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Kwok T, Yeguvapalli S, Chitrala KN. Identification of Genes Crucial for Biological Processes in Breast Cancer Liver Metastasis Relapse. Int J Mol Sci 2024; 25:5439. [PMID: 38791477 PMCID: PMC11122209 DOI: 10.3390/ijms25105439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/06/2024] [Accepted: 05/09/2024] [Indexed: 05/26/2024] Open
Abstract
Breast cancer, when advancing to a metastatic stage, involves the liver, impacting over 50% of cases and significantly diminishing survival rates. Presently, a lack of tailored therapeutic protocols for breast cancer liver metastasis (BCLM) underscores the need for a deeper understanding of molecular patterns governing this complication. Therefore, by analyzing differentially expressed genes (DEGs) between primary breast tumors and BCLM lesions, we aimed to shed light on the diversities of this process. This research investigated breast cancer liver metastasis relapse by employing a comprehensive approach that integrated data filtering, gene ontology and KEGG pathway analysis, overall survival analysis, identification of the alteration in the DEGs, visualization of the protein-protein interaction network, Signor 2.0, identification of positively correlated genes, immune cell infiltration analysis, genetic alternation analysis, copy number variant analysis, gene-to-mRNA interaction, transcription factor analysis, molecular docking, and identification of potential treatment targets. This study's integrative approach unveiled metabolic reprogramming, suggesting altered PCK1 and LPL expression as key in breast cancer metastasis recurrence.
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Yu H, Zhao S, Ness S, Kang H, Sheng Q, Samuels DC, Oyebamiji O, Zhao YY, Guo Y. Non-canonical RNA-DNA differences and other human genomic features are enriched within very short tandem repeats. PLoS Comput Biol 2020; 16:e1007968. [PMID: 32511223 PMCID: PMC7302867 DOI: 10.1371/journal.pcbi.1007968] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 06/18/2020] [Accepted: 05/19/2020] [Indexed: 11/19/2022] Open
Abstract
Very short tandem repeats bear substantial genetic, evolutional, and pathological significance in genome analyses. Here, we compiled a census of tandem mono-nucleotide/di-nucleotide/tri-nucleotide repeats (MNRs/DNRs/TNRs) in GRCh38, which we term "polytracts" in general. Of the human genome, 144.4 million nucleotides (4.7%) are occupied by polytracts, and 0.47 million single nucleotides are identified as polytract hinges, i.e., break-points of tandem polytracts. Preliminary exploration of the census suggested polytract hinge sites and boundaries of AAC polytracts may bear a higher mapping error rate than other polytract regions. Further, we revealed landscapes of polytract enrichment with respect to nearly a hundred genomic features. We found MNRs, DNRs, and TNRs displayed noticeable difference in terms of locational enrichment for miscellaneous genomic features, especially RNA editing events. Non-canonical and C-to-U RNA-editing events are enriched inside and/or adjacent to MNRs, while all categories of RNA-editing events are under-represented in DNRs. A-to-I RNA-editing events are generally under-represented in polytracts. The selective enrichment of non-canonical RNA-editing events within MNR adjacency provides a negative evidence against their authenticity. To enable similar locational enrichment analyses in relation to polytracts, we developed a software Polytrap which can handle 11 reference genomes. Additionally, we compiled polytracts of four model organisms into a Track Hub which can be integrated into USCS Genome Browser as an official track for convenient visualization of polytracts.
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Affiliation(s)
- Hui Yu
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico, United States of America
- * E-mail: (HY); (YG)
| | - Shilin Zhao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Scott Ness
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Huining Kang
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Quanhu Sheng
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - David C. Samuels
- Deptartment of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Olufunmilola Oyebamiji
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Ying-yong Zhao
- Key Laboratory of Resource Biology and Biotechnology in Western China, School of Life Sciences, Northwest University, Xi'an, Shaanxi, China
| | - Yan Guo
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico, United States of America
- * E-mail: (HY); (YG)
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Tong Z, Cui Q, Wang J, Zhou Y. TransmiR v2.0: an updated transcription factor-microRNA regulation database. Nucleic Acids Res 2020; 47:D253-D258. [PMID: 30371815 PMCID: PMC6323981 DOI: 10.1093/nar/gky1023] [Citation(s) in RCA: 203] [Impact Index Per Article: 50.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 10/17/2018] [Indexed: 12/20/2022] Open
Abstract
MicroRNAs (miRNAs) are important post-transcriptional regulators of gene expression and play vital roles in various biological processes. It has been reported that aberrant regulation of miRNAs was associated with the development and progression of various diseases, but the underlying mechanisms are not fully deciphered. Here, we described our updated TransmiR v2.0 database for more comprehensive information about transcription factor (TF)-miRNA regulations. 3730 TF–miRNA regulations among 19 species from 1349 reports were manually curated by surveying >8000 publications, and more than 1.7 million tissue-specific TF–miRNA regulations were further incorporated based on ChIP-seq data. Besides, we constructed a ‘Predict’ module to query the predicted TF–miRNA regulations in human based on binding motifs of TFs. To facilitate the community, we provided a ‘Network’ module to visualize TF–miRNA regulations for each TF and miRNA, or for a specific disease. An ‘Enrichment analysis’ module was also included to predict TFs that are likely to regulate a miRNA list of interest. In conclusion, with improved data coverage and webserver functionalities, TransmiR v2.0 would be a useful resource for investigating the regulation of miRNAs. TransmiR v2.0 is freely accessible at http://www.cuilab.cn/transmir.
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Affiliation(s)
- Zhan Tong
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China
| | - Qinghua Cui
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China
| | - Juan Wang
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China
| | - Yuan Zhou
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China
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Romanov D, Butenko E, Bakhtadze G, Shkurat T. Genome distance between conserved elements in neighborhoods of growth-regulating genes is correlated with morpho-physiological traits in mammals. GENE REPORTS 2019. [DOI: 10.1016/j.genrep.2019.100508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Mattison SA, Blatch GL, Edkins AL. HOP expression is regulated by p53 and RAS and characteristic of a cancer gene signature. Cell Stress Chaperones 2017; 22:213-223. [PMID: 27987076 PMCID: PMC5352595 DOI: 10.1007/s12192-016-0755-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Revised: 11/21/2016] [Accepted: 12/07/2016] [Indexed: 01/01/2023] Open
Abstract
The Hsp70/Hsp90 organising protein (HOP) is a co-chaperone essential for client protein transfer from Hsp70 to Hsp90 within the Hsp90 chaperone machine. Although HOP is upregulated in various cancers, there is limited information from in vitro studies on how HOP expression is regulated in cancer. The main objective of this study was to identify the HOP promoter and investigate its activity in cancerous cells. Bioinformatic analysis of the -2500 to +16 bp region of the HOP gene identified a large CpG island and a range of putative cis-elements. Many of the cis-elements were potentially bound by transcription factors which are activated by oncogenic pathways. Luciferase reporter assays demonstrated that the upstream region of the HOP gene contains an active promoter in vitro. Truncation of this region suggested that the core HOP promoter region was -855 to +16 bp. HOP promoter activity was highest in Hs578T, HEK293T and SV40- transformed MEF1 cell lines which expressed mutant or inactive p53. In a mutant p53 background, expression of wild-type p53 led to a reduction in promoter activity, while inhibition of wild-type p53 in HeLa cells increased HOP promoter activity. Additionally, in Hs578T and HEK293T cell lines containing inactive p53, expression of HRAS increased HOP promoter activity. However, HRAS activation of the HOP promoter was inhibited by p53 overexpression. These findings suggest for the first time that HOP expression in cancer may be regulated by both RAS activation and p53 inhibition. Taken together, these data suggest that HOP may be part of the cancer gene signature induced by a combination of mutant p53 and mutated RAS that is associated with cellular transformation.
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Affiliation(s)
- Stacey A Mattison
- Biomedical Biotechnology Research Unit, Department of Biochemistry and Microbiology, Rhodes University, Grahamstown, South Africa
| | - Gregory L Blatch
- Biomedical Biotechnology Research Unit, Department of Biochemistry and Microbiology, Rhodes University, Grahamstown, South Africa
- Centre for Chronic Disease, College of Health and Biomedicine, Victoria University, Melbourne, Australia
| | - Adrienne L Edkins
- Biomedical Biotechnology Research Unit, Department of Biochemistry and Microbiology, Rhodes University, Grahamstown, South Africa.
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McClure M, Kim E, Bickhart D, Null D, Cooper T, Cole J, Wiggans G, Ajmone-Marsan P, Colli L, Santus E, Liu GE, Schroeder S, Matukumalli L, Van Tassell C, Sonstegard T. Fine mapping for Weaver syndrome in Brown Swiss cattle and the identification of 41 concordant mutations across NRCAM, PNPLA8 and CTTNBP2. PLoS One 2013; 8:e59251. [PMID: 23527149 PMCID: PMC3603989 DOI: 10.1371/journal.pone.0059251] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2012] [Accepted: 02/13/2013] [Indexed: 12/12/2022] Open
Abstract
Bovine Progressive Degenerative Myeloencephalopathy (Weaver Syndrome) is a recessive neurological disease that has been observed in the Brown Swiss cattle breed since the 1970's in North America and Europe. Bilateral hind leg weakness and ataxia appear in afflicted animals at 6 to 18 months of age, and slowly progresses to total loss of hind limb control by 3 to 4 years of age. While Weaver has previously been mapped to Bos taurus autosome (BTA) 4∶46-56 Mb and a diagnostic test based on the 6 microsatellite (MS) markers is commercially available, neither the causative gene nor mutation has been identified; therefore misdiagnosis can occur due to recombination between the diagnostic MS markers and the causative mutation. Analysis of 34,980 BTA 4 SNPs genotypes derived from the Illumina BovineHD assay for 20 Brown Swiss Weaver carriers and 49 homozygous normal bulls refined the Weaver locus to 48-53 Mb. Genotyping of 153 SNPs, identified from whole genome sequencing of 10 normal and 10 carrier animals, across a validation set of 841 animals resulted in the identification of 41 diagnostic SNPs that were concordant with the disease. Except for one intergenic SNP all are associated with genes expressed in nervous tissues: 37 distal to NRCAM, one non-synonymous (serine to asparagine) in PNPLA8, one synonymous and one non-synonymous (lysine to glutamic acid) in CTTNBP2. Haplotype and imputation analyses of 7,458 Brown Swiss animals with Illumina BovineSNP50 data and the 41 diagnostic SNPs resulted in the identification of only one haplotype concordant with the Weaver phenotype. Use of this haplotype and the diagnostic SNPs more accurately identifies Weaver carriers in both Brown Swiss purebred and influenced herds.
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Affiliation(s)
- Matthew McClure
- USDA, ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland, United States of America
| | - Euisoo Kim
- USDA, ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland, United States of America
| | - Derek Bickhart
- USDA, ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland, United States of America
| | - Daniel Null
- USDA, ARS, ANRI, Animal Improvement Programs Laboratory, Beltsville, Maryland, United States of America
| | - Tabatha Cooper
- USDA, ARS, ANRI, Animal Improvement Programs Laboratory, Beltsville, Maryland, United States of America
| | - John Cole
- USDA, ARS, ANRI, Animal Improvement Programs Laboratory, Beltsville, Maryland, United States of America
| | - George Wiggans
- USDA, ARS, ANRI, Animal Improvement Programs Laboratory, Beltsville, Maryland, United States of America
| | - Paolo Ajmone-Marsan
- Istituto di Zootecnica e BioDNA Centro di Ricerca sulla Biodiversità e il DNA Antico, Università Cattolica del S. Cuore di Piacenza, Piacenza, Italy
| | - Licia Colli
- Istituto di Zootecnica e BioDNA Centro di Ricerca sulla Biodiversità e il DNA Antico, Università Cattolica del S. Cuore di Piacenza, Piacenza, Italy
| | - Enrico Santus
- Associazione Nazionale Allevatori bovini della Razza Bruna, Italian Brown Swiss Association, Bussolengo, Italy
| | - George E. Liu
- USDA, ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland, United States of America
| | - Steve Schroeder
- USDA, ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland, United States of America
| | - Lakshmi Matukumalli
- USDA, ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland, United States of America
| | - Curt Van Tassell
- USDA, ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland, United States of America
| | - Tad Sonstegard
- USDA, ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland, United States of America
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Bickhart DM, Liu GE. Identification of candidate transcription factor binding sites in the cattle genome. GENOMICS PROTEOMICS & BIOINFORMATICS 2013; 11:195-8. [PMID: 23433959 PMCID: PMC4357788 DOI: 10.1016/j.gpb.2012.10.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2012] [Revised: 09/24/2012] [Accepted: 10/19/2012] [Indexed: 11/28/2022]
Abstract
A resource that provides candidate transcription factor binding sites (TFBSs) does not currently exist for cattle. Such data is necessary, as predicted sites may serve as excellent starting locations for future omics studies to develop transcriptional regulation hypotheses. In order to generate this resource, we employed a phylogenetic footprinting approach—using sequence conservation across cattle, human and dog—and position-specific scoring matrices to identify 379,333 putative TFBSs upstream of nearly 8000 Mammalian Gene Collection (MGC) annotated genes within the cattle genome. Comparisons of our predictions to known binding site loci within the PCK1, ACTA1 and G6PC promoter regions revealed 75% sensitivity for our method of discovery. Additionally, we intersected our predictions with known cattle SNP variants in dbSNP and on the Illumina BovineHD 770k and Bos 1 SNP chips, finding 7534, 444 and 346 overlaps, respectively. Due to our stringent filtering criteria, these results represent high quality predictions of putative TFBSs within the cattle genome. All binding site predictions are freely available at http://bfgl.anri.barc.usda.gov/BovineTFBS/ or http://199.133.54.77/BovineTFBS.
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Affiliation(s)
- Derek M Bickhart
- Bovine Functional Genomics Laboratory, United States Department of Agriculture, Agricultural Research Service USDA-ARS, Beltsville Agricultural Research Service, Beltsville, MD 20705, USA
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MIRTFnet: analysis of miRNA regulated transcription factors. PLoS One 2011; 6:e22519. [PMID: 21857930 PMCID: PMC3157336 DOI: 10.1371/journal.pone.0022519] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2011] [Accepted: 06/27/2011] [Indexed: 01/02/2023] Open
Abstract
Background Several expression datasets of miRNA transfection experiments are available to analyze the regulatory mechanisms downstream of miRNA effects. The miRNA induced regulatory effects can be propagated via transcription factors (TFs). We propose the method MIRTFnet to identify miRNA controlled TFs as active regulators if their downstream target genes are differentially expressed. Methodology/Principal Findings MIRTFnet enables the determination of active transcription factors (TFs) and is sensitive enough to exploit the small expression changes induced by the activity of miRNAs. For this purpose, different statistical tests were evaluated and compared. Based on the identified TFs, databases, computational predictions and the literature we construct regulatory models downstream of miRNA actions. Transfecting miRNAs are connected to active regulators via a network of miRNA-TF, miRNA-kinase-TF as well as TF-TF relationships. Based on 43 transfection experiments involving 17 cancer relevant miRNAs we show that MIRTFnet detects active regulators reliably. Conclusions/Significance The consensus of the individual regulatory models shows that the examined miRNAs induce activity changes in a common core of transcription factors involved in cancer related processes such as proliferation or apoptosis.
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A retrospective review of the roles of multifunctional glucose-6-phosphatase in blood glucose homeostasis: Genesis of the tuning/retuning hypothesis. Life Sci 2010; 87:339-49. [PMID: 20603134 DOI: 10.1016/j.lfs.2010.06.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2010] [Revised: 05/20/2010] [Accepted: 06/29/2010] [Indexed: 01/30/2023]
Abstract
In a scientific career spanning from 1955 to 2000, my research focused on phosphoenolpyruvate carboxykinase and glucose-6-phosphatase. Grounded in basic enzymology, and initially pursuing the steady-state rate behavior of isolated preparations of these critically important gluconeogenic enzymes, our key findings were confirmed and extended by in situ enzyme rate experiments exploiting isolated liver perfusions. These efforts culminated in the discovery of the liver cytosolic isozyme of carboxykinase, known today as (GTP)PEPCK-C (EC4.1.1.32) and also revealed a biosynthetic function and multicomponent nature of glucose-6-phosphatase (EC3.1.3.9). Discovery that glucose-6-phosphatase possessed an intrinsically biosynthetic activity, now known as carbamyl-P:glucose phosphotransferase - along with a deeper consideration of the enzyme's hydrolytic activity as well as the action of liver glucokinase resulted in the evolution of Tuning/Retuning Hypothesis for blood glucose homeostasis in health and disease. This THEN & NOW review shares with the reader the joy and exhilaration of major scientific discovery and also contrasts the methodologies and approaches on which I relied with those currently in use.
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