Suchergebnisse - "Gene Expression Profiling [MeSH]"
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1
Autoren: et al.
Quelle: mBio. 16(10)
Schlagwörter: 3107 Microbiology (for-2020), 31 Biological Sciences (for-2020), Nutrition (rcdc), Genetics (rcdc), 1.1 Normal biological development and functioning (hrcs-rac), Phosphates (mesh), Gene Expression Regulation, Fungal (mesh), Neurospora crassa (mesh), Fungal Proteins (mesh), Transcription Factors (mesh), Gene Expression Profiling (mesh), phosphate starvation response, Neurospora, filamentous fungi, transcriptional profiling, DNA affinity purification sequencing, transcription factor regulatory network, Neurospora crassa (mesh), Phosphates (mesh), Fungal Proteins (mesh), Transcription Factors (mesh), Gene Expression Profiling (mesh), Gene Expression Regulation, Fungal (mesh), DNA affinity purification sequencing, Neurospora, filamentous fungi, phosphate starvation response, transcription factor regulatory network, transcriptional profiling, Phosphates (mesh), Gene Expression Regulation, Fungal (mesh), Neurospora crassa (mesh), Fungal Proteins (mesh), Transcription Factors (mesh), Gene Expression Profiling (mesh), 0605 Microbiology (for), 3101 Biochemistry and cell biology (for-2020), 3107 Microbiology (for-2020), 3207 Medical microbiology (for-2020)
Dateibeschreibung: application/pdf
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2
Autoren: et al.
Quelle: Neuron. 113(15)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3209 Neurosciences (for-2020), Neurosciences (rcdc), Human Genome (rcdc), Genetics (rcdc), Huntington's Disease (rcdc), Biotechnology (rcdc), Brain Disorders (rcdc), Rare Diseases (rcdc), Neurodegenerative (rcdc), 2.1 Biological and endogenous factors (hrcs-rac), 1.1 Normal biological development and functioning (hrcs-rac), Neurological (hrcs-hc), Animals (mesh), Mice (mesh), Huntington Disease (mesh), Transcriptome (mesh), Brain (mesh), Mice, Transgenic (mesh), Corpus Striatum (mesh), Male (mesh), Receptors, Dopamine D2 (mesh), Disease Models, Animal (mesh), Gene Expression Profiling (mesh), Brain (mesh), Corpus Striatum (mesh), Animals (mesh), Mice, Transgenic (mesh), Mice (mesh), Huntington Disease (mesh), Disease Models, Animal (mesh), Receptors, Dopamine D2 (mesh), Gene Expression Profiling (mesh), Male (mesh), Transcriptome (mesh), Huntington’s disease, R62 transgenic, cell-cell signaling, metabolism, neuropeptide Y, protein kinase A, snRNA-seq, spatial transcriptomics, transcription factor 4, transcriptional dysregulation, Animals (mesh), Mice (mesh), Huntington Disease (mesh), Transcriptome (mesh), Brain (mesh), Mice, Transgenic (mesh), Corpus Striatum (mesh), Male (mesh), Receptors, Dopamine D2 (mesh), Disease Models, Animal (mesh), Gene Expression Profiling (mesh), 1109 Neurosciences (for), 1701 Psychology (for), 1702 Cognitive Sciences (for), Neurology & Neurosurgery (science-metrix), 3209 Neurosciences (for-2020), 5202 Biological psychology (for-2020)
Zugangs-URL: https://escholarship.org/uc/item/9ds7r658
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3
Autoren: et al.
Quelle: The Plant Journal. 123(2)
Schlagwörter: 3107 Microbiology (for-2020), 3108 Plant Biology (for-2020), 31 Biological Sciences (for-2020), 3103 Ecology (for-2020), Genetics (rcdc), Biotechnology (rcdc), Mycorrhizae (mesh), Populus (mesh), Symbiosis (mesh), Transcriptome (mesh), Gene Expression Regulation, Plant (mesh), Gene Expression Profiling (mesh), Plant Proteins (mesh), ectomycorrhiza, mycorrhizal compatibility, poplar, comparative transcriptomics, plant immunity, secretome, CAZymes, small secreted proteins, effectors, common symbiosis pathway, Mycorrhizae (mesh), Populus (mesh), Plant Proteins (mesh), Gene Expression Profiling (mesh), Symbiosis (mesh), Gene Expression Regulation, Plant (mesh), Transcriptome (mesh), CAZymes, common symbiosis pathway, comparative transcriptomics, ectomycorrhiza, effectors, mycorrhizal compatibility, plant immunity, poplar, secretome, small secreted proteins, Mycorrhizae (mesh), Populus (mesh), Symbiosis (mesh), Transcriptome (mesh), Gene Expression Regulation, Plant (mesh), Gene Expression Profiling (mesh), Plant Proteins (mesh), 0601 Biochemistry and Cell Biology (for), 0607 Plant Biology (for), Plant Biology & Botany (science-metrix), 3101 Biochemistry and cell biology (for-2020), 3108 Plant biology (for-2020)
Dateibeschreibung: application/pdf
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4
Autoren: et al.
Quelle: The Plant Cell. 37(6)
Schlagwörter: 3108 Plant Biology (for-2020), 31 Biological Sciences (for-2020), Genetics (rcdc), Biotechnology (rcdc), Generic health relevance (hrcs-hc), Light (mesh), Circadian Rhythm (mesh), Chlamydomonas reinhardtii (mesh), Photosynthesis (mesh), Gene Expression Regulation, Plant (mesh), Transcriptome (mesh), Chlamydomonas (mesh), Proteomics (mesh), Acclimatization (mesh), Gene Expression Profiling (mesh), Chlamydomonas (mesh), Chlamydomonas reinhardtii (mesh), Gene Expression Profiling (mesh), Proteomics (mesh), Acclimatization (mesh), Photosynthesis (mesh), Gene Expression Regulation, Plant (mesh), Circadian Rhythm (mesh), Light (mesh), Transcriptome (mesh), Light (mesh), Circadian Rhythm (mesh), Chlamydomonas reinhardtii (mesh), Photosynthesis (mesh), Gene Expression Regulation, Plant (mesh), Transcriptome (mesh), Chlamydomonas (mesh), Proteomics (mesh), Acclimatization (mesh), Gene Expression Profiling (mesh), 0601 Biochemistry and Cell Biology (for), 0604 Genetics (for), 0607 Plant Biology (for), Plant Biology & Botany (science-metrix), 3108 Plant biology (for-2020)
Dateibeschreibung: application/pdf
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5
Autoren: et al.
Quelle: Cancer Letters. 620
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Cancer (rcdc), Precision Medicine (rcdc), Machine Learning and Artificial Intelligence (rcdc), Human Genome (rcdc), Cancer Genomics (rcdc), Genetics (rcdc), Cancer (hrcs-hc), 3 Good Health and Well Being (sdg), Humans (mesh), Single-Cell Analysis (mesh), Neoplasms (mesh), Gene Expression Profiling (mesh), Transcriptome (mesh), Tumor Microenvironment (mesh), Biomarkers, Tumor (mesh), RNA-Seq (mesh), Gene Expression Regulation, Neoplastic (mesh), Computational Biology (mesh), Ambient RNA, Transcriptomics, Tumor microenvironment, Doublets, DecontX, SoupX, Humans (mesh), Neoplasms (mesh), Gene Expression Profiling (mesh), Computational Biology (mesh), Gene Expression Regulation, Neoplastic (mesh), Single-Cell Analysis (mesh), Tumor Microenvironment (mesh), Transcriptome (mesh), Biomarkers, Tumor (mesh), RNA-Seq (mesh), Ambient RNA, DecontX, Doublets, SoupX, Transcriptomics, Tumor microenvironment, Humans (mesh), Single-Cell Analysis (mesh), Neoplasms (mesh), Gene Expression Profiling (mesh), Transcriptome (mesh), Tumor Microenvironment (mesh), Biomarkers, Tumor (mesh), RNA-Seq (mesh), Gene Expression Regulation, Neoplastic (mesh), Computational Biology (mesh), 1112 Oncology and Carcinogenesis (for), Oncology & Carcinogenesis (science-metrix), 3211 Oncology and carcinogenesis (for-2020)
Zugangs-URL: https://escholarship.org/uc/item/6bt3j9gh
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6
Autoren: et al.
Quelle: Fungal Genetics and Biology. 176
Schlagwörter: 3107 Microbiology (for-2020), 31 Biological Sciences (for-2020), Infectious Diseases (rcdc), Genetics (rcdc), Anaerobiosis (mesh), Neocallimastigomycota (mesh), Gene Expression Regulation, Fungal (mesh), Spores, Fungal (mesh), Transcription, Genetic (mesh), Life Cycle Stages (mesh), Gene Expression Profiling (mesh), Transcriptome (mesh), Biomass (mesh), Anaerobic fungi, Neocallimastigomycota, RNA-Seq, Differential expression, Spore, CAZyme, Spores, Fungal (mesh), Gene Expression Profiling (mesh), Biomass (mesh), Transcription, Genetic (mesh), Gene Expression Regulation, Fungal (mesh), Anaerobiosis (mesh), Life Cycle Stages (mesh), Neocallimastigomycota (mesh), Transcriptome (mesh), Anaerobic fungi, CAZyme, Differential expression, Neocallimastigomycota, RNA-Seq, Spore, Anaerobiosis (mesh), Neocallimastigomycota (mesh), Gene Expression Regulation, Fungal (mesh), Spores, Fungal (mesh), Transcription, Genetic (mesh), Life Cycle Stages (mesh), Gene Expression Profiling (mesh), Transcriptome (mesh), Biomass (mesh), 0604 Genetics (for), 0605 Microbiology (for), 0607 Plant Biology (for), Microbiology (science-metrix), 3105 Genetics (for-2020), 3107 Microbiology (for-2020), 3108 Plant biology (for-2020)
Dateibeschreibung: application/pdf
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7
Autoren: et al.
Quelle: Molecular Psychiatry. 30(2)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), Dementia (rcdc), Human Genome (rcdc), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) (rcdc), Neurodegenerative (rcdc), Alzheimer's Disease (rcdc), Genetics (rcdc), Neurosciences (rcdc), Aging (rcdc), Acquired Cognitive Impairment (rcdc), Brain Disorders (rcdc), 2.1 Biological and endogenous factors (hrcs-rac), 1.1 Normal biological development and functioning (hrcs-rac), Neurological (hrcs-hc), Animals (mesh), Alzheimer Disease (mesh), Receptors, Immunologic (mesh), Mice (mesh), Membrane Glycoproteins (mesh), Mice, Transgenic (mesh), Neurons (mesh), Transcriptome (mesh), Microglia (mesh), Brain (mesh), Disease Models, Animal (mesh), Plaque, Amyloid (mesh), Mutation (mesh), Astrocytes (mesh), Single-Cell Analysis (mesh), Humans (mesh), Mutation, Missense (mesh), Receptor, trkB (mesh), Brain-Derived Neurotrophic Factor (mesh), Gene Expression Profiling (mesh), Male (mesh), Brain (mesh), Astrocytes (mesh), Microglia (mesh), Neurons (mesh), Animals (mesh), Mice, Transgenic (mesh), Humans (mesh), Mice (mesh), Alzheimer Disease (mesh), Disease Models, Animal (mesh), Receptor, trkB (mesh), Brain-Derived Neurotrophic Factor (mesh), Membrane Glycoproteins (mesh), Receptors, Immunologic (mesh), Gene Expression Profiling (mesh), Mutation (mesh), Mutation, Missense (mesh), Male (mesh), Plaque, Amyloid (mesh), Single-Cell Analysis (mesh), Transcriptome (mesh), Animals (mesh), Alzheimer Disease (mesh), Receptors, Immunologic (mesh), Mice (mesh), Membrane Glycoproteins (mesh), Mice, Transgenic (mesh), Neurons (mesh), Transcriptome (mesh), Microglia (mesh), Brain (mesh), Disease Models, Animal (mesh), Plaque, Amyloid (mesh), Mutation (mesh), Astrocytes (mesh), Single-Cell Analysis (mesh), Humans (mesh), Mutation, Missense (mesh), Receptor, trkB (mesh), Brain-Derived Neurotrophic Factor (mesh), Gene Expression Profiling (mesh), Male (mesh), 06 Biological Sciences (for), 11 Medical and Health Sciences (for), 17 Psychology and Cognitive Sciences (for), Psychiatry (science-metrix), 3202 Clinical sciences (for-2020), 5202 Biological psychology (for-2020), 5203 Clinical and health psychology (for-2020)
Zugangs-URL: https://escholarship.org/uc/item/71v7f231
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8
Autoren: et al.
Quelle: Frontiers in Immunology. 16
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), 3204 Immunology (for-2020), Cancer Genomics (rcdc), Genetics (rcdc), Human Genome (rcdc), Immunotherapy (rcdc), Cancer (rcdc), Rare Diseases (rcdc), Biotechnology (rcdc), 5.1 Pharmaceuticals (hrcs-rac), Cancer (hrcs-hc), natural killer (NK) cells, cancer immunotherapy, single-cell RNA sequencing (scRNAseq), canine sarcoma infiltrating NK signature, tumor infiltrating NK cells, canine and human sarcomas, NK-targeting immunotherapy regimens, NK activation genes, Killer Cells, Natural (mesh), Lymphocytes, Tumor-Infiltrating (mesh), Animals (mesh), Dogs (mesh), Humans (mesh), Neoplasms (mesh), Sarcoma (mesh), Dog Diseases (mesh), Immunotherapy (mesh), Gene Expression Profiling (mesh), Transcriptome (mesh), Biomarkers, Tumor (mesh), NK activation genes, NK-targeting immunotherapy regimens, cancer immunotherapy, canine and human sarcomas, canine sarcoma infiltrating NK signature, natural killer (NK) cells, single-cell RNA sequencing (scRNAseq), tumor infiltrating NK cells, Dogs (mesh), Animals (mesh), Killer Cells, Natural (mesh), Humans (mesh), Biomarkers, Tumor (mesh), Gene Expression Profiling (mesh), Transcriptome (mesh), Immunotherapy (mesh), Lymphocytes, Tumor-Infiltrating (mesh), Sarcoma (mesh), Dog Diseases (mesh), Neoplasms (mesh), 1107 Immunology (for), 1108 Medical Microbiology (for), 3101 Biochemistry and cell biology (for-2020), 3105 Genetics (for-2020), 3204 Immunology (for-2020)
Dateibeschreibung: application/pdf
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9
Autoren: et al.
Quelle: Scientific Data. 12(1)
Schlagwörter: 31 Biological Sciences (for-2020), 40 Engineering (for-2020), 4003 Biomedical Engineering (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), Bioengineering (rcdc), Genetics (rcdc), Wound Healing and Care (rcdc), 1.1 Normal biological development and functioning (hrcs-rac), Skin (hrcs-hc), Animals (mesh), Wound Healing (mesh), Swine (mesh), Transcriptome (mesh), Image Processing, Computer-Assisted (mesh), Gene Expression Profiling (mesh), Animals (mesh), Swine (mesh), Gene Expression Profiling (mesh), Wound Healing (mesh), Image Processing, Computer-Assisted (mesh), Transcriptome (mesh), Animals (mesh), Wound Healing (mesh), Swine (mesh), Transcriptome (mesh), Image Processing, Computer-Assisted (mesh), Gene Expression Profiling (mesh)
Dateibeschreibung: application/pdf
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10
Autoren: et al.
Quelle: Genome Biology. 26(1)
Schlagwörter: 31 Biological Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), Human Genome (rcdc), Genetics (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Benchmarking (mesh), Computational Biology (mesh), Algorithms (mesh), Gene Expression Profiling (mesh), Humans (mesh), Transcriptome (mesh), Benchmarking, Spatially variable genes, Simulation, Spatial omics, Visium, MERFISH, Humans (mesh), Gene Expression Profiling (mesh), Computational Biology (mesh), Algorithms (mesh), Benchmarking (mesh), Transcriptome (mesh), Benchmarking, MERFISH, Simulation, Spatial omics, Spatially variable genes, Visium, Benchmarking (mesh), Computational Biology (mesh), Algorithms (mesh), Gene Expression Profiling (mesh), Humans (mesh), Transcriptome (mesh), 05 Environmental Sciences (for), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), Bioinformatics (science-metrix)
Zugangs-URL: https://escholarship.org/uc/item/16x872z6
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11
Autoren: et al.
Quelle: Frontiers in Immunology. 16
Schlagwörter: 31 Biological Sciences (for-2020), 32 Biomedical and Clinical Sciences (for-2020), 3105 Genetics (for-2020), Asthma (rcdc), Neurosciences (rcdc), Cancer (rcdc), Cancer Genomics (rcdc), Lung (rcdc), Human Genome (rcdc), Genetics (rcdc), 2.1 Biological and endogenous factors (hrcs-rac), 1.1 Normal biological development and functioning (hrcs-rac), Animals (mesh), Asthma (mesh), Lung (mesh), Mice (mesh), Transcriptome (mesh), Nodose Ganglion (mesh), Gene Expression Profiling (mesh), Allergens (mesh), Female (mesh), Alternaria (mesh), Disease Models, Animal (mesh), Sequence Analysis, RNA (mesh), Neuroimmunomodulation (mesh), RNA-Seq (mesh), vagus, asthma, Alternaria alternata, RNA sequencing, single-nucleus RNA sequencing, spatial RNA sequencing, transcriptomics, Lung (mesh), Nodose Ganglion (mesh), Animals (mesh), Mice (mesh), Alternaria (mesh), Asthma (mesh), Disease Models, Animal (mesh), Allergens (mesh), Gene Expression Profiling (mesh), Sequence Analysis, RNA (mesh), Neuroimmunomodulation (mesh), Female (mesh), Transcriptome (mesh), RNA-Seq (mesh), Alternaria alternata, RNA sequencing, asthma, single-nucleus RNA sequencing, spatial RNA sequencing, transcriptomics, vagus, Animals (mesh), Asthma (mesh), Lung (mesh), Mice (mesh), Transcriptome (mesh), Nodose Ganglion (mesh), Gene Expression Profiling (mesh), Allergens (mesh), Female (mesh), Alternaria (mesh), Disease Models, Animal (mesh), Sequence Analysis, RNA (mesh), Neuroimmunomodulation (mesh), RNA-Seq (mesh), 1107 Immunology (for), 1108 Medical Microbiology (for), 3101 Biochemistry and cell biology (for-2020), 3105 Genetics (for-2020), 3204 Immunology (for-2020)
Dateibeschreibung: application/pdf
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12
Autoren: et al.
Quelle: Scientific Reports. 15(1)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Women's Health (rcdc), Genetics (rcdc), Breast Cancer (rcdc), Estrogen (rcdc), Cancer (rcdc), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), 5.1 Pharmaceuticals (hrcs-rac), Cancer (hrcs-hc), 3 Good Health and Well Being (sdg), Humans (mesh), Breast Neoplasms (mesh), Female (mesh), Receptors, Estrogen (mesh), Drug Resistance, Neoplasm (mesh), Middle Aged (mesh), Gene Expression Regulation, Neoplastic (mesh), Antineoplastic Agents, Hormonal (mesh), Aged (mesh), Adult (mesh), Neoplasm Recurrence, Local (mesh), Enhancer of Zeste Homolog 2 Protein (mesh), Biomarkers, Tumor (mesh), Gene Expression Profiling (mesh), Humans (mesh), Breast Neoplasms (mesh), Neoplasm Recurrence, Local (mesh), Receptors, Estrogen (mesh), Antineoplastic Agents, Hormonal (mesh), Gene Expression Profiling (mesh), Gene Expression Regulation, Neoplastic (mesh), Drug Resistance, Neoplasm (mesh), Adult (mesh), Aged (mesh), Middle Aged (mesh), Female (mesh), Biomarkers, Tumor (mesh), Enhancer of Zeste Homolog 2 Protein (mesh), Humans (mesh), Breast Neoplasms (mesh), Female (mesh), Receptors, Estrogen (mesh), Drug Resistance, Neoplasm (mesh), Middle Aged (mesh), Gene Expression Regulation, Neoplastic (mesh), Antineoplastic Agents, Hormonal (mesh), Aged (mesh), Adult (mesh), Neoplasm Recurrence, Local (mesh), Enhancer of Zeste Homolog 2 Protein (mesh), Biomarkers, Tumor (mesh), Gene Expression Profiling (mesh)
Dateibeschreibung: application/pdf
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13
Autoren: et al.
Quelle: Acta Neuropathologica Communications. 13(1)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), 3204 Immunology (for-2020), Neurosciences (rcdc), Cancer (rcdc), Genetics (rcdc), 2.1 Biological and endogenous factors (hrcs-rac), Cancer (hrcs-hc), Animals (mesh), Melanoma, Experimental (mesh), Mice, Inbred C57BL (mesh), Brain Neoplasms (mesh), Mice (mesh), Gene Expression Profiling (mesh), Cell Line, Tumor (mesh), Transcriptome (mesh), Female (mesh), Disease Models, Animal (mesh), Epithelial-Mesenchymal Transition (mesh), Melanoma, B16-F0, Brain metastasis, Leptomeningeal disease, Epithelial to mesenchymal transition, Lipid rafts, Cell Line, Tumor (mesh), Animals (mesh), Mice, Inbred C57BL (mesh), Mice (mesh), Melanoma, Experimental (mesh), Brain Neoplasms (mesh), Disease Models, Animal (mesh), Gene Expression Profiling (mesh), Female (mesh), Epithelial-Mesenchymal Transition (mesh), Transcriptome (mesh), B16-F0, Brain metastasis, Epithelial to mesenchymal transition, Leptomeningeal disease, Lipid rafts, Melanoma, Animals (mesh), Melanoma, Experimental (mesh), Mice, Inbred C57BL (mesh), Brain Neoplasms (mesh), Mice (mesh), Gene Expression Profiling (mesh), Cell Line, Tumor (mesh), Transcriptome (mesh), Female (mesh), Disease Models, Animal (mesh), Epithelial-Mesenchymal Transition (mesh), 0601 Biochemistry and Cell Biology (for), 1103 Clinical Sciences (for), 1109 Neurosciences (for), 3101 Biochemistry and cell biology (for-2020), 3209 Neurosciences (for-2020)
Dateibeschreibung: application/pdf
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14
Autoren: et al.
Quelle: Molecular Carcinogenesis, vol 64, iss 9
Schlagwörter: Dogs (mesh), Biotechnology (rcdc), Mouth Neoplasms (mesh), head and neck squamous cell carcinoma, Rare Diseases (rcdc), transcriptomics, Animals (mesh), oral dysplasia, 3211 Oncology and carcinogenesis (for-2020), 32 Biomedical and Clinical Sciences (for-2020), 3101 Biochemistry and cell biology (for-2020), 3204 Immunology (for-2020), Dog Diseases (mesh), Cancer (rcdc), Neoplastic (mesh), Genetics (rcdc), Carcinoma, 2.1 Biological and endogenous factors (hrcs-rac), Cancer (hrcs-hc), Dental/Oral and Craniofacial Disease (rcdc), oral cancer, 1112 Oncology and Carcinogenesis (for), Transcriptome (mesh), Human Genome (rcdc), Tumor Microenvironment (mesh), Gene Expression Profiling (mesh), Squamous Cell (mesh), oral squamous cell carcinoma, 3211 Oncology and Carcinogenesis (for-2020), Gene Expression Regulation, Oncology & Carcinogenesis (science-metrix), Tumor (mesh), Epithelial-Mesenchymal Transition (mesh), Cancer Genomics (rcdc), Biomarkers, Digestive Diseases (rcdc)
Zugangs-URL: https://escholarship.org/uc/item/5db0929d
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15
Autoren: et al.
Quelle: Cancer Research, vol 85, iss 10
Schlagwörter: Lung Neoplasms, 3102 Bioinformatics and Computational Biology (for-2020), Biotechnology (rcdc), 3105 Genetics (for-2020), Lung (rcdc), Databases, Mice, Databases, Genetic, Animals (mesh), 3211 Oncology and carcinogenesis (for-2020), Animals, Humans, 32 Biomedical and Clinical Sciences (for-2020), 3101 Biochemistry and cell biology (for-2020), Lung Neoplasms (mesh), Animal (mesh), Cancer (rcdc), Humans (mesh), 31 Biological Sciences (for-2020), Neoplastic (mesh), Genetics (rcdc), Gene Expression Profiling, Mice (mesh), Cancer (hrcs-hc), 1112 Oncology and Carcinogenesis (for), Transcriptome (mesh), Gene Expression Profiling (mesh), 1.5 Resources and infrastructure (underpinning) (hrcs-rac), Gene Expression Regulation, Neoplastic, Disease Models, Animal, 3211 Oncology and Carcinogenesis (for-2020), Gene Expression Regulation, Oncology & Carcinogenesis (science-metrix), Disease Models, Lung Cancer (rcdc), Genetic (mesh), Transcriptome
Dateibeschreibung: application/pdf
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40298430
https://hdl.handle.net/11386/4908259
https://doi.org/10.1158/0008-5472.can-24-1607
https://aacrjournals.org/cancerres/article-abstract/85/10/1769/762282/The-Lung-Cancer-Autochthonous-Model-Gene ?redirectedFrom=fulltext
https://escholarship.org/content/qt43f1z3qb/qt43f1z3qb.pdf
https://escholarship.org/uc/item/43f1z3qb -
16
Autoren: et al.
Quelle: EBioMedicine. 110
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3202 Clinical Sciences (for-2020), 3204 Immunology (for-2020), Genetics (rcdc), Clinical Research (rcdc), Lupus (rcdc), Autoimmune Disease (rcdc), Women's Health (rcdc), Human Genome (rcdc), 2.1 Biological and endogenous factors (hrcs-rac), 1.1 Normal biological development and functioning (hrcs-rac), Inflammatory and immune system (hrcs-hc), 3 Good Health and Well Being (sdg), Humans (mesh), Lupus Erythematosus, Systemic (mesh), Female (mesh), Male (mesh), Signal Transduction (mesh), Single-Cell Analysis (mesh), Adult (mesh), Middle Aged (mesh), Exercise (mesh), Inflammation (mesh), Cytokines (mesh), Gene Expression Profiling (mesh), Sedentary Behavior (mesh), Transcriptome (mesh), Leukocytes, Mononuclear (mesh), arthritis, Physical activity, Single transcriptomics, Lifestyle behaviors, Leukocytes, Mononuclear (mesh), Humans (mesh), Lupus Erythematosus, Systemic (mesh), Inflammation (mesh), Cytokines (mesh), Exercise (mesh), Gene Expression Profiling (mesh), Signal Transduction (mesh), Adult (mesh), Middle Aged (mesh), Female (mesh), Male (mesh), Single-Cell Analysis (mesh), Transcriptome (mesh), Sedentary Behavior (mesh), Lifestyle behaviors, Physical activity, Rheumatoid arthritis, Single cell transcriptomics, Humans (mesh), Lupus Erythematosus, Systemic (mesh), Female (mesh), Male (mesh), Signal Transduction (mesh), Single-Cell Analysis (mesh), Adult (mesh), Middle Aged (mesh), Exercise (mesh), Inflammation (mesh), Cytokines (mesh), Gene Expression Profiling (mesh), Sedentary Behavior (mesh), Transcriptome (mesh), Leukocytes, Mononuclear (mesh), 1103 Clinical Sciences (for), 1117 Public Health and Health Services (for), 3202 Clinical sciences (for-2020), 4202 Epidemiology (for-2020)
Dateibeschreibung: application/pdf
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17
Omics-driven onboarding of the carotenoid producing red yeast Xanthophyllomyces dendrorhous CBS 6938
Autoren: et al.
Quelle: Applied Microbiology and Biotechnology. 108(1)
Schlagwörter: 31 Biological Sciences (for-2020), 3105 Genetics (for-2020), Climate-Related Exposures and Conditions (rcdc), Genetics (rcdc), Biotechnology (rcdc), Human Genome (rcdc), 1.1 Normal biological development and functioning (hrcs-rac), Basidiomycota (mesh), Oxidative Stress (mesh), Gene Expression Regulation, Fungal (mesh), Xanthophylls (mesh), Gene Expression Profiling (mesh), Promoter Regions, Genetic (mesh), Carotenoids (mesh), Light (mesh), Transcriptome (mesh), Ultraviolet Rays (mesh), Synthetic Biology (mesh), Genomics (mesh), X. dendrorhous, Nonconventional yeast, Transcriptomics, Genetic parts, Photobiology, Basidiomycota (mesh), Carotenoids (mesh), Xanthophylls (mesh), Gene Expression Profiling (mesh), Genomics (mesh), Ultraviolet Rays (mesh), Gene Expression Regulation, Fungal (mesh), Oxidative Stress (mesh), Light (mesh), Promoter Regions, Genetic (mesh), Synthetic Biology (mesh), Transcriptome (mesh), X. dendrorhous, Genetic parts, Nonconventional yeast, Photobiology, Transcriptomics, Basidiomycota (mesh), Oxidative Stress (mesh), Gene Expression Regulation, Fungal (mesh), Xanthophylls (mesh), Gene Expression Profiling (mesh), Promoter Regions, Genetic (mesh), Carotenoids (mesh), Light (mesh), Transcriptome (mesh), Ultraviolet Rays (mesh), Synthetic Biology (mesh), Genomics (mesh), Biotechnology (science-metrix)
Dateibeschreibung: application/pdf
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18
Autoren: et al.
Quelle: Nature Genetics. 56(12)
Schlagwörter: 3101 Biochemistry and Cell Biology (for-2020), 3105 Genetics (for-2020), 31 Biological Sciences (for-2020), Acquired Cognitive Impairment (rcdc), Brain Disorders (rcdc), Genetics (rcdc), Neurodegenerative (rcdc), Neurosciences (rcdc), Dementia (rcdc), Alzheimer's Disease (rcdc), Aging (rcdc), Human Genome (rcdc), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) (rcdc), 2.1 Biological and endogenous factors (hrcs-rac), 1.1 Normal biological development and functioning (hrcs-rac), Neurological (hrcs-hc), Alzheimer Disease (mesh), Animals (mesh), Humans (mesh), Down Syndrome (mesh), Transcriptome (mesh), Mice (mesh), Female (mesh), Gene Expression Profiling (mesh), Disease Models, Animal (mesh), Male (mesh), Cell Nucleus (mesh), Aged (mesh), Gene Regulatory Networks (mesh), Aged, 80 and over (mesh), Cell Communication (mesh), Alzheimer’s Biomarkers Consortium–Down Syndrome (ABC–DS), Cell Nucleus (mesh), Animals (mesh), Humans (mesh), Mice (mesh), Alzheimer Disease (mesh), Down Syndrome (mesh), Disease Models, Animal (mesh), Gene Expression Profiling (mesh), Cell Communication (mesh), Aged (mesh), Aged, 80 and over (mesh), Female (mesh), Male (mesh), Gene Regulatory Networks (mesh), Transcriptome (mesh), Alzheimer Disease (mesh), Animals (mesh), Humans (mesh), Down Syndrome (mesh), Transcriptome (mesh), Mice (mesh), Female (mesh), Gene Expression Profiling (mesh), Disease Models, Animal (mesh), Male (mesh), Cell Nucleus (mesh), Aged (mesh), Gene Regulatory Networks (mesh), Aged, 80 and over (mesh), Cell Communication (mesh), 06 Biological Sciences (for), 11 Medical and Health Sciences (for), Developmental Biology (science-metrix), 3001 Agricultural biotechnology (for-2020), 3102 Bioinformatics and computational biology (for-2020), 3105 Genetics (for-2020)
Dateibeschreibung: application/pdf
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19
Autoren: et al.
Quelle: Nature Methods. 21(10)
Schlagwörter: 31 Biological Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), Genetics (rcdc), Human Genome (rcdc), Bioengineering (rcdc), Animals (mesh), Single-Cell Analysis (mesh), Mice (mesh), Transcriptome (mesh), COVID-19 (mesh), Cell Communication (mesh), Humans (mesh), Gene Expression Profiling (mesh), Islets of Langerhans (mesh), Sequence Analysis, RNA (mesh), SARS-CoV-2 (mesh), Embryonic Development (mesh), Islets of Langerhans (mesh), Animals (mesh), Humans (mesh), Mice (mesh), Gene Expression Profiling (mesh), Sequence Analysis, RNA (mesh), Cell Communication (mesh), Embryonic Development (mesh), Single-Cell Analysis (mesh), Transcriptome (mesh), COVID-19 (mesh), SARS-CoV-2 (mesh), Animals (mesh), Single-Cell Analysis (mesh), Mice (mesh), Transcriptome (mesh), COVID-19 (mesh), Cell Communication (mesh), Humans (mesh), Gene Expression Profiling (mesh), Islets of Langerhans (mesh), Sequence Analysis, RNA (mesh), SARS-CoV-2 (mesh), Embryonic Development (mesh), 06 Biological Sciences (for), 10 Technology (for), 11 Medical and Health Sciences (for), Developmental Biology (science-metrix), 31 Biological sciences (for-2020)
Dateibeschreibung: application/pdf
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20
Autoren: et al.
Quelle: Nature. 633(8028)
Schlagwörter: 32 Biomedical and Clinical Sciences (for-2020), 3204 Immunology (for-2020), Heart Disease - Coronary Heart Disease (rcdc), Cardiovascular (rcdc), Heart Disease (rcdc), 2.1 Biological and endogenous factors (hrcs-rac), Cardiovascular (hrcs-hc), Animals (mesh), Female (mesh), Humans (mesh), Male (mesh), Mice (mesh), Dendritic Cells (mesh), Endothelial Cells (mesh), Fibroblasts (mesh), Gene Expression Profiling (mesh), Immunity, Innate (mesh), Interferon Regulatory Factor-3 (mesh), Interferon Type I (mesh), Macrophages (mesh), Mice, Inbred C57BL (mesh), Myocardial Infarction (mesh), Myocytes, Cardiac (mesh), Neutrophils (mesh), Receptors, CCR2 (mesh), Dendritic Cells (mesh), Neutrophils (mesh), Fibroblasts (mesh), Macrophages (mesh), Endothelial Cells (mesh), Myocytes, Cardiac (mesh), Animals (mesh), Mice, Inbred C57BL (mesh), Humans (mesh), Mice (mesh), Myocardial Infarction (mesh), Interferon Type I (mesh), Gene Expression Profiling (mesh), Female (mesh), Male (mesh), Interferon Regulatory Factor-3 (mesh), Receptors, CCR2 (mesh), Immunity, Innate (mesh), Animals (mesh), Female (mesh), Humans (mesh), Male (mesh), Mice (mesh), Dendritic Cells (mesh), Endothelial Cells (mesh), Fibroblasts (mesh), Gene Expression Profiling (mesh), Immunity, Innate (mesh), Interferon Regulatory Factor-3 (mesh), Interferon Type I (mesh), Macrophages (mesh), Mice, Inbred C57BL (mesh), Myocardial Infarction (mesh), Myocytes, Cardiac (mesh), Neutrophils (mesh), Receptors, CCR2 (mesh), General Science & Technology (science-metrix)
Dateibeschreibung: application/pdf
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