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Tytuł:
Validation of RNA Extraction Methods and Suitable Reference Genes for Gene Expression Studies in Developing Fetal Human Inner Ear Tissue.
Autorzy:
Steinacher C; Department of Otorhinolaryngology, Medical University Innsbruck, 6020 Innsbruck, Austria.
Rieder D; Institute of Bioinformatics, Medical University Innsbruck, 6020 Innsbruck, Austria.
Turner JE; Biosciences Institute, Newcastle University, Newcastle upon Tyne NE1 4EP, UK.
Solanky N; UCL Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK.
Nishio SY; Department of Hearing Implant Sciences, Shinshu University School of Medicine, Matsumoto 3-1-1 Asahi, Nagano 390-8621, Japan.
Usami SI; Department of Hearing Implant Sciences, Shinshu University School of Medicine, Matsumoto 3-1-1 Asahi, Nagano 390-8621, Japan.
Hausott B; Institute of Neuroanatomy, Medical University Innsbruck, 6020 Innsbruck, Austria.
Schrott-Fischer A; Department of Otorhinolaryngology, Medical University Innsbruck, 6020 Innsbruck, Austria.
Dudas J; Department of Otorhinolaryngology, Medical University Innsbruck, 6020 Innsbruck, Austria.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Mar 02; Vol. 25 (5). Date of Electronic Publication: 2024 Mar 02.
Typ publikacji:
Journal Article
MeSH Terms:
RNA*
Gene Expression Profiling*/methods
Humans ; Glyceraldehyde-3-Phosphate Dehydrogenases/genetics ; Gene Expression ; Real-Time Polymerase Chain Reaction
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Mapping Interindividual Variability of Toxicodynamics Using High-Throughput Transcriptomics and Primary Human Hepatocytes from Fifty Donors.
Autorzy:
Niemeijer M; Division of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
Więcek W; Simcyp Division, CERTARA, Sheffield, UK.
Fu S; Simcyp Division, CERTARA, Sheffield, UK.
Huppelschoten S; Division of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
Bouwman P; Division of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
Baze A; KaLy-Cell, Plobsheim, France.
Parmentier C; KaLy-Cell, Plobsheim, France.
Richert L; KaLy-Cell, Plobsheim, France.; Zylan, Obernai, France.
Paules RS; Division of the National Toxicology Program, NIEHS, NIH, Research Triangle Park, North Carolina, USA.
Bois FY; Simcyp Division, CERTARA, Sheffield, UK.
van de Water B; Division of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
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Źródło:
Environmental health perspectives [Environ Health Perspect] 2024 Mar; Vol. 132 (3), pp. 37005. Date of Electronic Publication: 2024 Mar 18.
Typ publikacji:
Journal Article
MeSH Terms:
Hepatocytes*
Gene Expression Profiling*
Humans ; Transcriptome ; Oxidative Stress
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
STGIC: A graph and image convolution-based method for spatial transcriptomic clustering.
Autorzy:
Zhang C; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Gao J; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Chen HY; College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Kong L; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Cao G; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang.
Guo X; Smart-Health Initiative, King Abdullah University of Science and Technology, Jeddah, Saudi Arabia.
Liu W; Marine Science and Technology College, Zhejiang Ocean University, Zhoushan, China.
Ren B; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Wei DQ; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2024 Feb 28; Vol. 20 (2), pp. e1011935. Date of Electronic Publication: 2024 Feb 28 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*
Transcriptome*/genetics
Humans ; Benchmarking ; Cluster Analysis ; Entropy
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Transcriptome Analysis of Compensatory Growth and Meat Quality Alteration after Varied Restricted Feeding Conditions in Beef Cattle.
Autorzy:
Deng T; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.; Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Liang M; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Du L; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Li K; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Li J; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Qian L; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Xue Q; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Qiu S; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Xu L; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Zhang L; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Gao X; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Li J; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Lan X; Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Gao H; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Feb 26; Vol. 25 (5). Date of Electronic Publication: 2024 Feb 26.
Typ publikacji:
Journal Article
MeSH Terms:
Food Deprivation*/physiology
Gene Expression Profiling*
Cattle ; Animals ; Meat ; Cooking ; Body Composition/physiology ; Muscle, Skeletal/physiology ; Transcriptome
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
New generative methods for single-cell transcriptome data in bulk RNA sequence deconvolution.
Autorzy:
Nishikawa T; Faculty of Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama, 641-8509, Japan. .
Lee M; Faculty of Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama, 641-8509, Japan.
Amau M; Faculty of Medicine, Kyoto University, Kyoto, Japan.
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 20; Vol. 14 (1), pp. 4156. Date of Electronic Publication: 2024 Feb 20.
Typ publikacji:
Journal Article
MeSH Terms:
Transcriptome*
Gene Expression Profiling*/methods
Humans ; Base Sequence ; Sequence Analysis, RNA ; Single-Cell Analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Selection and Validation of Reference Genes for Gene Expression in Bactericera gobica Loginova under Different Insecticide Stresses.
Autorzy:
Wei H; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Zhang J; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Yang M; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Li Y; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Guo K; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Qiao H; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Xu R; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Liu S; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Xu C; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Feb 19; Vol. 25 (4). Date of Electronic Publication: 2024 Feb 19.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*/methods
Insecticides*/pharmacology
Neonicotinoids*
Nitro Compounds*
Male ; Female ; Humans ; Actins ; Real-Time Polymerase Chain Reaction/methods ; Transcriptome ; Reference Standards
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
The impact of Bayesian optimization on feature selection.
Autorzy:
Yang K; Department of Health Statistics, School of Public Health, Shanxi Medical University, No 56 Xinjian South Road, Yingze District, Taiyuan, Shanxi, China.
Liu L; Department of Health Statistics, School of Public Health, Shanxi Medical University, No 56 Xinjian South Road, Yingze District, Taiyuan, Shanxi, China. .
Wen Y; Department of Statistics, University of Auckland, 38 Princes Street, Auckland Central, Auckland, 1010, New Zealand. .
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 17; Vol. 14 (1), pp. 3948. Date of Electronic Publication: 2024 Feb 17.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*
Neuroimaging*
Bayes Theorem ; Computer Simulation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Chemical and Transcriptomic Analyses of Leaf Cuticular Wax Metabolism in Ammopiptanthus mongolicus under Osmotic Stress.
Autorzy:
Sumbur B; Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; Key Laboratory of Ecology and Environment in Minority Areas, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Zhou M; Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; Key Laboratory of Ecology and Environment in Minority Areas, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Dorjee T; Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; Key Laboratory of Ecology and Environment in Minority Areas, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Bing J; College of Life Sciences, Beijing Normal University, Beijing 100080, China.
Ha S; Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; Key Laboratory of Ecology and Environment in Minority Areas, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Xu X; Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; Key Laboratory of Ecology and Environment in Minority Areas, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Zhou Y; Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; Key Laboratory of Ecology and Environment in Minority Areas, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Gao F; Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; Key Laboratory of Ecology and Environment in Minority Areas, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.; College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
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Źródło:
Biomolecules [Biomolecules] 2024 Feb 16; Vol. 14 (2). Date of Electronic Publication: 2024 Feb 16.
Typ publikacji:
Journal Article
MeSH Terms:
Plant Leaves*/chemistry
Gene Expression Profiling*
Osmotic Pressure ; Water/metabolism ; Alkanes ; Gene Expression Regulation, Plant
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
cnnImpute: missing value recovery for single cell RNA sequencing data.
Autorzy:
Zhang W; MidSouth Bioinformatics Center and Joint Bioinformatics Graduate Program, University of Arkansas at Little Rock, University of Arkansas for Medical Sciences, Little Rock, 72204, AR, USA.; Department of Information Science, University of Arkansas at Little Rock, Little Rock, 72204, AR, USA.
Huckaby B; Department of Computer Science, University of Arkansas at Little Rock, Little Rock, 72204, AR, USA.
Talburt J; Department of Information Science, University of Arkansas at Little Rock, Little Rock, 72204, AR, USA.
Weissman S; Department of Genetics, Yale School of Medicine, New Haven, 06520, CT, USA.
Yang MQ; MidSouth Bioinformatics Center and Joint Bioinformatics Graduate Program, University of Arkansas at Little Rock, University of Arkansas for Medical Sciences, Little Rock, 72204, AR, USA. .; Department of Information Science, University of Arkansas at Little Rock, Little Rock, 72204, AR, USA. .
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 16; Vol. 14 (1), pp. 3946. Date of Electronic Publication: 2024 Feb 16.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*/methods
Single-Cell Analysis*/methods
Sequence Analysis, RNA/methods ; Exome Sequencing ; Probability ; Cluster Analysis ; RNA
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Phenotypic divergence between broiler and layer chicken lines is regulated at the molecular level during development.
Autorzy:
Contriciani RE; Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
Grade CVC; Instituto Latino-Americano de Ciências da Vida e da Natureza, Universidade Federal da Integração Latino-Americana (UNILA), Foz do Iguaçu, Brazil.
Buzzatto-Leite I; Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
da Veiga FC; Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil.
Ledur MC; Embrapa Suínos e Aves, Concórdia, Santa Catarina, Brazil.
Reverter A; Commonwealth Scientific and Industrial Research Organisation (CSIRO), Agriculture and Food, Brisbane, QLD, Australia.
Alexandre PA; Commonwealth Scientific and Industrial Research Organisation (CSIRO), Agriculture and Food, Brisbane, QLD, Australia.
Cesar ASM; Department of Agri-Food Industry, Food and Nutrition, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil.
Coutinho LL; Department of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (USP), Piracicaba, Brazil. .
Alvares LE; Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil. .
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Źródło:
BMC genomics [BMC Genomics] 2024 Feb 12; Vol. 25 (1), pp. 168. Date of Electronic Publication: 2024 Feb 12.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*
Chickens*/genetics
Animals ; Female ; Computational Biology ; Transcriptome ; Cell Differentiation/genetics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
vissE: a versatile tool to identify and visualise higher-order molecular phenotypes from functional enrichment analysis.
Autorzy:
Bhuva DD; Division of Bioinformatics, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, 3052, Australia. .; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, 3010, Australia. .; South Australian immunoGENomics Cancer Institute (SAiGENCI), Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia. .
Tan CW; Division of Bioinformatics, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, 3052, Australia.; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.; Fraser Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4102, Australia.
Liu N; Division of Bioinformatics, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, 3052, Australia.; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.; South Australian immunoGENomics Cancer Institute (SAiGENCI), Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia.
Whitfield HJ; Division of Bioinformatics, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, 3052, Australia.; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.; Wellcome Sanger Institute, Hinxton, UK.
Papachristos N; Division of Bioinformatics, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, 3052, Australia.; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.
Lee SC; Division of Bioinformatics, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, 3052, Australia.; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.
Kharbanda M; Division of Bioinformatics, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, 3052, Australia.; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.; South Australian immunoGENomics Cancer Institute (SAiGENCI), Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia.
Mohamed A; Division of Bioinformatics, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, 3052, Australia.; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.; Colonial Foundation Healthy Ageing Centre, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, 3052, Australia.
Davis MJ; Division of Bioinformatics, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, 3052, Australia.; Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.; South Australian immunoGENomics Cancer Institute (SAiGENCI), Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia.; Fraser Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, 4102, Australia.; Department of Clinical Pathology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2024 Feb 08; Vol. 25 (1), pp. 64. Date of Electronic Publication: 2024 Feb 08.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*
Breast Neoplasms*/genetics
Breast Neoplasms*/pathology
Humans ; Female ; Transcriptome ; Phenotype
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Transcriptomic and Metabolic Profiling Reveal the Mechanism of Ovule Development in Castanea mollissima .
Autorzy:
Cui Y; College of Forestry, Beijing Forestry University, Beijing 100083, China.; State Key Laboratory of Efficient Production of Forest Resources, Beijing 100083, China.
Ji X; College of Forestry, Beijing Forestry University, Beijing 100083, China.; State Key Laboratory of Efficient Production of Forest Resources, Beijing 100083, China.
Zhang Y; College of Forestry, Beijing Forestry University, Beijing 100083, China.; State Key Laboratory of Efficient Production of Forest Resources, Beijing 100083, China.
Liu Y; Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, College of Plant Science and Technology, Beijing University of Agriculture, Beijing 102206, China.
Bai Q; College of Forestry, Beijing Forestry University, Beijing 100083, China.; State Key Laboratory of Efficient Production of Forest Resources, Beijing 100083, China.
Su S; College of Forestry, Beijing Forestry University, Beijing 100083, China.; State Key Laboratory of Efficient Production of Forest Resources, Beijing 100083, China.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Feb 06; Vol. 25 (4). Date of Electronic Publication: 2024 Feb 06.
Typ publikacji:
Journal Article
MeSH Terms:
Ovule*/metabolism
Gene Expression Profiling*
Ethylenes/metabolism ; Hormones/metabolism ; Sucrose/metabolism ; Gene Expression Regulation, Plant
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Transcriptome Analysis in Mexican Adults with Acute Lymphoblastic Leukemia.
Autorzy:
Cruz-Miranda GM; Programa de Doctorado, Posgrado en Ciencias Biológicas, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.; Laboratorio de Innovación en Medicina de Precisión Núcleo A, Instituto Nacional de Medicina Genómica, Mexico City 14610, Mexico.
Olarte-Carrillo I; Laboratorio de Biología Molecular, Servicio de Hematología, Hospital General de México Dr. Eduardo Liceaga, Mexico City 06720, Mexico.
Bárcenas-López DA; Programa de Doctorado, Posgrado en Ciencias Biológicas, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.; Laboratorio de Innovación en Medicina de Precisión Núcleo A, Instituto Nacional de Medicina Genómica, Mexico City 14610, Mexico.
Martínez-Tovar A; Laboratorio de Biología Molecular, Servicio de Hematología, Hospital General de México Dr. Eduardo Liceaga, Mexico City 06720, Mexico.
Ramírez-Bello J; Subdirección de Investigación Clínica, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico.
Ramos-Peñafiel CO; Departamento de Hematología, Hospital General de México Dr. Eduardo Liceaga, Mexico City 06720, Mexico.
García-Laguna AI; Laboratorio de Biología Molecular, Servicio de Hematología, Hospital General de México Dr. Eduardo Liceaga, Mexico City 06720, Mexico.
Cerón-Maldonado R; Programa de Doctorado, Posgrado en Ciencias Biológicas, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.; Laboratorio de Biología Molecular, Servicio de Hematología, Hospital General de México Dr. Eduardo Liceaga, Mexico City 06720, Mexico.
May-Hau D; Laboratorio de Innovación en Medicina de Precisión Núcleo A, Instituto Nacional de Medicina Genómica, Mexico City 14610, Mexico.
Jiménez-Morales S; Laboratorio de Innovación en Medicina de Precisión Núcleo A, Instituto Nacional de Medicina Genómica, Mexico City 14610, Mexico.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Feb 01; Vol. 25 (3). Date of Electronic Publication: 2024 Feb 01.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*
Precursor Cell Lymphoblastic Leukemia-Lymphoma*/genetics
Humans ; Transcriptome ; Biomarkers ; Recurrence ; Computational Biology ; SOXC Transcription Factors
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
BNIPL is a promising biomarker of laryngeal cancer: novel insights from bioinformatics analysis and experimental validation.
Autorzy:
Wang R; Department of Otolaryngology Head and Neck Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan City, Shanxi Province, 030032, China.; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, 430030, China.
Gao Y; Department of Otolaryngology Head and Neck Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan City, Shanxi Province, 030032, China.; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, 430030, China.
Wen S; Department of Otolaryngology Head and Neck Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan City, Shanxi Province, 030032, China. .; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, 430030, China. .
Guo X; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei Province, 430030, China.; Department of Head Neck and Breast Oncology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, 030032, China.
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Źródło:
BMC medical genomics [BMC Med Genomics] 2024 Feb 01; Vol. 17 (1), pp. 45. Date of Electronic Publication: 2024 Feb 01.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*
Laryngeal Neoplasms*/genetics
Humans ; Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; Protein Interaction Maps/genetics ; Computational Biology ; Adaptor Proteins, Signal Transducing/genetics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
SRT-Server: powering the analysis of spatial transcriptomic data.
Autorzy:
Yang S; Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China. .
Zhou X; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA. .; Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, 48109, USA. .
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Źródło:
Genome medicine [Genome Med] 2024 Jan 26; Vol. 16 (1), pp. 18. Date of Electronic Publication: 2024 Jan 26.
Typ publikacji:
Journal Article
MeSH Terms:
User-Computer Interface*
Gene Expression Profiling*
Humans ; Transcriptome ; Software
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Genome-Wide and Expression Pattern Analysis of the DVL Gene Family Reveals GhM_A05G1032 Is Involved in Fuzz Development in G. hirsutum .
Autorzy:
Jiao Y; Cotton Research Institute, Xinjiang Academy of Agriculture and Reclamation Science, Shihezi 832000, China.; College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
Zhao F; Cotton Research Institute, Xinjiang Academy of Agriculture and Reclamation Science, Shihezi 832000, China.
Geng S; College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
Li S; College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
Su Z; College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
Chen Q; College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
Yu Y; Cotton Research Institute, Xinjiang Academy of Agriculture and Reclamation Science, Shihezi 832000, China.
Qu Y; College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Jan 22; Vol. 25 (2). Date of Electronic Publication: 2024 Jan 22.
Typ publikacji:
Journal Article
MeSH Terms:
Genome, Plant*
Gene Expression Profiling*
Phylogeny ; Plant Proteins/genetics ; Plant Proteins/metabolism ; Multigene Family ; Gossypium/genetics ; Gossypium/metabolism ; Gene Expression Regulation, Plant
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Reaping the benefits of liquid handlers for high-throughput gene expression profiling in a marine model invertebrate.
Autorzy:
Annona G; Research Infrastructures for Marine Biological Resources (RIMAR), Stazione Zoologica Anton Dohrn, Naples, Italy. .
Liberti A; Biology and Evolution of Marine Organisms (BEOM), Stazione Zoologica Anton Dohrn, Naples, Italy. .
Pollastro C; Biology and Evolution of Marine Organisms (BEOM), Stazione Zoologica Anton Dohrn, Naples, Italy.; TIGEM - Telethon Institute of Genetics and Medicine, 80078, Naples, Italy.
Spagnuolo A; Biology and Evolution of Marine Organisms (BEOM), Stazione Zoologica Anton Dohrn, Naples, Italy.
Sordino P; Biology and Evolution of Marine Organisms (BEOM), Stazione Zoologica Anton Dohrn, Sicily Marine Centre, Messina, Italy.
De Luca P; Research Infrastructures for Marine Biological Resources (RIMAR), Stazione Zoologica Anton Dohrn, Naples, Italy.
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Źródło:
BMC biotechnology [BMC Biotechnol] 2024 Jan 19; Vol. 24 (1), pp. 4. Date of Electronic Publication: 2024 Jan 19.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Gene Expression Profiling*
Specimen Handling*/methods
Automation ; Real-Time Polymerase Chain Reaction ; Microarray Analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.
Autorzy:
Grujčić V; Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
Saarenpää S; Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Sundh J; Science for Life Laboratory, Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Stockholm University, Solna, Sweden.
Sennblad B; Science for Life Laboratory, Dept of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Uppsala University, Uppsala, Sweden.
Norgren B; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
Latz M; Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Giacomello S; Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Foster RA; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
Andersson AF; Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
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Źródło:
PloS one [PLoS One] 2024 Jan 19; Vol. 19 (1), pp. e0296672. Date of Electronic Publication: 2024 Jan 19 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Plankton*/genetics
Gene Expression Profiling*/methods
Animals ; Transcriptome ; Eukaryota ; RNA ; Mammals
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Comparative physiological and transcriptome analysis between potassium-deficiency tolerant and sensitive sweetpotato genotypes in response to potassium-deficiency stress.
Autorzy:
Jin R; Xuzhou Sweetpotato Research Center, Xuzhou Institute of Agricultural Sciences, Xuzhou, Jiangsu, China.; Key Laboratory of Sweetpotato Biology and Genetic Breeding, Ministry of Agriculture, National Agricultural Experimental Station for Soil Quality, Xuzhou, Jiangsu, China.; Jiangsu Key Laboratory of Phylogenomics and Comparative Genomics, School of Life Sciences, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China.; sishui lifeng food products Co., Ltd, Jining, China.
Yan M; Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China.
Li G; sishui lifeng food products Co., Ltd, Jining, China.
Liu M; Xuzhou Sweetpotato Research Center, Xuzhou Institute of Agricultural Sciences, Xuzhou, Jiangsu, China.; Key Laboratory of Sweetpotato Biology and Genetic Breeding, Ministry of Agriculture, National Agricultural Experimental Station for Soil Quality, Xuzhou, Jiangsu, China.
Zhao P; Xuzhou Sweetpotato Research Center, Xuzhou Institute of Agricultural Sciences, Xuzhou, Jiangsu, China.; Key Laboratory of Sweetpotato Biology and Genetic Breeding, Ministry of Agriculture, National Agricultural Experimental Station for Soil Quality, Xuzhou, Jiangsu, China.
Zhang Z; Sishui County Agriculture and Rural Bureau, Jining, China.
Zhang Q; Xuzhou Sweetpotato Research Center, Xuzhou Institute of Agricultural Sciences, Xuzhou, Jiangsu, China.
Zhu X; Xuzhou Sweetpotato Research Center, Xuzhou Institute of Agricultural Sciences, Xuzhou, Jiangsu, China.; Key Laboratory of Sweetpotato Biology and Genetic Breeding, Ministry of Agriculture, National Agricultural Experimental Station for Soil Quality, Xuzhou, Jiangsu, China.
Wang J; Xuzhou Sweetpotato Research Center, Xuzhou Institute of Agricultural Sciences, Xuzhou, Jiangsu, China.; Key Laboratory of Sweetpotato Biology and Genetic Breeding, Ministry of Agriculture, National Agricultural Experimental Station for Soil Quality, Xuzhou, Jiangsu, China.
Yu Y; Xuzhou Sweetpotato Research Center, Xuzhou Institute of Agricultural Sciences, Xuzhou, Jiangsu, China.; Key Laboratory of Sweetpotato Biology and Genetic Breeding, Ministry of Agriculture, National Agricultural Experimental Station for Soil Quality, Xuzhou, Jiangsu, China.
Zhang A; Xuzhou Sweetpotato Research Center, Xuzhou Institute of Agricultural Sciences, Xuzhou, Jiangsu, China.; Key Laboratory of Sweetpotato Biology and Genetic Breeding, Ministry of Agriculture, National Agricultural Experimental Station for Soil Quality, Xuzhou, Jiangsu, China.
Yang J; Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China.
Tang Z; Xuzhou Sweetpotato Research Center, Xuzhou Institute of Agricultural Sciences, Xuzhou, Jiangsu, China. .; Key Laboratory of Sweetpotato Biology and Genetic Breeding, Ministry of Agriculture, National Agricultural Experimental Station for Soil Quality, Xuzhou, Jiangsu, China. .
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Źródło:
BMC genomics [BMC Genomics] 2024 Jan 15; Vol. 25 (1), pp. 61. Date of Electronic Publication: 2024 Jan 15.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Regulation, Plant*
Gene Expression Profiling*
Genotype ; Potassium/metabolism ; Photosynthesis/genetics ; Transcriptome ; Stress, Physiological/genetics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Unsupervised spatially embedded deep representation of spatial transcriptomics.
Autorzy:
Xu H; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore.
Fu H; Institute of High-Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore, 138632, Singapore.
Long Y; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore.
Ang KS; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore.
Sethi R; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore.
Chong K; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore.
Li M; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore.
Uddamvathanak R; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore.
Lee HK; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore.
Ling J; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore.
Chen A; BGI Research-Southwest, BGI, Chongqing, 401329, China.; JFL-BGI STOmics Center, Jinfeng Laboratory, Chongqing, 401329, China.
Shao L; UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, Beijing, China.
Liu L; BGI-ShenZhen, Shenzhen, 518103, China.
Chen J; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore. chen_.; Immunology Translational Research Program, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), 5 Science Drive 2, BlkMD4, Level 3, Singapore, 117545, Singapore. chen_.
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Źródło:
Genome medicine [Genome Med] 2024 Jan 12; Vol. 16 (1), pp. 12. Date of Electronic Publication: 2024 Jan 12.
Typ publikacji:
Journal Article
MeSH Terms:
Gene Expression Profiling*
Cell Communication*
Humans ; Cluster Analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
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