DNA damage essential to recruiting the ATR-ATRIP complex and activating and stalling of replication forks. Third, ATR-interacting protein the S-phase checkpoint. In this study, we found four direct (ATRIP)-ATR interacts with MCM7. Fourth, reducing the amount of connections between the ATR͞ATM checkpoint pathways and MCM7 in cells disrupts checkpoint signaling and causes an intra- the MCM proteins. -
Cell Growth-Regulated Expression of Mammalian MCM5 and MCM6 Genes Mediated by the Transcription Factor E2F
Oncogene (1999) 18, 2299 ± 2309 ã 1999 Stockton Press All rights reserved 0950 ± 9232/99 $12.00 http://www.stockton-press.co.uk/onc Cell growth-regulated expression of mammalian MCM5 and MCM6 genes mediated by the transcription factor E2F Kiyoshi Ohtani1, Ritsuko Iwanaga1, Masataka Nakamura*,1, Masa-aki Ikeda2, Norikazu Yabuta3, Hiromichi Tsuruga3 and Hiroshi Nojima3 1Human Gene Sciences Center, Tokyo Medical and Dental University, Tokyo 113-8510, Japan 2Department of Developmental Biology, Graduate School of Dentistry, Tokyo Medical and Dental University, Tokyo 113-8549, Japan; 3Department of Molecular Genetics, Research Institute for Microbial Diseases, Osaka University, Suita 565-0871, Japan Initiation of DNA replication requires the function of family (MCM2-7) that have been identi®ed in yeast, MCM gene products, which participate in ensuring that Xenopus, and human. Mcm proteins seem to regulate DNA replication occurs only once in the cell cycle. the initiation at the replication origin where the loading Expression of all mammalian genes of the MCM family of the proteins onto the origin recognition complex is induced by growth stimulation, unlike yeast, and the (ORC) is regulated by Cdc6 and cyclin-dependent mRNA levels peak at G1/S boundary. In this study, we kinases (Donovan et al., 1997; Tanaka et al., 1997). examined the transcriptional activities of isolated human However, the mechanism(s) by which Mcm proteins MCM gene promoters. Human MCM5 and MCM6 control the initiation of DNA replication remains promoters with mutation in the E2F sites failed in unclear. promoter regulation following serum stimulation and Xenopus Mcm proteins seem to be able to access exogenous E2F expression. -
Identification of Conserved Genes Triggering Puberty in European Sea
Blázquez et al. BMC Genomics (2017) 18:441 DOI 10.1186/s12864-017-3823-2 RESEARCHARTICLE Open Access Identification of conserved genes triggering puberty in European sea bass males (Dicentrarchus labrax) by microarray expression profiling Mercedes Blázquez1,2* , Paula Medina1,2,3, Berta Crespo1,4, Ana Gómez1 and Silvia Zanuy1* Abstract Background: Spermatogenesisisacomplexprocesscharacterized by the activation and/or repression of a number of genes in a spatio-temporal manner. Pubertal development in males starts with the onset of the first spermatogenesis and implies the division of primary spermatogonia and their subsequent entry into meiosis. This study is aimed at the characterization of genes involved in the onset of puberty in European sea bass, and constitutes the first transcriptomic approach focused on meiosis in this species. Results: European sea bass testes collected at the onset of puberty (first successful reproduction) were grouped in stage I (resting stage), and stage II (proliferative stage). Transition from stage I to stage II was marked by an increase of 11ketotestosterone (11KT), the main fish androgen, whereas the transcriptomic study resulted in 315 genes differentially expressed between the two stages. The onset of puberty induced 1) an up-regulation of genes involved in cell proliferation, cell cycle and meiosis progression, 2) changes in genes related with reproduction and growth, and 3) a down-regulation of genes included in the retinoic acid (RA) signalling pathway. The analysis of GO-terms and biological pathways showed that cell cycle, cell division, cellular metabolic processes, and reproduction were affected, consistent with the early events that occur during the onset of puberty. -
Supplementary Table S5. Differentially Expressed Gene Lists of PD-1High CD39+ CD8 Tils According to 4-1BB Expression Compared to PD-1+ CD39- CD8 Tils
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Immunother Cancer Supplementary Table S5. Differentially expressed gene lists of PD-1high CD39+ CD8 TILs according to 4-1BB expression compared to PD-1+ CD39- CD8 TILs Up- or down- regulated genes in Up- or down- regulated genes Up- or down- regulated genes only PD-1high CD39+ CD8 TILs only in 4-1BBneg PD-1high CD39+ in 4-1BBpos PD-1high CD39+ CD8 compared to PD-1+ CD39- CD8 CD8 TILs compared to PD-1+ TILs compared to PD-1+ CD39- TILs CD39- CD8 TILs CD8 TILs IL7R KLRG1 TNFSF4 ENTPD1 DHRS3 LEF1 ITGA5 MKI67 PZP KLF3 RYR2 SIK1B ANK3 LYST PPP1R3B ETV1 ADAM28 H2AC13 CCR7 GFOD1 RASGRP2 ITGAX MAST4 RAD51AP1 MYO1E CLCF1 NEBL S1PR5 VCL MPP7 MS4A6A PHLDB1 GFPT2 TNF RPL3 SPRY4 VCAM1 B4GALT5 TIPARP TNS3 PDCD1 POLQ AKAP5 IL6ST LY9 PLXND1 PLEKHA1 NEU1 DGKH SPRY2 PLEKHG3 IKZF4 MTX3 PARK7 ATP8B4 SYT11 PTGER4 SORL1 RAB11FIP5 BRCA1 MAP4K3 NCR1 CCR4 S1PR1 PDE8A IFIT2 EPHA4 ARHGEF12 PAICS PELI2 LAT2 GPRASP1 TTN RPLP0 IL4I1 AUTS2 RPS3 CDCA3 NHS LONRF2 CDC42EP3 SLCO3A1 RRM2 ADAMTSL4 INPP5F ARHGAP31 ESCO2 ADRB2 CSF1 WDHD1 GOLIM4 CDK5RAP1 CD69 GLUL HJURP SHC4 GNLY TTC9 HELLS DPP4 IL23A PITPNC1 TOX ARHGEF9 EXO1 SLC4A4 CKAP4 CARMIL3 NHSL2 DZIP3 GINS1 FUT8 UBASH3B CDCA5 PDE7B SOGA1 CDC45 NR3C2 TRIB1 KIF14 TRAF5 LIMS1 PPP1R2C TNFRSF9 KLRC2 POLA1 CD80 ATP10D CDCA8 SETD7 IER2 PATL2 CCDC141 CD84 HSPA6 CYB561 MPHOSPH9 CLSPN KLRC1 PTMS SCML4 ZBTB10 CCL3 CA5B PIP5K1B WNT9A CCNH GEM IL18RAP GGH SARDH B3GNT7 C13orf46 SBF2 IKZF3 ZMAT1 TCF7 NECTIN1 H3C7 FOS PAG1 HECA SLC4A10 SLC35G2 PER1 P2RY1 NFKBIA WDR76 PLAUR KDM1A H1-5 TSHZ2 FAM102B HMMR GPR132 CCRL2 PARP8 A2M ST8SIA1 NUF2 IL5RA RBPMS UBE2T USP53 EEF1A1 PLAC8 LGR6 TMEM123 NEK2 SNAP47 PTGIS SH2B3 P2RY8 S100PBP PLEKHA7 CLNK CRIM1 MGAT5 YBX3 TP53INP1 DTL CFH FEZ1 MYB FRMD4B TSPAN5 STIL ITGA2 GOLGA6L10 MYBL2 AHI1 CAND2 GZMB RBPJ PELI1 HSPA1B KCNK5 GOLGA6L9 TICRR TPRG1 UBE2C AURKA Leem G, et al. -
POLE2 Knockdown Reduce Tumorigenesis in Esophageal Squamous Cells Yongjun Zhu, Gang Chen, Yang Song, Zhiming Chen* and Xiaofeng Chen*
Zhu et al. Cancer Cell Int (2020) 20:388 https://doi.org/10.1186/s12935-020-01477-4 Cancer Cell International PRIMARY RESEARCH Open Access POLE2 knockdown reduce tumorigenesis in esophageal squamous cells Yongjun Zhu, Gang Chen, Yang Song, Zhiming Chen* and Xiaofeng Chen* Abstract Background: Esophageal squamous cell carcinoma (ESCC) is one of the most frequent malignant tumors originated from digestive system around the world and the treatment was limited by the unclear mechanism. DNA polymerase epsilon 2, accessory subunit (POLE2) is involved in DNA replication, repair, and cell cycle control, whose association with ESCC is still not clear. Methods: In this study, the expression level of POLE2 in ESCC tissues was detected by IHC. The POLE2 knockdown cell line was constructed, identifed by qPCR and western blot and used for detecting cellular functions and con- structing xenotransplantation mice model. MTT Assay, colony formation assay, fow cytometry, wound-healing assay and Transwell assay were used to detected cell proliferation, apoptosis and migration. Results: We frstly identifed that the expression of POLE2 was overexpressed in ESCC. Moreover, the high expres- sion of POLE2 can predict the tumor deterioration and poor prognosis of ESCC patients. Additionally, downregulation of POLE2 was involved in ESCC progression by promoting proliferation, migration, and inhibiting apoptosis in vitro. In vivo studies proved that POLE2 was positively correlated with ESCC tumor formation, which was consistent with the results in vitro. We also illuminated that POLE2 knockdown upregulated pro-apoptotic proteins (Bax, Caspase3, CD40L, FasL, IGFBP-5 and P21) and downregulated anti-apoptotic proteins (CLAP-2, IGF-I and sTNF-R2). -
Bioinformatics-Based Screening of Key Genes for Transformation of Liver
Jiang et al. J Transl Med (2020) 18:40 https://doi.org/10.1186/s12967-020-02229-8 Journal of Translational Medicine RESEARCH Open Access Bioinformatics-based screening of key genes for transformation of liver cirrhosis to hepatocellular carcinoma Chen Hao Jiang1,2, Xin Yuan1,2, Jiang Fen Li1,2, Yu Fang Xie1,2, An Zhi Zhang1,2, Xue Li Wang1,2, Lan Yang1,2, Chun Xia Liu1,2, Wei Hua Liang1,2, Li Juan Pang1,2, Hong Zou1,2, Xiao Bin Cui1,2, Xi Hua Shen1,2, Yan Qi1,2, Jin Fang Jiang1,2, Wen Yi Gu4, Feng Li1,2,3 and Jian Ming Hu1,2* Abstract Background: Hepatocellular carcinoma (HCC) is the most common type of liver tumour, and is closely related to liver cirrhosis. Previous studies have focussed on the pathogenesis of liver cirrhosis developing into HCC, but the molecular mechanism remains unclear. The aims of the present study were to identify key genes related to the transformation of cirrhosis into HCC, and explore the associated molecular mechanisms. Methods: GSE89377, GSE17548, GSE63898 and GSE54236 mRNA microarray datasets from Gene Expression Omni- bus (GEO) were analysed to obtain diferentially expressed genes (DEGs) between HCC and liver cirrhosis tissues, and network analysis of protein–protein interactions (PPIs) was carried out. String and Cytoscape were used to analyse modules and identify hub genes, Kaplan–Meier Plotter and Oncomine databases were used to explore relationships between hub genes and disease occurrence, development and prognosis of HCC, and the molecular mechanism of the main hub gene was probed using Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis. -
Supplementary Table S1. Correlation Between the Mutant P53-Interacting Partners and PTTG3P, PTTG1 and PTTG2, Based on Data from Starbase V3.0 Database
Supplementary Table S1. Correlation between the mutant p53-interacting partners and PTTG3P, PTTG1 and PTTG2, based on data from StarBase v3.0 database. PTTG3P PTTG1 PTTG2 Gene ID Coefficient-R p-value Coefficient-R p-value Coefficient-R p-value NF-YA ENSG00000001167 −0.077 8.59e-2 −0.210 2.09e-6 −0.122 6.23e-3 NF-YB ENSG00000120837 0.176 7.12e-5 0.227 2.82e-7 0.094 3.59e-2 NF-YC ENSG00000066136 0.124 5.45e-3 0.124 5.40e-3 0.051 2.51e-1 Sp1 ENSG00000185591 −0.014 7.50e-1 −0.201 5.82e-6 −0.072 1.07e-1 Ets-1 ENSG00000134954 −0.096 3.14e-2 −0.257 4.83e-9 0.034 4.46e-1 VDR ENSG00000111424 −0.091 4.10e-2 −0.216 1.03e-6 0.014 7.48e-1 SREBP-2 ENSG00000198911 −0.064 1.53e-1 −0.147 9.27e-4 −0.073 1.01e-1 TopBP1 ENSG00000163781 0.067 1.36e-1 0.051 2.57e-1 −0.020 6.57e-1 Pin1 ENSG00000127445 0.250 1.40e-8 0.571 9.56e-45 0.187 2.52e-5 MRE11 ENSG00000020922 0.063 1.56e-1 −0.007 8.81e-1 −0.024 5.93e-1 PML ENSG00000140464 0.072 1.05e-1 0.217 9.36e-7 0.166 1.85e-4 p63 ENSG00000073282 −0.120 7.04e-3 −0.283 1.08e-10 −0.198 7.71e-6 p73 ENSG00000078900 0.104 2.03e-2 0.258 4.67e-9 0.097 3.02e-2 Supplementary Table S2. -
Gene Expression Profiling Analysis Contributes to Understanding the Association Between Non-Syndromic Cleft Lip and Palate, and Cancer
2110 MOLECULAR MEDICINE REPORTS 13: 2110-2116, 2016 Gene expression profiling analysis contributes to understanding the association between non-syndromic cleft lip and palate, and cancer HONGYI WANG, TAO QIU, JIE SHI, JIULONG LIANG, YANG WANG, LIANGLIANG QUAN, YU ZHANG, QIAN ZHANG and KAI TAO Department of Plastic Surgery, General Hospital of Shenyang Military Area Command, PLA, Shenyang, Liaoning 110016, P.R. China Received March 10, 2015; Accepted December 18, 2015 DOI: 10.3892/mmr.2016.4802 Abstract. The present study aimed to investigate the for NSCL/P were implicated predominantly in the TGF-β molecular mechanisms underlying non-syndromic cleft lip, signaling pathway, the cell cycle and in viral carcinogenesis. with or without cleft palate (NSCL/P), and the association The TP53, CDK1, SMAD3, PIK3R1 and CASP3 genes were between this disease and cancer. The GSE42589 data set found to be associated, not only with NSCL/P, but also with was downloaded from the Gene Expression Omnibus data- cancer. These results may contribute to a better understanding base, and contained seven dental pulp stem cell samples of the molecular mechanisms of NSCL/P. from children with NSCL/P in the exfoliation period, and six controls. Differentially expressed genes (DEGs) were Introduction screened using the RankProd method, and their potential functions were revealed by pathway enrichment analysis and Non-syndromic cleft lip, with or without cleft palate (NSCL/P) construction of a pathway interaction network. Subsequently, is one of the most common types of congenital defect and cancer genes were obtained from six cancer databases, and affects 3.4-22.9/10,000 individuals worldwide (1).