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Sok P, Sabo A, Almli LM, Jenkins MM, Nembhard WN, Agopian AJ, Bamshad MJ, Blue EE, Brody LC, Brown AL, Browne ML, Canfield MA, Carmichael SL, Chong JX, Dugan-Perez S, Feldkamp ML, Finnell RH, Gibbs RA, Kay DM, Lei Y, Meng Q, Moore CA, Mullikin JC, Muzny D, Olshan AF, Pangilinan F, Reefhuis J, Romitti PA, Schraw JM, Shaw GM, Werler MM, Harpavat S, Lupo PJ. Exome-wide assessment of isolated biliary atresia: A report from the National Birth Defects Prevention Study using child-parent trios and a case-control design to identify novel rare variants. Am J Med Genet A 2023; 191:1546-1556. [PMID: 36942736 PMCID: PMC10947986 DOI: 10.1002/ajmg.a.63185] [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: 12/07/2022] [Revised: 02/07/2023] [Accepted: 03/07/2023] [Indexed: 03/23/2023]
Abstract
The etiology of biliary atresia (BA) is unknown, but recent studies suggest a role for rare protein-altering variants (PAVs). Exome sequencing data from the National Birth Defects Prevention Study on 54 child-parent trios, one child-mother duo, and 1513 parents of children with other birth defects were analyzed. Most (91%) cases were isolated BA. We performed (1) a trio-based analysis to identify rare de novo, homozygous, and compound heterozygous PAVs and (2) a case-control analysis using a sequence kernel-based association test to identify genes enriched with rare PAVs. While we replicated previous findings on PKD1L1, our results do not suggest that recurrent de novo PAVs play important roles in BA susceptibility. In fact, our finding in NOTCH2, a disease gene associated with Alagille syndrome, highlights the difficulty in BA diagnosis. Notably, IFRD2 has been implicated in other gastrointestinal conditions and warrants additional study. Overall, our findings strengthen the hypothesis that the etiology of BA is complex.
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Affiliation(s)
- Pagna Sok
- Pediatrics, Baylor College of Medicine, Houston, Texas,
USA
| | - Aniko Sabo
- Human Genome Sequencing Center, Baylor College of Medicine,
Houston, Texas, USA
| | - Lynn M. Almli
- National Center on Birth Defects and Developmental
Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia,
USA
| | - Mary M. Jenkins
- National Center on Birth Defects and Developmental
Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia,
USA
| | - Wendy N. Nembhard
- Fay W. Boozman College of Public Health, University of
Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - A. J. Agopian
- Department of Epidemiology, Human Genetics, and
Environmental Sciences, University of Texas School of Public Health, Houston, Texas,
USA
| | - Michael J. Bamshad
- Division of Genetic Medicine, Department of Pediatrics,
University of Washington, Seattle, Washington, USA
- Brotman Baty Institute for Precision Medicine, Seattle,
Washington, USA
| | - Elizabeth E. Blue
- Brotman Baty Institute for Precision Medicine, Seattle,
Washington, USA
- Division of Medical Genetics, Department of Medicine,
University of Washington, Seattle, Washington, USA
| | - Lawrence C. Brody
- Genetics and Environment Interaction Section, National
Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland,
USA
| | | | - Marilyn L. Browne
- Birth Defects Registry, New York State Department of
Health, Albany, New York, USA
- Department of Epidemiology and Biostatistics, School of
Public Health, University at Albany, Rensselaer, New York, USA
| | - Mark A. Canfield
- Birth Defects Epidemiology and Surveillance Branch, Texas
Department of State Health Services, Austin, Texas, USA
| | - Suzan L. Carmichael
- Department of Pediatrics, Stanford University School of
Medicine, Stanford, California, USA
| | - Jessica X. Chong
- Division of Genetic Medicine, Department of Pediatrics,
University of Washington, Seattle, Washington, USA
- Brotman Baty Institute for Precision Medicine, Seattle,
Washington, USA
| | - Shannon Dugan-Perez
- Human Genome Sequencing Center, Baylor College of Medicine,
Houston, Texas, USA
| | - Marcia L. Feldkamp
- Division of Medical Genetics, Department of Pediatrics,
University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Richard H. Finnell
- Department of Medicine, Center for Precision
Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine,
Houston, Texas, USA
| | - Denise M. Kay
- Division of Genetics, Wadsworth Center, New York State
Department of Health, Albany, New York, USA
| | - Yunping Lei
- Department of Medicine, Center for Precision
Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Qingchang Meng
- Human Genome Sequencing Center, Baylor College of Medicine,
Houston, Texas, USA
| | - Cynthia A. Moore
- National Center on Birth Defects and Developmental
Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia,
USA
| | - James C. Mullikin
- Genetics and Environment Interaction Section, National
Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland,
USA
| | - Donna Muzny
- Human Genome Sequencing Center, Baylor College of Medicine,
Houston, Texas, USA
| | - Andrew F. Olshan
- Department of Epidemiology, Gillings School of Global
Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Faith Pangilinan
- Genetics and Environment Interaction Section, National
Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland,
USA
| | - Jennita Reefhuis
- National Center on Birth Defects and Developmental
Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia,
USA
| | - Paul A. Romitti
- Department of Epidemiology, University of Iowa College of
Public Health, Iowa City, Iowa, USA
| | | | - Gary M. Shaw
- Department of Pediatrics, Stanford University School of
Medicine, Stanford, California, USA
| | - Martha M. Werler
- Department of Epidemiology, Boston University, Boston,
Massachusetts, USA
| | - Sanjiv Harpavat
- Pediatrics, Baylor College of Medicine, Houston, Texas,
USA
- Gastroenterology, Hepatology and Nutrition, Texas
Children’s Hospital, Houston, Texas, USA
| | - Philip J. Lupo
- Pediatrics, Baylor College of Medicine, Houston, Texas,
USA
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Mei K, Chen Z, Wang Q, Luo Y, Huang Y, Wang B, Gu R. The role of intestinal immune cells and matrix metalloproteinases in inflammatory bowel disease. Front Immunol 2023; 13:1067950. [PMID: 36733384 PMCID: PMC9888429 DOI: 10.3389/fimmu.2022.1067950] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 12/23/2022] [Indexed: 01/19/2023] Open
Abstract
Inflammatory bowel disease (IBD) has become globally intractable. MMPs play a key role in many inflammatory diseases. However, little is known about the role of MMPs in IBD. In this study, IBD expression profiles were screened from public Gene Expression Omnibus datasets. Functional enrichment analysis revealed that IBD-related specific functions were associated with immune pathways. Five MMPS-related disease markers, namely MMP-9, CD160, PTGDS, SLC26A8, and TLR5, were selected by machine learning and the correlation between each marker and immune cells was evaluated. We then induced colitis in C57 mice using sodium dextran sulfate and validated model construction through HE staining of the mouse colon. WB and immunofluorescence experiments confirmed that the expression levels of MMP-9, PTGDS, SLC26A8, and CD160 in colitis were significantly increased, whereas that of TLR5 were decreased. Flow cytometry analysis revealed that MMPs regulate intestinal inflammation and immunity mainly through CD8 in colitis. Our findings reveal that MMPs play a crucial role in the pathogenesis of IBD and are related to the infiltration of immune cells, suggesting that MMPs may promote the development of IBD by activating immune infiltration and the immune response. This study provides insights for further studies on the occurrence and development of IBD.
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Affiliation(s)
- Kun Mei
- Nanjing University of Chinese Medicine, Nanjing, China,Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Zilu Chen
- Nanjing University of Chinese Medicine, Nanjing, China
| | - Qin Wang
- Nanjing University of Chinese Medicine, Nanjing, China
| | - Yi Luo
- Department of Oncology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, Jiangsu, China,Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yan Huang
- Department of Ultrasound, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, China,*Correspondence: Renjun Gu, ; Bin Wang, ; Yan Huang,
| | - Bin Wang
- Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, China,*Correspondence: Renjun Gu, ; Bin Wang, ; Yan Huang,
| | - Renjun Gu
- Nanjing University of Chinese Medicine, Nanjing, China,School of Chinese Medicine & School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China,Department of Gastroenterology and Hepatology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China,*Correspondence: Renjun Gu, ; Bin Wang, ; Yan Huang,
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3
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Identification of Gene Coexpression Modules and Prognostic Genes Associated with Papillary Thyroid Cancer. JOURNAL OF ONCOLOGY 2022; 2022:9025198. [PMID: 36245994 PMCID: PMC9553521 DOI: 10.1155/2022/9025198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/21/2022] [Accepted: 09/02/2022] [Indexed: 11/17/2022]
Abstract
Thyroid cancer is a great part of the endocrine tumor with an increasing incidence. Papillary thyroid carcinoma (PTC) is the most common subtype. With the enormous pace taken in the microarray technology, bioinformatics is applied in data mining more frequently. Weighted gene coexpression network analysis (WGCNA) can perform analysis combining clinic information. We performed WGCNA for prognostic genes associated with PTC. From the GEO profile, we got ten modules. We identified a key module that was closest to patients’ survival time. Then, we screened five hub genes (ATRX, BOD1L1, CEP290, DCAF16, and NEK1) from the key module based on the clinical information from TCGA. These five genes not only significantly differ between the normal and tumor groups but have prognostic value. The receiver operating characteristic (ROC) curve indicated that they had the potential to serve as prognostic genes. We performed next-generation sequencing using the PTC tissue to get more convincing evidence. Besides, we established a new signature and verified it through K-M plots and ROC. The signature could be an independent factor for the prognosis of PTC, and we built a nomogram to carry out a quantitative study. In a word, the hub genes we explored in the study deserved more basic and clinical research.
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Skopelitou D, Srivastava A, Miao B, Kumar A, Dymerska D, Paramasivam N, Schlesner M, Lubinski J, Hemminki K, Försti A, Reddy Bandapalli O. Whole exome sequencing identifies novel germline variants of SLC15A4 gene as potentially cancer predisposing in familial colorectal cancer. Mol Genet Genomics 2022; 297:965-979. [PMID: 35562597 PMCID: PMC9250485 DOI: 10.1007/s00438-022-01896-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 04/02/2022] [Indexed: 11/25/2022]
Abstract
About 15% of colorectal cancer (CRC) patients have first-degree relatives affected by the same malignancy. However, for most families the cause of familial aggregation of CRC is unknown. To identify novel high-to-moderate-penetrance germline variants underlying CRC susceptibility, we performed whole exome sequencing (WES) on four CRC cases and two unaffected members of a Polish family without any mutation in known CRC predisposition genes. After WES, we used our in-house developed Familial Cancer Variant Prioritization Pipeline and identified two novel variants in the solute carrier family 15 member 4 (SLC15A4) gene. The heterozygous missense variant, p. Y444C, was predicted to affect the phylogenetically conserved PTR2/POT domain and to have a deleterious effect on the function of the encoded peptide/histidine transporter. The other variant was located in the upstream region of the same gene (GRCh37.p13, 12_129308531_C_T; 43 bp upstream of transcription start site, ENST00000266771.5) and it was annotated to affect the promoter region of SLC15A4 as well as binding sites of 17 different transcription factors. Our findings of two distinct variants in the same gene may indicate a synergistic up-regulation of SLC15A4 as the underlying genetic cause and implicate this gene for the first time in genetic inheritance of familial CRC.
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Affiliation(s)
- Diamanto Skopelitou
- Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Aayushi Srivastava
- Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Beiping Miao
- Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Abhishek Kumar
- Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Bioinformatics, International Technology Park, Bangalore, India
- Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104 India
| | - Dagmara Dymerska
- Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Nagarajan Paramasivam
- Computational Oncology, Molecular Diagnostics Program, National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Matthias Schlesner
- Bioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Kari Hemminki
- Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, 30605 Pilsen, Czech Republic
| | - Asta Försti
- Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Obul Reddy Bandapalli
- Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
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5
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RNA-seq profiling reveals PBMC RNA as a potential biomarker for hepatocellular carcinoma. Sci Rep 2021; 11:17797. [PMID: 34493740 PMCID: PMC8423838 DOI: 10.1038/s41598-021-96952-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 08/11/2021] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most common malignant tumors and has extremely high morbidity and mortality. Although many existing studies have focused on the identification of biomarkers, little information has been uncovered regarding the PBMC RNA profile of HCC. We attempted to create a profile throughout using expression of peripheral blood mononuclear cell (PBMC) RNA using RNA-seq technology and compared the transcriptome between HCC patients and healthy controls. Seventeen patients and 17 matched healthy controls were included in this study, and PBMC RNA was sequenced from all samples. Sequencing data were analyzed using bioinformatics tools, and quantitative reverse transcription PCR (qRT-PCR) was used for selected validation of DEGs. A total of 1,578 dysregulated genes were found in the PBMC samples, including 1,334 upregulated genes and 244 downregulated genes. GO enrichment and KEGG studies revealed that HCC is closely linked to differentially expressed genes (DEGs) implicated in the immune response. Expression of 6 selected genes (SELENBP1, SLC4A1, SLC26A8, HSPA8P4, CALM1, and RPL7p24) was confirmed by qRT-PCR, and higher sensitivity and specificity were obtained by ROC analysis of the 6 genes. CALM1 was found to gradually decrease as tumors enlarged. Nearly the opposite expression modes were obtained when compared to tumor sequencing data. Immune cell populations exhibited significant differences between HCC and controls. These findings suggest a potential biomarker for the diagnosis of HCC. This study provides new perspectives for liver cancer development and possible future successful clinical diagnosis.
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Ngo LT, Wang WK, Tseng YT, Chang TC, Kuo PL, Chau LK, Huang TT. MutS protein-based fiber optic particle plasmon resonance biosensor for detecting single nucleotide polymorphisms. Anal Bioanal Chem 2021; 413:3329-3337. [PMID: 33712917 DOI: 10.1007/s00216-021-03271-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 02/08/2021] [Accepted: 03/04/2021] [Indexed: 01/29/2023]
Abstract
A new biosensing method is presented to detect gene mutation by integrating the MutS protein from bacteria with a fiber optic particle plasmon resonance (FOPPR) sensing system. In this method, the MutS protein is conjugated with gold nanoparticles (AuNPs) deposited on an optical fiber core surface. The target double-stranded DNA containing an A and C mismatched base pair in a sample can be captured by the MutS protein, causing increased absorption of green light launching into the fiber and hence a decrease in transmitted light intensity through the fiber. As the signal change is enhanced through consecutive total internal reflections along the fiber, the limit of detection for an AC mismatch heteroduplex DNA can be as low as 0.49 nM. Because a microfluidic chip is used to contain the optical fiber, the narrow channel width allows an analysis time as short as 15 min. Furthermore, the label-free and real-time nature of the FOPPR sensing system enables determination of binding affinity and kinetics between MutS and single-base mismatched DNA. The method has been validated using a heterozygous PCR sample from a patient to determine the allelic fraction. The obtained allelic fraction of 0.474 reasonably agrees with the expected allelic fraction of 0.5. Therefore, the MutS-functionalized FOPPR sensor may potentially provide a convenient quantitative tool to detect single nucleotide polymorphisms in biological samples with a short analysis time at the point-of-care sites.
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Affiliation(s)
- Loan Thi Ngo
- Department of Chemistry and Biochemistry and Center for Nano Bio-Detection, National Chung Cheng University, Chiayi, 62102, Taiwan
| | - Wei-Kai Wang
- Department of Dentistry, Institute of Oral Medicine, Department of Stomatology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Yen-Ta Tseng
- Department of Chemistry and Biochemistry and Center for Nano Bio-Detection, National Chung Cheng University, Chiayi, 62102, Taiwan
| | - Ting-Chou Chang
- Department of Chemistry and Biochemistry and Center for Nano Bio-Detection, National Chung Cheng University, Chiayi, 62102, Taiwan
| | - Pao-Lin Kuo
- Department of Obstetrics Gynecology, National Cheng Kung University Hospital, College of Medicine and Hospital, National Cheng Kung University, Tainan, 70101, Taiwan
| | - Lai-Kwan Chau
- Department of Chemistry and Biochemistry and Center for Nano Bio-Detection, National Chung Cheng University, Chiayi, 62102, Taiwan.
| | - Tze-Ta Huang
- Department of Dentistry, Institute of Oral Medicine, Department of Stomatology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan.
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7
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te Paske IBAW, Ligtenberg MJL, Hoogerbrugge N, de Voer RM. Candidate Gene Discovery in Hereditary Colorectal Cancer and Polyposis Syndromes-Considerations for Future Studies. Int J Mol Sci 2020; 21:E8757. [PMID: 33228212 PMCID: PMC7699508 DOI: 10.3390/ijms21228757] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 11/17/2020] [Accepted: 11/18/2020] [Indexed: 12/15/2022] Open
Abstract
To discover novel high-penetrant risk loci for hereditary colorectal cancer (hCRC) and polyposis syndromes many whole-exome and whole-genome sequencing (WES/WGS) studies have been performed. Remarkably, these studies resulted in only a few novel high-penetrant risk genes. Given this observation, the possibility and strategy to identify high-penetrant risk genes for hCRC and polyposis needs reconsideration. Therefore, we reviewed the study design of WES/WGS-based hCRC and polyposis gene discovery studies (n = 37) and provide recommendations to optimize discovery and validation strategies. The group of genetically unresolved patients is phenotypically heterogeneous, and likely composed of distinct molecular subtypes. This knowledge advocates for the screening of a homogeneous, stringently preselected discovery cohort and obtaining multi-level evidence for variant pathogenicity. This evidence can be collected by characterizing the molecular landscape of tumors from individuals with the same affected gene or by functional validation in cell-based models. Together, the combined approach of a phenotype-driven, tumor-based candidate gene search might elucidate the potential contribution of novel genetic predispositions in genetically unresolved hCRC and polyposis.
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Affiliation(s)
- Iris B. A. W. te Paske
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (I.B.A.W.t.P.); (M.J.L.L.); (N.H.)
| | - Marjolijn J. L. Ligtenberg
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (I.B.A.W.t.P.); (M.J.L.L.); (N.H.)
- Department of Pathology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Nicoline Hoogerbrugge
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (I.B.A.W.t.P.); (M.J.L.L.); (N.H.)
| | - Richarda M. de Voer
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands; (I.B.A.W.t.P.); (M.J.L.L.); (N.H.)
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8
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Casas E, Ma H, Lippolis JD. Expression of Viral microRNAs in Serum and White Blood Cells of Cows Exposed to Bovine Leukemia Virus. Front Vet Sci 2020; 7:536390. [PMID: 33195511 PMCID: PMC7536277 DOI: 10.3389/fvets.2020.536390] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 08/17/2020] [Indexed: 12/16/2022] Open
Abstract
Bovine leukemia virus (BLV) affects the health and productivity of cattle. The virus causes abnormal immune function and immunosuppression. MicroRNAs (miRNAs) are involved in gene expression, having been associated with stress and immune response, tumor growth, and viral infection. The objective of this study was to determine the expression of circulating miRNAs produced by BLV in animals exposed to the virus. Sera from 14 animals were collected to establish IgG reactivity to BLV by ELISA, where seven animals were seropositive and seven were seronegative for BLV exposure. White blood cells (WBC) from each animal were also collected and miRNAs were identified by sequencing from sera and WBC. The seropositive group had higher counts of BLV miRNAs when compared to seronegative group in sera and WBC. Blv-miR-1-3p, blv-miR-B2-5p, blv-miR-B4-3p, and blv-miR-B5-5p were statistically significant (P < 0.00001) in serum with an average of 7 log2 fold difference between seropositive and seronegative groups. Blv-miR-B1-3p, blv-miR-B1-5p, blv-miR-B3, blv-miR-B4-3p, blv-miR-B4-5p, blv-miR-B5-5p were statistically significant (P < 1.08e−9) in WBC with an average of 7 log2 fold difference between the seropositive and the seronegative groups. Blv-miR-B2-3p and blv-miR-B2-5p were also statistically significant in WBC (P < 2.79e-17), with an average of 27 log2 fold difference between the seropositive and the seronegative groups. There were 18 genes identified as being potential targets for blv-miR-B1-5p, and 3 genes for blv-miR-B4-5p. Gene ontology analysis indicated that the target genes are mainly involved in the response to stress and in the immune system process. Several of the identified genes have been associated with leukemia development in humans and cattle. Differential expression of genes targeted by BLV miRNAs should be evaluated to determine their effect in BLV replication.
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Affiliation(s)
- Eduardo Casas
- National Animal Disease Center, Agricultural Research Service (ARS), United States Department of Agriculture (USDA), Ames, IA, United States
| | - Hao Ma
- National Animal Disease Center, Agricultural Research Service (ARS), United States Department of Agriculture (USDA), Ames, IA, United States
| | - John D Lippolis
- National Animal Disease Center, Agricultural Research Service (ARS), United States Department of Agriculture (USDA), Ames, IA, United States
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9
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Rotunno M, Barajas R, Clyne M, Hoover E, Simonds NI, Lam TK, Mechanic LE, Goldstein AM, Gillanders EM. A Systematic Literature Review of Whole Exome and Genome Sequencing Population Studies of Genetic Susceptibility to Cancer. Cancer Epidemiol Biomarkers Prev 2020; 29:1519-1534. [PMID: 32467344 DOI: 10.1158/1055-9965.epi-19-1551] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 03/17/2020] [Accepted: 05/13/2020] [Indexed: 01/03/2023] Open
Abstract
The application of next-generation sequencing (NGS) technologies in cancer research has accelerated the discovery of somatic mutations; however, progress in the identification of germline variation associated with cancer risk is less clear. We conducted a systematic literature review of cancer genetic susceptibility studies that used NGS technologies at an exome/genome-wide scale to obtain a fuller understanding of the research landscape to date and to inform future studies. The variability across studies on methodologies and reporting was considerable. Most studies sequenced few high-risk (mainly European) families, used a candidate analysis approach, and identified potential cancer-related germline variants or genes in a small fraction of the sequenced cancer cases. This review highlights the importance of establishing consensus on standards for the application and reporting of variants filtering strategies. It also describes the progress in the identification of cancer-related germline variation to date. These findings point to the untapped potential in conducting studies with appropriately sized and racially diverse families and populations, combining results across studies and expanding beyond a candidate analysis approach to advance the discovery of genetic variation that accounts for the unexplained cancer heritability.
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Affiliation(s)
- Melissa Rotunno
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland.
| | - Rolando Barajas
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Mindy Clyne
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Elise Hoover
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | | | - Tram Kim Lam
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Leah E Mechanic
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Alisa M Goldstein
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Elizabeth M Gillanders
- National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
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10
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Peculis R, Balcere I, Radovica-Spalvina I, Konrade I, Caune O, Megnis K, Rovite V, Stukens J, Nazarovs J, Breiksa A, Kiecis A, Silamikelis I, Pirags V, Klovins J. Case report: recurrent pituitary adenoma has increased load of somatic variants. BMC Endocr Disord 2020; 20:17. [PMID: 31996211 PMCID: PMC6988340 DOI: 10.1186/s12902-020-0493-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 01/16/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Pituitary adenomas (PA) have an increased potential for relapse in one to 5 years after resection. In this study, we investigated the genetic differences in genomic DNA of primary and rapidly recurrent tumours in the same patient to explain the causality mechanisms of PA recurrence. CASE PRESENTATION The patient was a 69-year-old female with non-functional pituitary macroadenoma with extension into the left cavernous sinus (Knosp grade 2) who underwent craniotomy and partial resection in August 2010. Two years later, the patient had prolonged tumour growth with an essential suprasellar extension (Knosp grade 2), and a second craniotomy with partial tumour resection was performed in September 2012. In both tumours, the KI-67 level was below 1.5%. Exome sequencing via semiconductor sequencing of patient germline DNA and somatic DNA from both tumours was performed. Tmap alignment and Platypus variant calling were performed followed by variant filtering and manual review with IGV software. We observed an increased load of missense variants in the recurrent PA tumour when compared to the original tumour. The number of detected variants increased from ten to 26 and potential clonal expansion of four variants was observed. Additionally, targeted SNP analysis revealed five rare missense SNPs with a potential impact on the function of the encoded proteins. CONCLUSIONS In this case study, an SNP located in HRAS is the most likely candidate inducing rapid PA progression. The relapsed PA tumour had a higher variation load and fast tumour recurrence in this patient could be caused by clonal expansion of the leftover tumour tissue.
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Affiliation(s)
- Raitis Peculis
- Latvian Biomedical Research and Study Centre, Ratsupites str. 1-k1, Riga, LV-1067 Latvia
| | - Inga Balcere
- Riga East Clinical University Hospital, Hipokrata str. 2, Riga, LV-1038 Latvia
- Riga Stradins University, Dzirciema str. 16, Riga, LV-1007 Latvia
| | - Ilze Radovica-Spalvina
- Latvian Biomedical Research and Study Centre, Ratsupites str. 1-k1, Riga, LV-1067 Latvia
| | - Ilze Konrade
- Riga East Clinical University Hospital, Hipokrata str. 2, Riga, LV-1038 Latvia
- Riga Stradins University, Dzirciema str. 16, Riga, LV-1007 Latvia
| | - Olivija Caune
- Riga East Clinical University Hospital, Hipokrata str. 2, Riga, LV-1038 Latvia
| | - Kaspars Megnis
- Latvian Biomedical Research and Study Centre, Ratsupites str. 1-k1, Riga, LV-1067 Latvia
| | - Vita Rovite
- Latvian Biomedical Research and Study Centre, Ratsupites str. 1-k1, Riga, LV-1067 Latvia
- University of Latvia, Raina blvd. 19, Riga, LV-1586 Latvia
| | - Janis Stukens
- Pauls Stradins Clinical University Hospital, Pilsonu str. 13, Riga, LV-1002 Latvia
| | - Jurijs Nazarovs
- Pauls Stradins Clinical University Hospital, Pilsonu str. 13, Riga, LV-1002 Latvia
| | - Austra Breiksa
- Pauls Stradins Clinical University Hospital, Pilsonu str. 13, Riga, LV-1002 Latvia
| | - Aigars Kiecis
- Riga East Clinical University Hospital, Hipokrata str. 2, Riga, LV-1038 Latvia
| | - Ivars Silamikelis
- Latvian Biomedical Research and Study Centre, Ratsupites str. 1-k1, Riga, LV-1067 Latvia
| | - Valdis Pirags
- University of Latvia, Raina blvd. 19, Riga, LV-1586 Latvia
- Pauls Stradins Clinical University Hospital, Pilsonu str. 13, Riga, LV-1002 Latvia
| | - Janis Klovins
- Latvian Biomedical Research and Study Centre, Ratsupites str. 1-k1, Riga, LV-1067 Latvia
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Berral-Gonzalez A, Riffo-Campos AL, Ayala G. OMICfpp: a fuzzy approach for paired RNA-Seq counts. BMC Genomics 2019; 20:259. [PMID: 30940089 PMCID: PMC6444640 DOI: 10.1186/s12864-019-5496-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 01/29/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND RNA sequencing is a widely used technology for differential expression analysis. However, the RNA-Seq do not provide accurate absolute measurements and the results can be different for each pipeline used. The major problem in statistical analysis of RNA-Seq and in the omics data in general, is the small sample size with respect to the large number of variables. In addition, experimental design must be taken into account and few tools consider it. RESULTS We propose OMICfpp, a method for the statistical analysis of RNA-Seq paired design data. First, we obtain a p-value for each case-control pair using a binomial test. These p-values are aggregated using an ordered weighted average (OWA) with a given orness previously chosen. The aggregated p-value from the original data is compared with the aggregated p-value obtained using the same method applied to random pairs. These new pairs are generated using between-pairs and complete randomization distributions. This randomization p-value is used as a raw p-value to test the differential expression of each gene. The OMICfpp method is evaluated using public data sets of 68 sample pairs from patients with colorectal cancer. We validate our results through bibliographic search of the reported genes and using simulated data set. Furthermore, we compared our results with those obtained by the methods edgeR and DESeq2 for paired samples. Finally, we propose new target genes to validate these as gene expression signatures in colorectal cancer. OMICfpp is available at http://www.uv.es/ayala/software/OMICfpp_0.2.tar.gz . CONCLUSIONS Our study shows that OMICfpp is an accurate method for differential expression analysis in RNA-Seq data with paired design. In addition, we propose the use of randomized p-values pattern graphic as a powerful and robust method to select the target genes for experimental validation.
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Affiliation(s)
- Alberto Berral-Gonzalez
- Grupo de Investigación Bioinformática y Genómica Funcional. Laboratorio 19. Centro de Investigación del Cáncer (CiC-IBMCC, Universidad de Salamanca-CSIC, Campus Universitario Miguel de Unamuno s/n, Salamanca, 37007 Spain
| | - Angela L. Riffo-Campos
- Universidad de La Frontera. Centro De Excelencia de Modelación y Computación Científica, C/ Montevideo 740, Temuco, Chile
| | - Guillermo Ayala
- Universidad de Valencia. Departamento de Estadística e Investigación Operativa, Avda. Vicent Andrés Estellés, 1, Burjasot, 46100 Spain
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