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Podgląd okładki
Tytuł :
Identification of blood-derived candidate gene markers and a new 7-gene diagnostic model for multiple sclerosis.
Autorzy :
Chen X; Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
Hou H; Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
Qiao H; Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
Fan H; Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
Zhao T; Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
Dong M; Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China. .
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Źródło :
Biological research [Biol Res] 2021 Apr 01; Vol. 54 (1), pp. 12. Date of Electronic Publication: 2021 Apr 01.
Typ publikacji :
Journal Article
MeSH Terms :
Biomarkers*
Gene Expression Profiling*
Leukocytes, Mononuclear*
Multiple Sclerosis*/diagnosis
Multiple Sclerosis*/genetics
Computational Biology ; Gene Regulatory Networks ; Humans ; Oligonucleotide Array Sequence Analysis
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Six genes involved in prognosis of hepatocellular carcinoma identified by Cox hazard regression.
Autorzy :
Dai Q; Shenzhen Center for Chronic Disease Control, Shenzhen, People's Republic of China.; Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China.; Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, Changsha, 410078, People's Republic of China.; Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, People's Republic of China.; National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Liu T; Shenzhen Center for Chronic Disease Control, Shenzhen, People's Republic of China.
Gao Y; Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China.; Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, Changsha, 410078, People's Republic of China.; Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, People's Republic of China.; National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Zhou H; Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China.; Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, Changsha, 410078, People's Republic of China.; Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, People's Republic of China.; National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, People's Republic of China.
Li X; The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, 510060, People's Republic of China. .
Zhang W; Shenzhen Center for Chronic Disease Control, Shenzhen, People's Republic of China. .; Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, People's Republic of China. .; Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, Changsha, 410078, People's Republic of China. .; Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha, 410078, People's Republic of China. .; National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, 410008, People's Republic of China. .
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Źródło :
BMC bioinformatics [BMC Bioinformatics] 2021 Mar 30; Vol. 22 (1), pp. 167. Date of Electronic Publication: 2021 Mar 30.
Typ publikacji :
Journal Article
MeSH Terms :
Carcinoma, Hepatocellular*/genetics
Gene Expression Profiling*
Liver Neoplasms*/genetics
Biomarkers, Tumor ; Gene Expression Regulation, Neoplastic ; Humans ; Reproducibility of Results
Czasopismo naukowe
Szczegóły Pełny tekst
Podgląd okładki
Tytuł :
DeltaNeTS+: elucidating the mechanism of drugs and diseases using gene expression and transcriptional regulatory networks.
Autorzy :
Noh H; Institute for Chemical and Bioengineering, ETH Zurich, 8093, Zurich, Switzerland.; Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.; Columbia University Medical Center, New York, NY, 10032, USA.
Hua Z; Institute for Chemical and Bioengineering, ETH Zurich, 8093, Zurich, Switzerland.
Chrysinas P; Department of Chemical and Biological Engineering, University at Buffalo - SUNY, Buffalo, NY, 14260, USA.
Shoemaker JE; Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA.; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Gunawan R; Department of Chemical and Biological Engineering, University at Buffalo - SUNY, Buffalo, NY, 14260, USA. .
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Źródło :
BMC bioinformatics [BMC Bioinformatics] 2021 Mar 04; Vol. 22 (1), pp. 108. Date of Electronic Publication: 2021 Mar 04.
Typ publikacji :
Journal Article
MeSH Terms :
Gene Expression Profiling*
Gene Regulatory Networks*
Pharmaceutical Preparations*
Computational Biology/*methods
Algorithms ; Animals ; Humans ; Influenza A Virus, H1N1 Subtype ; Influenza A Virus, H5N1 Subtype
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
[Identification of Hub Genes for Ovarian Cancer Stem Cell Properties with Weighted Gene Co-expression Network Analysis].
Autorzy :
Luo M; Department of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China.
Zeng H; Department of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China.
Ma XY; State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China.
Ma XL; Department of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China.
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Źródło :
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition [Sichuan Da Xue Xue Bao Yi Xue Ban] 2021 Mar; Vol. 52 (2), pp. 248-258.
Typ publikacji :
Journal Article
MeSH Terms :
Gene Expression Profiling*
Ovarian Neoplasms*/genetics
Carcinoma, Ovarian Epithelial ; Female ; Gene Regulatory Networks ; Humans ; NIMA-Related Kinases ; Neoplastic Stem Cells
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
miR-490 suppresses telomere maintenance program and associated hallmarks in glioblastoma.
Autorzy :
Vinchure OS; Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology, Delhi, New Delhi, 110016, India.
Whittemore K; Telomeres and Telomerase Group, Spanish National Cancer Research Centre (CNIO), Melchor Fernandez Almagro 3, 28029, Madrid, Spain.
Kushwah D; Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology, Delhi, New Delhi, 110016, India.
Blasco MA; Telomeres and Telomerase Group, Spanish National Cancer Research Centre (CNIO), Melchor Fernandez Almagro 3, 28029, Madrid, Spain.
Kulshreshtha R; Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology, Delhi, New Delhi, 110016, India. .
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Źródło :
Cellular and molecular life sciences : CMLS [Cell Mol Life Sci] 2021 Mar; Vol. 78 (5), pp. 2299-2314. Date of Electronic Publication: 2020 Sep 24.
Typ publikacji :
Journal Article
MeSH Terms :
Gene Expression Profiling*
Gene Expression Regulation, Neoplastic*
Brain Neoplasms/*genetics
Glioblastoma/*genetics
MicroRNAs/*genetics
Telomere Homeostasis/*genetics
3' Untranslated Regions/genetics ; Brain Neoplasms/metabolism ; Brain Neoplasms/pathology ; Cell Line, Tumor ; Glioblastoma/metabolism ; Glioblastoma/pathology ; Humans ; Protein-Serine-Threonine Kinases/genetics ; Protein-Serine-Threonine Kinases/metabolism ; SOXB1 Transcription Factors/genetics ; SOXB1 Transcription Factors/metabolism ; SOXC Transcription Factors/genetics ; SOXC Transcription Factors/metabolism ; Tankyrases/genetics ; Tankyrases/metabolism ; Telomeric Repeat Binding Protein 2/genetics ; Telomeric Repeat Binding Protein 2/metabolism
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Transcriptome network analyses in human coronavirus infections suggest a rational use of immunomodulatory drugs for COVID-19 therapy.
Autorzy :
Wong HS; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
Guo CL; Institute of Physics, Academia Sinica, Taipei, Taiwan.
Lin GH; Master Program for Clinical Pharmacogenomics and Pharmacoproteomics, School of Pharmacy, Taipei Medical University, Taipei, Taiwan.
Lee KY; Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Division of Pulmonary Medicine, Department of Internal Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
Okada Y; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan; Laboratory of Statistical Immunology, WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan.
Chang WC; Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Master Program for Clinical Pharmacogenomics and Pharmacoproteomics, School of Pharmacy, Taipei Medical University, Taipei, Taiwan; Integrative Research Center for Critical Care, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; Division of Nephrology, Department of Internal Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan; Department of Pharmacology, National Defense Medical Center, Taipei, Taiwan. Electronic address: .
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Źródło :
Genomics [Genomics] 2021 Mar; Vol. 113 (2), pp. 564-575. Date of Electronic Publication: 2021 Jan 20.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Gene Expression Profiling*
COVID-19/*drug therapy
Immunologic Factors/*pharmacology
SARS-CoV-2/*immunology
Transcriptome/*drug effects
COVID-19/immunology ; Cell Line ; Humans ; Transcriptome/immunology
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Hemodynamic and transcriptomic studies suggest early left ventricular dysfunction in a preclinical model of severe mitral regurgitation.
Autorzy :
Corporan D; Structural Heart Research and Innovation Laboratory, Carlyle Fraser Heart Center at Emory University Hospital Midtown, Atlanta, Ga.
Onohara D; Structural Heart Research and Innovation Laboratory, Carlyle Fraser Heart Center at Emory University Hospital Midtown, Atlanta, Ga.
Amedi A; Structural Heart Research and Innovation Laboratory, Carlyle Fraser Heart Center at Emory University Hospital Midtown, Atlanta, Ga.
Saadeh M; Structural Heart Research and Innovation Laboratory, Carlyle Fraser Heart Center at Emory University Hospital Midtown, Atlanta, Ga.
Guyton RA; Structural Heart Research and Innovation Laboratory, Carlyle Fraser Heart Center at Emory University Hospital Midtown, Atlanta, Ga; Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, Ga.
Kumar S; Department of Biomedical Engineering, Emory University School of Medicine, Atlanta, Ga.
Padala M; Structural Heart Research and Innovation Laboratory, Carlyle Fraser Heart Center at Emory University Hospital Midtown, Atlanta, Ga; Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, Ga. Electronic address: .
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Źródło :
The Journal of thoracic and cardiovascular surgery [J Thorac Cardiovasc Surg] 2021 Mar; Vol. 161 (3), pp. 961-976.e22. Date of Electronic Publication: 2020 Oct 08.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Webcast
MeSH Terms :
Gene Expression Profiling*
Transcriptome*
Hemodynamics/*genetics
Mitral Valve/*physiopathology
Mitral Valve Insufficiency/*complications
Ventricular Dysfunction, Left/*etiology
Ventricular Function, Left/*genetics
Ventricular Remodeling/*genetics
Animals ; Disease Models, Animal ; Male ; Mitral Valve Insufficiency/genetics ; Mitral Valve Insufficiency/metabolism ; Mitral Valve Insufficiency/physiopathology ; Myocytes, Cardiac/metabolism ; Rats, Sprague-Dawley ; Severity of Illness Index ; Time Factors ; Ventricular Dysfunction, Left/genetics ; Ventricular Dysfunction, Left/metabolism ; Ventricular Dysfunction, Left/physiopathology
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
SARS-CoV-2 early infection signature identified potential key infection mechanisms and drug targets.
Autorzy :
Li Y; School of Pharmacy, Chapman University, Irvine, CA, 92618, USA.
Duche A; School of Pharmacy, Chapman University, Irvine, CA, 92618, USA.
Sayer MR; School of Pharmacy, Chapman University, Irvine, CA, 92618, USA.
Roosan D; College of Pharmacy, Western University of Health Sciences, Pomona, CA, 91766, USA.
Khalafalla FG; College of Pharmacy, California Health Sciences University, Clovis, CA, 93612, USA.
Ostrom RS; School of Pharmacy, Chapman University, Irvine, CA, 92618, USA.
Totonchy J; School of Pharmacy, Chapman University, Irvine, CA, 92618, USA.
Roosan MR; School of Pharmacy, Chapman University, Irvine, CA, 92618, USA. .
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Źródło :
BMC genomics [BMC Genomics] 2021 Feb 18; Vol. 22 (1), pp. 125. Date of Electronic Publication: 2021 Feb 18.
Typ publikacji :
Journal Article
MeSH Terms :
Drug Delivery Systems*
Gene Expression Profiling*
COVID-19/*genetics
COVID-19/*virology
SARS-CoV-2/*physiology
A549 Cells ; COVID-19/diagnosis ; Gene Expression Regulation ; Humans ; Models, Biological ; Reproducibility of Results ; Single-Cell Analysis
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
Tumour gene expression signature in primary melanoma predicts long-term outcomes.
Autorzy :
Garg M; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, UK.
Couturier DL; Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, UK.
Nsengimana J; University of Leeds School of Medicine, Leeds, United Kingdom.; Biostatistics Research Group, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Fonseca NA; CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Rua Padre Armando Quintas, 4485-601, Vairão, Portugal.
Wongchenko M; Oncology Biomarker Development, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Yan Y; Oncology Biomarker Development, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Lauss M; Lund University Cancer Center, Lund University, Lund, Sweden.
Jönsson GB; Lund University Cancer Center, Lund University, Lund, Sweden.
Newton-Bishop J; University of Leeds School of Medicine, Leeds, United Kingdom.
Parkinson C; Cambridge Cancer Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Middleton MR; Oxford NIHR Biomedical Research Centre and Department of Oncology, University of Oxford, Oxford, UK.
Bishop DT; University of Leeds School of Medicine, Leeds, United Kingdom.
McDonald S; Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Stefanos N; Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Tadross J; Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Vergara IA; Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia.; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Lo S; Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia.; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.; Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Newell F; QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Wilmott JS; Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia.; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Thompson JF; Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia.; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.; Discipline of Surgery, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Long GV; Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia.; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.; Royal North Shore and Mater Hospitals, Sydney, Australia.
Scolyer RA; Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia.; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.; Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and New South Wales Health Pathology, Sydney, NSW, Australia.
Corrie P; Cambridge Cancer Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Adams DJ; Experimental Cancer Genetics, The Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK.
Brazma A; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, UK.
Rabbie R; Cambridge Cancer Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK. .; Experimental Cancer Genetics, The Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK. .
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Źródło :
Nature communications [Nat Commun] 2021 Feb 18; Vol. 12 (1), pp. 1137. Date of Electronic Publication: 2021 Feb 18.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms :
Gene Expression Profiling*
Gene Expression Regulation, Neoplastic*
Melanoma/*genetics
Databases, Genetic ; Humans ; Machine Learning ; Multivariate Analysis ; Neoplasm Staging ; Prognosis ; Progression-Free Survival ; Proportional Hazards Models ; Reproducibility of Results ; Time Factors ; Treatment Outcome
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Molecular insight, expression profile and subcellular localization of two STAT family members, STAT1a and STAT2, from Japanese eel, Anguilla japonica.
Autorzy :
Liang Y; Fisheries College, Jimei University, Xiamen 361021, China; Fujian Engineering Research Center of Aquatic Breeding and Healthy Aquaculture, Xiamen 361021, China; Key Laboratory of Cultivation and High-value Utilization of Marine Organisms in Fujian Province, Xiamen 361000, China; Engineering Research Center of the Modern Technology for Eel Industry, Ministry of Education, P.R. China, Xiamen 361021, China. Electronic address: .
Liu H; Fisheries College, Jimei University, Xiamen 361021, China.
Li X; Fisheries College, Jimei University, Xiamen 361021, China.
Huang W; Fisheries College, Jimei University, Xiamen 361021, China; Engineering Research Center of the Modern Technology for Eel Industry, Ministry of Education, P.R. China, Xiamen 361021, China.
Huang B; Fisheries College, Jimei University, Xiamen 361021, China; Engineering Research Center of the Modern Technology for Eel Industry, Ministry of Education, P.R. China, Xiamen 361021, China.
Xu J; Fisheries College, Jimei University, Xiamen 361021, China; Engineering Research Center of the Modern Technology for Eel Industry, Ministry of Education, P.R. China, Xiamen 361021, China.
Xiong J; Fisheries College, Jimei University, Xiamen 361021, China; Engineering Research Center of the Modern Technology for Eel Industry, Ministry of Education, P.R. China, Xiamen 361021, China.
Zhai S; Fisheries College, Jimei University, Xiamen 361021, China; Engineering Research Center of the Modern Technology for Eel Industry, Ministry of Education, P.R. China, Xiamen 361021, China.
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Źródło :
Gene [Gene] 2021 Feb 15; Vol. 769, pp. 145257. Date of Electronic Publication: 2020 Oct 23.
Typ publikacji :
Journal Article
MeSH Terms :
Gene Expression Profiling*
Anguilla/*metabolism
STAT Transcription Factors/*metabolism
Subcellular Fractions/*metabolism
Amino Acid Sequence ; Animals ; Base Sequence ; RNA, Messenger/genetics ; STAT Transcription Factors/chemistry ; STAT Transcription Factors/genetics ; Sequence Homology, Amino Acid
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Transcriptome profiling analysis of tea plant (Camellia sinensis) using Oxford Nanopore long-read RNA-Seq technology.
Autorzy :
Wang F; The Department of Life Science and Agriculture, Qiannan Normal University for Nationalities, Duyun 558000, China. Electronic address: .
Chen Z; The Department of Life Science and Agriculture, Qiannan Normal University for Nationalities, Duyun 558000, China.
Pei H; The Department of Life Science and Agriculture, Qiannan Normal University for Nationalities, Duyun 558000, China.
Guo Z; The Department of Life Science and Agriculture, Qiannan Normal University for Nationalities, Duyun 558000, China.
Wen D; The Department of Life Science and Agriculture, Qiannan Normal University for Nationalities, Duyun 558000, China.
Liu R; The Department of Life Science and Agriculture, Qiannan Normal University for Nationalities, Duyun 558000, China.
Song B; The Department of Life Science and Agriculture, Qiannan Normal University for Nationalities, Duyun 558000, China. Electronic address: .
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Źródło :
Gene [Gene] 2021 Feb 15; Vol. 769, pp. 145247. Date of Electronic Publication: 2020 Oct 20.
Typ publikacji :
Journal Article
MeSH Terms :
Gene Expression Profiling*
Camellia sinensis/*genetics
Sequence Analysis, RNA/*methods
Alternative Splicing
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Identification of suitable mRNAs and microRNAs as reference genes for expression analyses in skin cells under sex hormone exposure.
Autorzy :
Fochi S; Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biology and Genetics, University of Verona, Italy. Electronic address: .
Orlandi E; Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biology and Genetics, University of Verona, Italy. Electronic address: .
Ceccuzzi L; Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biology and Genetics, University of Verona, Italy. Electronic address: .
Rodolfo M; Melanoma and Sarcoma Surgery Unit and Unit of Immunotherapy, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. Electronic address: .
Vergani E; Melanoma and Sarcoma Surgery Unit and Unit of Immunotherapy, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. Electronic address: .
Turco A; Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biology and Genetics, University of Verona, Italy. Electronic address: .
Romanelli MG; Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biology and Genetics, University of Verona, Italy. Electronic address: .
Gomez-Lira M; Department of Neurosciences, Biomedicine and Movement Sciences, Section of Biology and Genetics, University of Verona, Italy. Electronic address: .
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Źródło :
Gene [Gene] 2021 Feb 15; Vol. 769, pp. 145336. Date of Electronic Publication: 2020 Dec 07.
Typ publikacji :
Journal Article
MeSH Terms :
Gene Expression Profiling*
Gonadal Steroid Hormones/*pharmacology
MicroRNAs/*genetics
RNA, Messenger/*genetics
Skin/*drug effects
Cell Line ; Humans ; Skin/metabolism
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Identification, characterization, and expression profiles of insulin-like peptides suggest their critical roles in growth regulation of the Pacific oyster, Crassostrea gigas.
Autorzy :
Li Y; Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China.
Fu H; Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China.
Zhang F; Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China.
Ren L; Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China.
Tian J; Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China.
Li Q; Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China; Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China.
Liu S; Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China; Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China. Electronic address: .
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Źródło :
Gene [Gene] 2021 Feb 15; Vol. 769, pp. 145244. Date of Electronic Publication: 2020 Oct 16.
Typ publikacji :
Journal Article
MeSH Terms :
Gene Expression Profiling*
Crassostrea/*growth & development
Crassostrea/*metabolism
Insulin/*metabolism
Peptides/*metabolism
Amino Acid Sequence ; Animals ; Insulin/genetics ; Peptides/genetics ; Phylogeny
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
GEOlimma: differential expression analysis and feature selection using pre-existing microarray data.
Autorzy :
Lu L; Department of Biological Sciences, University of Memphis, Memphis, USA.; Department of Computer Science, University of Memphis, Memphis, USA.
Townsend KA; Department of Computer Science, University of Memphis, Memphis, USA.
Daigle BJ Jr; Department of Biological Sciences, University of Memphis, Memphis, USA. .; Department of Computer Science, University of Memphis, Memphis, USA. .
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Źródło :
BMC bioinformatics [BMC Bioinformatics] 2021 Feb 03; Vol. 22 (1), pp. 44. Date of Electronic Publication: 2021 Feb 03.
Typ publikacji :
Journal Article
MeSH Terms :
Computational Biology*
Gene Expression Profiling*
Bayes Theorem ; Child ; Female ; Humans ; Male ; Oligonucleotide Array Sequence Analysis ; Sample Size
Czasopismo naukowe
Szczegóły Pełny tekst Pełny tekst
Podgląd okładki
Tytuł :
Transcriptome Changes Reveal the Molecular Mechanisms of Humic Acid-Induced Salt Stress Tolerance in Arabidopsis.
Autorzy :
Cha JY; Division of Applied Life Science (BK21four), Plant Molecular Biology and Biotechnology Research Center, Research Institute of Life Sciences, Gyeongsang National University, Jinju 52828, Korea.
Kang SH; Genomics Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju 54874, Korea.
Ji MG; Division of Applied Life Science (BK21four), Plant Molecular Biology and Biotechnology Research Center, Research Institute of Life Sciences, Gyeongsang National University, Jinju 52828, Korea.
Shin GI; Division of Applied Life Science (BK21four), Plant Molecular Biology and Biotechnology Research Center, Research Institute of Life Sciences, Gyeongsang National University, Jinju 52828, Korea.
Jeong SY; Division of Applied Life Science (BK21four), Plant Molecular Biology and Biotechnology Research Center, Research Institute of Life Sciences, Gyeongsang National University, Jinju 52828, Korea.
Ahn G; Department of Agricultural Chemistry and Food Science & Technology, Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Korea.
Kim MG; College of Pharmacy and Research Institute of Pharmaceutical Science, Gyeongsang National University, Jinju 52828, Korea.
Jeon JR; Department of Agricultural Chemistry and Food Science & Technology, Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Korea.
Kim WY; Division of Applied Life Science (BK21four), Plant Molecular Biology and Biotechnology Research Center, Research Institute of Life Sciences, Gyeongsang National University, Jinju 52828, Korea.; Department of Agricultural Chemistry and Food Science & Technology, Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Korea.
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Źródło :
Molecules (Basel, Switzerland) [Molecules] 2021 Feb 03; Vol. 26 (4). Date of Electronic Publication: 2021 Feb 03.
Typ publikacji :
Journal Article
MeSH Terms :
Gene Expression Profiling*
Humic Substances*
Arabidopsis/*metabolism
Arabidopsis Proteins/*biosynthesis
Gene Expression Regulation, Plant/*drug effects
Salt Stress/*drug effects
Arabidopsis/genetics ; Arabidopsis Proteins/genetics ; Transcriptome/drug effects
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Identification of Myocardial Infarction-Associated Genes Using Integrative microRNA-Gene Expression Network Analysis.
Autorzy :
Wang L; Department of Cardiology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yuan W; Department of Cardiology, Jiangsu Taizhou People's Hospital, Taizhou, China.
Huang J; Department of Cardiology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Źródło :
DNA and cell biology [DNA Cell Biol] 2021 Feb; Vol. 40 (2), pp. 348-358. Date of Electronic Publication: 2020 Dec 31.
Typ publikacji :
Journal Article
MeSH Terms :
Gene Expression Profiling*
Gene Regulatory Networks*
MicroRNAs/*genetics
Myocardial Infarction/*genetics
Animals ; Cell Line ; Male ; Mice ; Myocardial Infarction/metabolism ; Protein Interaction Maps ; Rats
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Time-course transcriptome analysis of lungs from mice exposed to ricin by intratracheal inoculation.
Autorzy :
Jiao Z; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
Li S; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
Su D; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
Gan C; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
Zhao X; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
Gao B; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
Qiu Y; Laboratory Animal Center, Academy of Military Medical Science, Beijing, 100071, China.
Song Y; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
Zhou D; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
Hu L; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China. Electronic address: .
Yang H; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China. Electronic address: .
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Źródło :
Toxicology letters [Toxicol Lett] 2021 Feb 01; Vol. 337, pp. 57-67. Date of Electronic Publication: 2020 Nov 21.
Typ publikacji :
Journal Article
MeSH Terms :
Biological Warfare Agents*
Gene Expression Profiling*
Lung Diseases/*chemically induced
Ricin/*administration & dosage
Ricin/*toxicity
Acute-Phase Reaction/chemically induced ; Acute-Phase Reaction/pathology ; Animals ; Bronchoalveolar Lavage Fluid ; Cytokines/metabolism ; Endoplasmic Reticulum Stress/drug effects ; Endoplasmic Reticulum Stress/genetics ; Female ; Gene Expression/drug effects ; Genome-Wide Association Study ; Inflammation/chemically induced ; Inflammation/pathology ; Intubation, Intratracheal ; Lung/pathology ; Lung Diseases/genetics ; Lung Diseases/pathology ; Mice ; Mice, Inbred C57BL
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
MicroRNA and protein-coding gene expression analysis in idiopathic pulmonary fibrosis yields novel biomarker signatures associated to survival.
Autorzy :
Casanova NG; Department of Medicine, University of Arizona Health Sciences, Tucson, Arizona.
Zhou T; Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, Nevada.
Gonzalez-Garay ML; Department of Medicine, University of Arizona Health Sciences, Tucson, Arizona.
Lussier YA; Center for Biomedical Informatics and Biostatistics, University of Arizona, Tucson, Arizona.
Sweiss N; Section of Rheumatology Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Ma SF; Section of Pulmonary/Critical Care, Department of Medicine, University of Chicago, Chicago, Illinois.
Noth I; Division of Pulmonary and Critical Care Department of Medicine, University of Virginia, Charlottesville, Virginia.
Knox KS; Department of Medicine, College of Medicine-Phoenix, University of Arizona Health Sciences, Phoenix, Arizona.
Garcia JGN; Department of Medicine, University of Arizona Health Sciences, Tucson, Arizona. Electronic address: .
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Źródło :
Translational research : the journal of laboratory and clinical medicine [Transl Res] 2021 Feb; Vol. 228, pp. 1-12. Date of Electronic Publication: 2020 Jul 22.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms :
Gene Expression Profiling*
Idiopathic Pulmonary Fibrosis/*genetics
MicroRNAs/*genetics
Proteins/*genetics
Aged ; Biomarkers/metabolism ; Case-Control Studies ; Female ; Humans ; Leukocytes, Mononuclear/metabolism ; Male ; Middle Aged ; Prognosis ; Reproducibility of Results ; Survival Analysis
Czasopismo naukowe
Szczegóły
Podgląd okładki
Tytuł :
Multiomics and Machine Learning Accurately Predict Clinical Response to Adalimumab and Etanercept Therapy in Patients With Rheumatoid Arthritis.
Autorzy :
Tao W; University Medical Center Utrecht and Utrecht University, The Netherlands.
Concepcion AN; University Medical Center Utrecht and Utrecht University, The Netherlands.
Vianen M; University Medical Center Utrecht and Utrecht University, The Netherlands.
Marijnissen ACA; University Medical Center Utrecht and Utrecht University, The Netherlands.
Lafeber FPGJ; University Medical Center Utrecht and Utrecht University, The Netherlands.
Radstake TRDJ; University Medical Center Utrecht and Utrecht University, The Netherlands.
Pandit A; University Medical Center Utrecht and Utrecht University, The Netherlands.
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Źródło :
Arthritis & rheumatology (Hoboken, N.J.) [Arthritis Rheumatol] 2021 Feb; Vol. 73 (2), pp. 212-222. Date of Electronic Publication: 2020 Dec 26.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
DNA Methylation*
Gene Expression Profiling*
Adalimumab/*therapeutic use
Arthritis, Rheumatoid/*drug therapy
Etanercept/*therapeutic use
Tumor Necrosis Factor Inhibitors/*therapeutic use
Adult ; Aged ; Arthritis, Rheumatoid/genetics ; Arthritis, Rheumatoid/metabolism ; CD4-Positive T-Lymphocytes/metabolism ; Clinical Decision Rules ; Female ; Humans ; Leukocytes, Mononuclear/metabolism ; Machine Learning ; Male ; Middle Aged ; Monocytes/metabolism ; Sequence Analysis, RNA ; Transcriptome ; Treatment Outcome
Czasopismo naukowe
Szczegóły
Wyświetlanie 1-20 z 161742

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