Dissecting the Multi-Omics Atlas of the Exosomes Released by Human Lung Adenocarcinoma Stem-Like Cells
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Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources
Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources Chung-Feng Kao1, Yu-Sheng Fang2, Zhongming Zhao3, Po-Hsiu Kuo1,2,4* 1 Department of Public Health and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan, 2 Institute of Clinical Medicine, School of Medicine, National Cheng-Kung University, Tainan, Taiwan, 3 Departments of Biomedical Informatics and Psychiatry, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 4 Research Center for Genes, Environment and Human Health, National Taiwan University, Taipei, Taiwan Abstract Background: Large scale and individual genetic studies have suggested numerous susceptible genes for depression in the past decade without conclusive results. There is a strong need to review and integrate multi-dimensional data for follow up validation. The present study aimed to apply prioritization procedures to build-up an evidence-based candidate genes dataset for depression. Methods: Depression candidate genes were collected in human and animal studies across various data resources. Each gene was scored according to its magnitude of evidence related to depression and was multiplied by a source-specific weight to form a combined score measure. All genes were evaluated through a prioritization system to obtain an optimal weight matrix to rank their relative importance with depression using the combined scores. The resulting candidate gene list for depression (DEPgenes) was further evaluated by a genome-wide association (GWA) dataset and microarray gene expression in human tissues. Results: A total of 5,055 candidate genes (4,850 genes from human and 387 genes from animal studies with 182 being overlapped) were included from seven data sources. -
Transcriptional Regulation of RKIP in Prostate Cancer Progression
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Sciences Transcriptional Regulation of RKIP in Prostate Cancer Progression Submitted by: Sandra Marie Beach In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Sciences Examination Committee Major Advisor: Kam Yeung, Ph.D. Academic William Maltese, Ph.D. Advisory Committee: Sonia Najjar, Ph.D. Han-Fei Ding, M.D., Ph.D. Manohar Ratnam, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: May 16, 2007 Transcriptional Regulation of RKIP in Prostate Cancer Progression Sandra Beach University of Toledo ACKNOWLDEGMENTS I thank my major advisor, Dr. Kam Yeung, for the opportunity to pursue my degree in his laboratory. I am also indebted to my advisory committee members past and present, Drs. Sonia Najjar, Han-Fei Ding, Manohar Ratnam, James Trempe, and Douglas Pittman for generously and judiciously guiding my studies and sharing reagents and equipment. I owe extended thanks to Dr. William Maltese as a committee member and chairman of my department for supporting my degree progress. The entire Department of Biochemistry and Cancer Biology has been most kind and helpful to me. Drs. Roy Collaco and Hong-Juan Cui have shared their excellent technical and practical advice with me throughout my studies. I thank members of the Yeung laboratory, Dr. Sungdae Park, Hui Hui Tang, Miranda Yeung for their support and collegiality. The data mining studies herein would not have been possible without the helpful advice of Dr. Robert Trumbly. I am also grateful for the exceptional assistance and shared microarray data of Dr. -
Acetyl-Coa Synthetase 3 Promotes Bladder Cancer Cell Growth Under Metabolic Stress Jianhao Zhang1, Hongjian Duan1, Zhipeng Feng1,Xinweihan1 and Chaohui Gu2
Zhang et al. Oncogenesis (2020) 9:46 https://doi.org/10.1038/s41389-020-0230-3 Oncogenesis ARTICLE Open Access Acetyl-CoA synthetase 3 promotes bladder cancer cell growth under metabolic stress Jianhao Zhang1, Hongjian Duan1, Zhipeng Feng1,XinweiHan1 and Chaohui Gu2 Abstract Cancer cells adapt to nutrient-deprived tumor microenvironment during progression via regulating the level and function of metabolic enzymes. Acetyl-coenzyme A (AcCoA) is a key metabolic intermediate that is crucial for cancer cell metabolism, especially under metabolic stress. It is of special significance to decipher the role acetyl-CoA synthetase short chain family (ACSS) in cancer cells confronting metabolic stress. Here we analyzed the generation of lipogenic AcCoA in bladder cancer cells under metabolic stress and found that in bladder urothelial carcinoma (BLCA) cells, the proportion of lipogenic AcCoA generated from glucose were largely reduced under metabolic stress. Our results revealed that ACSS3 was responsible for lipogenic AcCoA synthesis in BLCA cells under metabolic stress. Interestingly, we found that ACSS3 was required for acetate utilization and histone acetylation. Moreover, our data illustrated that ACSS3 promoted BLCA cell growth. In addition, through analyzing clinical samples, we found that both mRNA and protein levels of ACSS3 were dramatically upregulated in BLCA samples in comparison with adjacent controls and BLCA patients with lower ACSS3 expression were entitled with longer overall survival. Our data revealed an oncogenic role of ACSS3 via regulating AcCoA generation in BLCA and provided a promising target in metabolic pathway for BLCA treatment. 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; Introduction acetyl-CoA synthetase short chain family (ACSS), which In cancer cells, considerable number of metabolic ligates acetate and CoA6. -
ATAP00021-Recombinant Human ALDH1A1 Protein
ATAGENIX LABORATORIES Catalog Number:ATAP00021 Recombinant Human ALDH1A1 protein Product Details Summary English name Recombinant Human ALDH1A1 protein Purity >90% as determined by SDS-PAGE Endotoxin level Please contact with the lab for this information. Construction A DNA sequence encoding the human ALDH1A1 (Met1-Ser501) was fused with His tag Accession # P00352 Host E.coli Species Homo sapiens (Human) Predicted Molecular Mass 52.58 kDa Formulation Supplied as solution form in PBS pH 7.5 or lyophilized from PBS pH 7.5. Shipping In general, proteins are provided as lyophilized powder/frozen liquid. They are shipped out with dry ice/blue ice unless customers require otherwise. Stability &Storage Use a manual defrost freezer and avoid repeated freeze thaw cycles. Store at 2 to 8 °C for one week . Store at -20 to -80 °C for twelve months from the date of receipt. Reconstitution Reconstitute in sterile water for a stock solution.A copy of datasheet will be provided with the products, please refer to it for details. Background Background Aldehyde dehydrogenase 1 family, member A1 (ALDH1A1), also known as Aldehyde dehydrogenase 1 (ALDH1), or Retinaldehyde Dehydrogenase 1 (RALDH1), is an enzyme that is expressed at high levels in stem cells and that has been suggested to regulate stem cell function. The retinaldehyde dehydrogenase (RALDH) subfamily of ALDHs, composed of ALDH1A1, ALDH1A2, ALDH1A3, and ALDH8A1, regulate development by catalyzing retinoic acid biosynthesis. The ALDH1A1 protein belongs to the aldehyde dehydrogenases family of proteins. Aldehyde dehydrogenase is the second enzyme of the major oxidative pathway of alcohol metabolism. ALDH1A1 also belongs to the group of corneal crystallins that Web:www.atagenix.com E-mail: [email protected] Tel: 027-87433958 ATAGENIX LABORATORIES Catalog Number:ATAP00021 Recombinant Human ALDH1A1 protein help maintain the transparency of the cornea. -
Related Malignant Phenotypes in the Nf1-Deficient MPNST
Published OnlineFirst February 19, 2013; DOI: 10.1158/1541-7786.MCR-12-0593 Molecular Cancer Genomics Research RAS/MEK–Independent Gene Expression Reveals BMP2- Related Malignant Phenotypes in the Nf1-Deficient MPNST Daochun Sun1, Ramsi Haddad2,3, Janice M. Kraniak2, Steven D. Horne1, and Michael A. Tainsky1,2 Abstract Malignant peripheral nerve sheath tumor (MPNST) is a type of soft tissue sarcoma that occurs in carriers of germline mutations in Nf1 gene as well as sporadically. Neurofibromin, encoded by the Nf1 gene, functions as a GTPase-activating protein (GAP) whose mutation leads to activation of wt-RAS and mitogen-activated protein kinase (MAPK) signaling in neurofibromatosis type I (NF1) patients' tumors. However, therapeutic targeting of RAS and MAPK have had limited success in this disease. In this study, we modulated NRAS, mitogen-activated protein/extracellular signal–regulated kinase (MEK)1/2, and neurofibromin levels in MPNST cells and determined gene expression changes to evaluate the regulation of signaling pathways in MPNST cells. Gene expression changes due to neurofibromin modulation but independent of NRAS and MEK1/2 regulation in MPNST cells indicated bone morphogenetic protein 2 (Bmp2) signaling as a key pathway. The BMP2-SMAD1/5/8 pathway was activated in NF1-associated MPNST cells and inhibition of BMP2 signaling by LDN-193189 or short hairpin RNA (shRNA) to BMP2 decreased the motility and invasion of NF1-associated MPNST cells. The pathway-specific gene changes provide a greater understanding of the complex role of neurofibromin in MPNST pathology and novel targets for drug discovery. Mol Cancer Res; 11(6); 616–27. -
A Genomic Screen for Activators of the Antioxidant Response Element
A genomic screen for activators of the antioxidant response element Yanxia Liu†, Jonathan T. Kern‡, John R. Walker§, Jeffrey A. Johnson‡, Peter G. Schultz§¶ʈ, and Hendrik Luesch†ʈ †Department of Medicinal Chemistry, University of Florida, 1600 Southwest Archer Road, Gainesville, FL 32610; ‡Department of Pharmaceutical Sciences, School of Pharmacy, University of Wisconsin, 777 Highland Avenue, Madison, WI 53705; §Genomics Institute of the Novartis Research Foundation, 10675 John Jay Hopkins Drive, San Diego, CA 92121; and ¶Department of Chemistry, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037 Contributed by Peter G. Schultz, January 31, 2007 (sent for review December 13, 2006) The antioxidant response element (ARE) is a cis-acting regulatory activation, translocates into the nucleus and transcriptionally acti- enhancer element found in the 5 flanking region of many phase II vates ARE-dependent genes after recruiting Maf proteins (2). The detoxification enzymes. Up-regulation of ARE-dependent target upstream regulatory mechanisms by which ARE-activating signals genes is known to have neuroprotective effects; yet, the mechanism are linked to Nrf2 remain to be fully elucidated. It has been of activation is largely unknown. By screening an arrayed collection demonstrated that reactive sulfhydryl groups of Keap1 are sensors of Ϸ15,000 full-length expression cDNAs in the human neuroblas- for induction of phase II genes (13), leading to the proposal that the toma cell line IMR-32 with an ARE-luciferase reporter, we have Nrf2/Keap1 interaction represents a cytoplasmic sensor for oxida- identified several cDNAs not previously associated with ARE activa- tive stress. However, 1-phosphatidylinositol 3-kinase (PI3K), tion. -
Identify Distinct Prognostic Impact of ALDH1 Family Members by TCGA Database in Acute Myeloid Leukemia
Open Access Annals of Hematology & Oncology Research Article Identify Distinct Prognostic Impact of ALDH1 Family Members by TCGA Database in Acute Myeloid Leukemia Yi H, Deng R, Fan F, Sun H, He G, Lai S and Su Y* Department of Hematology, General Hospital of Chengdu Abstract Military Region, China Background: Acute myeloid leukemia is a heterogeneous disease. Identify *Corresponding author: Su Y, Department of the prognostic biomarker is important to guide stratification and therapeutic Hematology, General Hospital of Chengdu Military strategies. Region, Chengdu, 610083, China Method: We detected the expression level and the prognostic impact of Received: November 25, 2017; Accepted: January 18, each ALDH1 family members in AML by The Cancer Genome Atlas (TCGA) 2018; Published: February 06, 2018 database. Results: Upon 168 patients whose expression level of ALDH1 family members were available. We found that the level of ALDH1A1correlated to the prognosis of AML by the National Comprehensive Cancer Network (NCCN) stratification but not in other ALDH1 members. Moreover, we got survival data from 160 AML patients in TCGA database. We found that high ALDH1A1 expression correlated to poor Overall Survival (OS), mostly in Fms-like Tyrosine Kinase-3 (FLT3) mutated group. HighALDH1A2 expression significantly correlated to poor OS in FLT3 wild type population but not in FLT3 mutated group. High ALDH1A3 expression significantly correlated to poor OS in FLT3 mutated group but not in FLT3 wild type group. There was no relationship between the OS of AML with the level of ALDH1B1, ALDH1L1 and ALDH1L2. Conclusion: The prognostic impacts were different in each ALDH1 family members, which needs further investigation. -
Mapping Aldehyde Dehydrogenase 1A1 Activity Using an [18F]Substrate-Based Approach Raul Pereira,[A] Thibault Gendron,[B] Chandan Sanghera,[A] Hannah E
CORE Metadata, citation and similar papers at core.ac.uk Provided by Birkbeck Institutional Research Online DOI: 10.1002/chem.201805473 Full Paper & Biochemistry Mapping Aldehyde Dehydrogenase 1A1 Activity using an [18F]Substrate-Based Approach Raul Pereira,[a] Thibault Gendron,[b] Chandan Sanghera,[a] Hannah E. Greenwood,[a] Joseph Newcombe,[b, c] Patrick N. McCormick,[a] Kerstin Sander,[b] Maya Topf,[c] Erik rstad,[b] and Timothy H. Witney*[a] Abstract: Aldehyde dehydrogenases (ALDHs) catalyze the focused library of compounds evaluated, N-ethyl-6-(fluoro)- oxidation of aldehydes to carboxylic acids. Elevated ALDH N-(4-formylbenzyl)nicotinamide 4b was found to have excel- expression in human cancers is linked to metastases and lent affinity and isozyme selectivity for ALDH1A1 in vitro. poor overall survival. Despite ALDH being a poor prognostic Following 18F-fluorination, [18F]4b was taken up by colorectal factor, the non-invasive assessment of ALDH activity in vivo tumor cells and trapped through the conversion to its 18F-la- has not been possible due to a lack of sensitive and transla- beled carboxylate product under the action of ALDH. In vivo tional imaging agents. Presented in this report are the syn- positron emission tomography revealed high uptake of thesis and biological evaluation of ALDH1A1-selective chemi- [18F]4b in the lungs and liver, with radioactivity cleared cal probes composed of an aromatic aldehyde derived from through the urinary tract. Oxidation of [18F]4b, however, was N,N-diethylamino benzaldehyde (DEAB) linked to a fluorinat- observed in vivo, which may limit the tissue penetration of ed pyridine ring either via an amide or amine linkage. -
Investigation of Candidate Genes and Mechanisms Underlying Obesity
Prashanth et al. BMC Endocrine Disorders (2021) 21:80 https://doi.org/10.1186/s12902-021-00718-5 RESEARCH ARTICLE Open Access Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules G. Prashanth1 , Basavaraj Vastrad2 , Anandkumar Tengli3 , Chanabasayya Vastrad4* and Iranna Kotturshetti5 Abstract Background: Obesity associated type 2 diabetes mellitus is a metabolic disorder ; however, the etiology of obesity associated type 2 diabetes mellitus remains largely unknown. There is an urgent need to further broaden the understanding of the molecular mechanism associated in obesity associated type 2 diabetes mellitus. Methods: To screen the differentially expressed genes (DEGs) that might play essential roles in obesity associated type 2 diabetes mellitus, the publicly available expression profiling by high throughput sequencing data (GSE143319) was downloaded and screened for DEGs. Then, Gene Ontology (GO) and REACTOME pathway enrichment analysis were performed. The protein - protein interaction network, miRNA - target genes regulatory network and TF-target gene regulatory network were constructed and analyzed for identification of hub and target genes. The hub genes were validated by receiver operating characteristic (ROC) curve analysis and RT- PCR analysis. Finally, a molecular docking study was performed on over expressed proteins to predict the target small drug molecules. Results: A total of 820 DEGs were identified between -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
Integrated Bioinformatics Analysis of Aberrantly-Methylated
Shen et al. BMC Ophthalmology (2020) 20:119 https://doi.org/10.1186/s12886-020-01392-2 RESEARCH ARTICLE Open Access Integrated bioinformatics analysis of aberrantly-methylated differentially- expressed genes and pathways in age- related macular degeneration Yinchen Shen1,2†,MoLi3†, Kun Liu1,2, Xiaoyin Xu1,2, Shaopin Zhu1,2, Ning Wang1,2, Wenke Guo4, Qianqian Zhao4, Ping Lu4, Fudong Yu4 and Xun Xu1,2* Abstract Background: Age-related macular degeneration (AMD) represents the leading cause of visual impairment in the aging population. The goal of this study was to identify aberrantly-methylated, differentially-expressed genes (MDEGs) in AMD and explore the involved pathways via integrated bioinformatics analysis. Methods: Data from expression profile GSE29801 and methylation profile GSE102952 were obtained from the Gene Expression Omnibus database. We analyzed differentially-methylated genes and differentially-expressed genes using R software. Functional enrichment and protein–protein interaction (PPI) network analysis were performed using the R package and Search Tool for the Retrieval of Interacting Genes online database. Hub genes were identified using Cytoscape. Results: In total, 827 and 592 genes showed high and low expression, respectively, in GSE29801; 4117 hyper-methylated genes and 511 hypo-methylated genes were detected in GSE102952. Based on overlap, we categorized 153 genes as hyper-methylated, low-expression genes (Hyper-LGs) and 24 genes as hypo-methylated, high-expression genes (Hypo-HGs). Four Hyper-LGs (CKB, PPP3CA, TGFB2, SOCS2) overlapped with AMD risk genes in the Public Health Genomics and Precision Health Knowledge Base. KEGG pathway enrichment analysis indicated that Hypo-HGs were enriched in the calcium signaling pathway, whereas Hyper-LGs were enriched in sphingolipid metabolism. -
For Reference Only
Datasheet Version: 2.0.0 Revision date: 12 Nov 2020 Human Acetyl-coenzyme A synthetase, cytoplasmic (ACSS2) ELISA Kit Catalogue No.:abx500866 For the in vitro quantitative measurement of Human Acetyl-coenzyme A synthetase, cytoplasmic (ACSS2) concentrations in tissue homogenates, cell lysates and other biological fluids. Target: Acetyl-coenzyme A synthetase, cytoplasmic (ACSS2) Reactivity: Human Tested Applications: ELISA Recommended dilutions: Optimal dilutions/concentrations should be determined by the end user. Storage: Shipped at 4 °C. Upon receipt, store the kit according to the storage instruction in the kit's manual. Validity: The validity for this kit is 6 months. Stability: The stability of the kit is determined by the rate of activity loss. The loss rate is less than 5% within the expiration date under appropriate storage conditions. To minimize performance fluctuations, operation procedures and lab conditions should be strictly controlled. It is also strongly suggested that the whole assay is performed by the same user throughout. UniProt Primary AC: Q9NR19 (UniProt, ExPASy) Gene Symbol: ForACSS2 Reference Only KEGG: hsa:55902 Test Range: 0.78 ng/ml - 50 ng/ml Sensitivity: < 0.38 ng/ml Standard Form: Lyophilized v1.0.0 Abbexa Ltd, Cambridge, UK · Phone: +44 1223 755950 · Fax: +44 1223 755951 1 Abbexa LLC, Houston, TX, USA · Phone: +1 832 327 7413 www.abbexa.com · Email: [email protected] Datasheet Version: 2.0.0 Revision date: 12 Nov 2020 ELISA Detection: Colorimetric ELISA Data: Quantitative Sample Type: Tissue homogenates, cell lysates and other biological fluids. Note: This product is for research use only. The range and sensitivity is subject to change.