Showing 1 - 20 results of 43 for search '"Single-Cell Analysis methods"', query time: 1.66s Refine Results
1
Simultaneous quantification of protein-DNA interactions and transcriptomes in single cells with scDam&T-seq

Authors: Sandra S. de Vries, Corina M. Markodimitraki, Jop Kind, Siddharth S. Dey, Kim L. de Luca, Koos Rooijers, Silke J. A. Lochs, Alex Chialastri, Franka J. Rang, Dylan Mooijman

Contributors: Hubrecht Institute for Developmental Biology and Stem Cell Research

Source: Nature Protocols, 15(6), 1922-1953. Nature Publishing Group
Nat Protoc

Subject Terms: Animals, Cell Line, Tumor, DNA/genetics, DNA Methylation, Escherichia coli/genetics, Escherichia coli Proteins/genetics, Gene Expression Profiling/methods, Genomics/methods, Humans, Mice, Protein Binding, Proteins/genetics, Recombinant Fusion Proteins/genetics, Sequence Analysis, DNA/methods, Single-Cell Analysis/methods, Site-Specific DNA-Methyltransferase (Adenine-Specific)/genetics, Transcriptome, General Biochemistry, Genetics and Molecular Biology, Chemistry, DNA, chemistry.chemical_compound, Chromatin, Primer (molecular biology), DNA methylation, Sequence analysis, Fusion protein, Computational biology, Transcription (biology), Cell Line, Tumor, Sequence Analysis, DNA/methods, Article

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::448d28caf6d66914c2a6bf94b54d4c42

3
Improved assembly and variant detection of a haploid human genome using single-molecule, high-fidelity long reads

Authors: Vollger, Mitchell R., Logsdon, Glennis A., Audano, Peter A., Sulovari, Arvis, Porubsky, David, Peluso, Paul, Wenger, Aaron M., Concepcion, Gregory T., Kronenberg, Zev N., Munson, Katherine M., Baker, Carl, Sanders, Ashley D., Spierings, Diana C.J., Lansdorp, Peter M., Surti, Urvashi, Hunkapiller, Michael W., Eichler, Evan E.

Contributors: Damage and Repair in Cancer Development and Cancer Treatment (DARE), Stem Cell Aging Leukemia and Lymphoma (SALL), University of Groningen

Source: Annals of Human Genetics, 84(2), 125-140. Wiley
Ann Hum Genet

Subject Terms: genome assembly, long-read sequencing, segmental duplications, structural variation, tandem repeats, REGIONS, Article, Biomarkers/analysis, Female, Genetic Variation, Genome, Human, Haploidy, High-Throughput Nucleotide Sequencing, Humans, Hydatidiform Mole/genetics, Molecular Sequence Annotation, Pregnancy, Sequence Analysis, DNA/methods, Single-Cell Analysis/methods, Computational biology, Structural variation, Segmental duplication, Genome, Genomic organization, Biology, Human genome, Tandem repeat, Gene Annotation, Sequence assembly, Genetics(clinical), Genetics, Human, Sequence Analysis, DNA/methods

File Description: application/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bbd9e88150ec9ec65579276235a33d1

4
Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics

Authors: Christoph, Muus, Luecken , Malte D., Gökcen, Eraslan, Lisa, Sikkema, Avinash, Waghray, Graham, Heimberg, Yoshihiko, Kobayashi, Eeshit Dhaval Vaishnav, Ayshwarya, Subramanian, Christopher, Smillie, Jagadeesh, Karthik A., Elizabeth Thu Duong, Evgenij, Fiskin, Elena Torlai Triglia, Meshal, Ansari, Peiwen, Cai, Brian, Lin, Justin, Buchanan, Sijia, Chen, Jian, Shu, Haber, Adam L., Hattie, Chung, Montoro, Daniel T., Taylor, Adams, Hananeh, Aliee, Allon, Samuel J., Zaneta, Andrusivova, Ilias, Angelidis, Orr, Ashenberg, Kevin, Bassler, Christophe, Bécavin, Inbal, Benhar, Joseph, Bergenstråhle, Ludvig, Bergenstråhle, Liam, Bolt, Emelie, Braun, Bui, Linh T., Steven, Callori, Mark, Chaffin, Evgeny, Chichelnitskiy, Joshua, Chiou, Conlon, Thomas M., Cuoco, Michael S., Cuomo, Anna S. E., Marie, Deprez, Grant, Duclos, Denise, Fine, Fischer, David S., Shila, Ghazanfar, Astrid, Gillich, Bruno, Giotti, Joshua, Gould, Minzhe, Guo, Gutierrez, Austin J., Habermann, Arun C., Tyler, Harvey, Peng, He, Xiaomeng, Hou, Lijuan, Hu, Yan, Hu, Alok, Jaiswal, Lu, Ji, Peiyong, Jiang, Kapellos, Theodoros S., Kuo, Christin S., Ludvig, Larsson, Leney-Greene, Michael A., Kyungtae, Lim, Monika, Litviňuková, Ludwig, Leif S., Soeren, Lukassen, Wendy, Luo, Henrike, Maatz, Elo, Madissoon, Lira, Mamanova, Kasidet, Manakongtreecheep, Sylvie, Leroy, Mayr, Christoph H., Mbano, Ian M., McAdams, Alexi M., Nabhan, Ahmad N., Nyquist, Sarah K., Lolita, Penland, Poirion, Olivier B., Sergio, Poli, CanCan, Qi, Rachel, Queen, Daniel, Reichart, Ivan, Rosas, Schupp, Jonas C., Shea, Conor V., Xingyi, Shi, Rahul, Sinha, Sit, Rene V., Kamil, Slowikowski, Michal, Slyper, Smith, Neal P., Alex, Sountoulidis, Maximilian, Strunz, Sullivan, Travis B., Dawei, Sun, Carlos, Talavera-López, Peng, Tan, Jessica, Tantivit, Travaglini, Kyle J., Tucker, Nathan R., Vernon, Katherine A., Wadsworth, Marc H., Julia, Waldman, Xiuting, Wang, Ke, Xu, Wenjun, Yan, William, Zhao, Ziegler, Carly G. K., The NHLBI LungMap Consortium, Zerti, Darin, The Human Cell Atlas Lung Biological Network

Source: Nature Medicine, 27(3), 546-559. Nature Publishing Group

Subject Terms: Adult, Aged, Aged, 80 and over, Alveolar Epithelial Cells/metabolism, Angiotensin-Converting Enzyme 2/genetics, COVID-19/epidemiology, Cathepsin L/genetics, Datasets as Topic/statistics & numerical data, Demography, Female, Gene Expression Profiling/statistics & numerical data, Host-Pathogen Interactions/genetics, Humans, Lung/metabolism, Male, Middle Aged, Organ Specificity/genetics, Respiratory System/metabolism, SARS-CoV-2/physiology, Sequence Analysis, RNA/methods, Serine Endopeptidases/genetics, Single-Cell Analysis/methods, Virus Internalization, General Biochemistry, Genetics and Molecular Biology, General Medicine, 80 and over, Sequence Analysis, RNA/methods, respiratory system

File Description: application/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d839ca15b7936b81f584514e712504f3
https://research.rug.nl/en/publications/singlecell-metaanalysis-of-sarscov2-entry-genes-across-tissues-and-demographics(ca4badb5-f4af-442e-94b7-7d69f61ddab6).html

5
Quantitative single-cell proteomics as a tool to characterize cellular hierarchies

Authors: Erwin M. Schoof, Benjamin Furtwängler, Nil Üresin, Nicolas Rapin, Simonas Savickas, Coline Gentil, Eric Lechman, Ulrich auf dem Keller, John E. Dick, Bo T. Porse

Source: Schoof, E M, Furtwängler, B, Üresin, N, Rapin, N, Savickas, S, Gentil, C, Lechman, E, Keller, U A D, Dick, J E & Porse, B T 2021, ' Quantitative single-cell proteomics as a tool to characterize cellular hierarchies ', Nature Communications, vol. 12, 3341 . https://doi.org/10.1038/s41467-021-23667-y
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Nature Communications
Schoof, E M, Furtwängler, B, Üresin, N, Rapin, N, Savickas, S, Gentil, C, Lechman, E, Keller, U A D, Dick, J E & Porse, B T 2021, ' Quantitative single-cell proteomics as a tool to characterize cellular hierarchies ', Nature Communications, vol. 12, no. 1, pp. 3341 . https://doi.org/10.1038/s41467-021-23667-y

Subject Terms: General Physics and Astronomy, General Biochemistry, Genetics and Molecular Biology, General Chemistry, Science, Article, Proteomics, Mass spectrometry, Cancer stem cells, Acute myeloid leukaemia, Proteome informatics, Humans, Leukemia, Myeloid, Acute, Mass Spectrometry, Neoplastic Stem Cells, Proteome/metabolism, Proteomics/methods, RNA, Single-Cell Analysis/methods, Workflow

File Description: application/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c44ad905f8e87ccc8209a791f76361db
https://orbit.dtu.dk/en/publications/9eb8a036-d6cc-4f54-8133-ff98c5b68b55

6
Single-cell analysis reveals that stochasticity and paracrine signaling control interferon-alpha production by plasmacytoid dendritic cells

Authors: Wimmers, Florian, Subedi, Nikita, van Buuringen, Nicole, Heister, Daan, Vivié, Judith, Beeren-Reinieren, Inge, Woestenenk, Rob, Dolstra, Harry, Piruska, Aigars, Jacobs, Joannes F. M., van Oudenaarden, Alexander, Figdor, Carl G., Huck, Wilhelm T. S., de Vries, I. Jolanda M., Tel, Jurjen

Contributors: Hubrecht Institute for Developmental Biology and Stem Cell Research, Institute for Complex Molecular Systems, Immunoengineering

Source: Nature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
Nature Communications, 9(1). Nature Publishing Group
Nature Communications
Nature Communications, 9, 1-12
Nature Communications, 9(1):3317. Nature Publishing Group

Subject Terms: Science, Cellular Microenvironment, Cross-Priming, Dendritic Cells/metabolism, Gene Expression Regulation, Humans, Interferon Type I/biosynthesis, Jurkat Cells, Paracrine Communication, Sequence Analysis, RNA, Single-Cell Analysis/methods, Stochastic Processes, Toll-Like Receptors/metabolism, Sequence Analysis, RNA, lcsh:Science, lcsh:Q, Chemistry(all), Biochemistry, Genetics and Molecular Biology(all), Physics and Astronomy(all), General Physics and Astronomy, General Biochemistry, Genetics and Molecular Biology, General Chemistry, Interferon-alpha production, Paracrine signalling, Interferon, medicine.drug, medicine, Population, education.field_of_study, education, Immune system, Biology, Single-cell analysis, Regulation of gene expression, Cytokine, medicine.medical_treatment, Cell biology, SDG 3 - Good Health and Well-being, Article, Biochemistry, Genetics and Molecular Biology(all), hemic and immune systems

File Description: application/pdf; image/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8bed2a5a13c25dce37737c375fc2c5c
https://doaj.org/article/5014ff7f8a254b8ab188443ef63dba4a

7
A new method for post-translationally labeling proteins in live cells for fluorescence imaging and tracking

Authors: Ona K Miller, Ulrich Schwarz-Linek, Michael R. Hinrichsen, Lynne Regan, Peter S. Swain, J.M. Edwards, Simon G. J. Mochrie, M Lenz

Contributors: University of St Andrews.Biomedical Sciences Research Complex, University of St Andrews.School of Biology

Source: Hinrichsen, M, Lenz, M, Edwards, J M, Miller, O K, Mochrie, S G J, Swain, P S, Schwarz-Linek, U & Regan, L 2017, ' A new method for post-translationally labeling proteins in live cells for fluorescence imaging and tracking ', Protein engineering, design & selection : PEDS, vol. 30, no. 12, pp. 771-780 . https://doi.org/10.1093/protein/gzx059

Subject Terms: Molecular Biology, Biochemistry, Bioengineering, Biotechnology, Peptide, chemistry.chemical_classification, chemistry, Target protein, Fluorescence-lifetime imaging microscopy, Cell biology, Fluorescent protein, Covalent bond, Membrane protein, In situ, Protein engineering, Cell Tracking/methods, Fluorescent Dyes/analysis, Protein Engineering/methods, Protein Processing, Post-Translational, Saccharomyces cerevisiae/genetics, Single-Cell Analysis/methods, Spectrometry, Fluorescence/methods, Original Article, Fluorescence imaging, Post-translational labeling, QD Chemistry, QH301 Biology, NDAS, QD, QH301

File Description: application/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3af92fc881d0523eba3201b04f1f89da
http://academic.oup.com/peds/article-pdf/30/12/771/29098404/gzx059.pdf

11
High-density single cell mRNA sequencing to characterize circulating tumor cells in hepatocellular carcinoma

Authors: D’Avola, Delia, Villacorta-Martin, Carlos, Martins-Filho, Sebastiao N., Craig, Amanda, Labgaa, Ismail, von Felden, Johann, Kimaada, Allette, Bonaccorso, Antoinette, Tabrizian, Parissa, Hartmann, Boris M., Sebra, Robert, Schwartz, Myron, Villanueva, Augusto

Source: Scientific Reports
Scientific reports, vol. 8, no. 1, pp. 11570
Scientific Reports, Vol 8, Iss 1, Pp 1-7 (2018)

Subject Terms: Multidisciplinary, Cancer, medicine.disease, medicine, MRNA Sequencing, Cytometry, Cancer research, Circulating tumor cell, business.industry, business, Gene expression profiling, Liquid biopsy, Carcinoma, Hepatocellular carcinoma, Article, Adult, Aged, Carcinoma, Hepatocellular/pathology, Female, Flow Cytometry, Gene Expression Profiling, Humans, Male, Middle Aged, Neoplastic Cells, Circulating/chemistry, RNA, Messenger/analysis, RNA, Messenger/genetics, Sequence Analysis, RNA, Single-Cell Analysis/methods, lcsh:Medicine, lcsh:R, lcsh:Science, lcsh:Q, digestive system diseases, neoplasms

File Description: application/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9d81d168f6dde70a668d987d92f0fb1

HTML Full Text     PDF Full Text
12
TrackMate: An open and extensible platform for single-particle tracking

Authors: Tinevez, Jean-Yves, Perry, Nick, Schindelin, Johannes, Hoopes, Genevieve, Reynolds, Gregory, Laplantine, Emmanuel, Bednarek, Sebastian, Shorte, Spencer, Eliceiri, Kevin

Contributors: Imagopole (CITECH), Institut Pasteur [Paris], Laboratory for Optical and Computational Instrumentation [Madison], University of Wisconsin-Madison, Department of Biochemistry [Madison], Signalisation et Pathogénèse, Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], Morgridge Institute for Research [Madison], The authors would like to extend their gratitude for financial support from the European commission FP7 ICT (project 'MEMI', J-Y.T, S.L.S.), the Laboratory for Optical and Computational Instrumentation at the UW-Madison and National Science Foundation award #1121998 (J.S., S.Y.B., K.W.E). N.P. was a Pasteur visiting student thanks to funds provisioned by the Stanford University. TrackMate development has been and is supported by the Fiji, ImageJ and KNIME communities. Their invaluable help particularly that of Fiji maintainer Curtis Rueden and KNIME image processing developer Christian Dietz is acknowledged here., European Project: 215597,EC:FP7:ICT,FP7-ICT-2007-1,MEMI(2008)

Source: Methods
Methods, Elsevier, 2017, 115, pp.80-90. ⟨10.1016/j.ymeth.2016.09.016⟩

Subject Terms: Biochemistry, Genetics and Molecular Biology(all), Molecular Biology, Image analysis, Open-source software, Microscopy, Single-particle tracking, Phototoxicity, Clathin-mediated endocytosis, MESH: Adaptor Proteins, Vesicular Transport/genetics, MESH: Adaptor Proteins, Vesicular Transport/metabolism, MESH: Clathrin/metabolism, MESH: Embryo, Nonmammalian/metabolism, MESH: Embryo, Nonmammalian/ultrastructure, MESH: Endocytosis, MESH: Fibroblasts/metabolism, MESH: Fibroblasts/ultrastructure, MESH: Gene Expression Regulation, Plant, MESH: Image Processing, Computer-Assisted/statistics & numerical data, MESH: Light Signal Transduction, MESH: Plant Cells/metabolism, MESH: Algorithms, MESH: Plant Cells/ultrastructure, MESH: Single-Cell Analysis/methods, MESH: Single-Cell Analysis/statistics & numerical data, MESH: Software, MESH: Animals, MESH: Arabidopsis/metabolism, MESH: Arabidopsis/ultrastructure, MESH: Caenorhabditis elegans, MESH: Cell Tracking/methods, MESH: Cell Tracking/statistics & numerical data, MESH: Clathrin/genetics, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, General Biochemistry, Genetics and Molecular Biology, Computer science, Software, business.industry, business, Visualization, Plug-in, computer.software_genre, computer, Extensibility, User interface, End user, Human–computer interaction, Bioinformatics, Modular design

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9332fe8c4a65e21cdf63b08dfa553c3

14
Parental haplotype-specific single-cell transcriptomics reveal incomplete epigenetic reprogramming in human female germ cells

Authors: Vértesy, Ábel, Arindrarto, Wibowo, Roost, Matthias S., Reinius, Björn, Torrens-Juaneda, Vanessa, Bialecka, Monika, Moustakas, Ioannis, Ariyurek, Yavuz, Kuijk, Ewart, Mei, Hailiang, Sandberg, Rickard, van Oudenaarden, Alexander, Chuva de Sousa Lopes, Susana M.

Contributors: Hubrecht Institute for Developmental Biology and Stem Cell Research

Source: Nature Communications
Nature Communications, 9(1). Nature Publishing Group
NATURE COMMUNICATIONS
Nature Communications, 9
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)

Subject Terms: Abortion, Legal, Adult, Chromosomes, Human, X/chemistry, DNA Methylation, Epigenesis, Genetic, Female, Fetus, Genetic Heterogeneity, Genomic Imprinting, Haplotypes, Humans, Male, Meiosis, Ovum/growth & development, Pregnancy, Pregnancy Trimesters, Single-Cell Analysis/methods, Transcriptome, Whole Exome Sequencing, X Chromosome Inactivation, Chemistry(all), Biochemistry, Genetics and Molecular Biology(all), Physics and Astronomy(all), Medicine and Health Sciences, Biology and Life Sciences, X-CHROMOSOME INACTIVATION, EMBRYONIC STEM-CELLS, LONG NONCODING RNAS, DNA-SEQUENCING DATA, GENOME, GENES, FATE, FRAMEWORK, DYNAMICS, DOMAIN, Abortion, Legal, Chromosomes, Human, X/chemistry, Epigenesis, Genetic, Biochemistry, Genetics and Molecular Biology(all), lcsh:Science, lcsh:Q, Science, General Physics and Astronomy, General Biochemistry, Genetics and Molecular Biology, General Chemistry, Reprogramming, Biology, X chromosome, Embryonic stem cell, X-inactivation, Gene, Genomic imprinting, Epigenetics, Cell biology, Article

File Description: application/pdf; image/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a294a29b694bce50c3205e962c6fc67

15
Single-cell analysis identifies cellular markers of the HIV permissive cell

Authors: Rato, Sylvie, Rausell, Antonio, Muñoz, Miguel, Telenti, Amalio, Ciuffi, Angela

Source: PLoS Pathogens, Vol 13, Iss 10, p e1006678 (2017)
PLoS pathogens, vol. 13, no. 10, pp. e1006678
PLoS Pathogens

Subject Terms: lcsh:Immunologic diseases. Allergy, lcsh:RC581-607, lcsh:Biology (General), lcsh:QH301-705.5, Virology, Genetics, Molecular Biology, Immunology, Microbiology, Parasitology, Transcriptome, IL-2 receptor, Population, education.field_of_study, education, T cell, medicine.anatomical_structure, medicine, Biology, Single-cell analysis, Cell activation, Permissiveness, Cell, Molecular biology, CD4-Positive T-Lymphocytes/immunology, Cells, Cultured, HIV Infections/immunology, HIV-1/immunology, Humans, Lymphocyte Activation/immunology, Single-Cell Analysis/methods, Virus Replication/physiology, Research Article, Biology and Life Sciences, Cell Biology, Cellular Types, Animal Cells, Blood Cells, White Blood Cells, T Cells, Immune Cells, Medicine and Health Sciences, Medical Microbiology, Microbial Pathogens, Viral Pathogens, Immunodeficiency Viruses, HIV, Pathology and Laboratory Medicine, Pathogens, Organisms, Viruses, RNA viruses, Retroviruses, Lentivirus, Infectious diseases, Viral diseases, HIV infections, Gene Expression, Biochemistry, Biomarkers, Research and Analysis Methods, Mathematical and Statistical Techniques, Statistical Methods, Multivariate Analysis, Principal Component Analysis, Physical Sciences, Mathematics, Statistics (Mathematics), DNA, Forms of DNA, Complementary DNA, cDNA libraries, Nucleic acids, DNA libraries, Computational Biology, Genome Analysis, Transcriptome Analysis, Genomics

File Description: application/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc5271c4ac7cb238226cee6241466379
http://europepmc.org/articles/PMC5658171?pdf=render

PDF Full Text
18
Real-time quantification of protein expression at the single-cell level via dynamic protein synthesis translocation reporters

Authors: Aymoz, Delphine, Wosika, Victoria, Durandau, Eric, Pelet, Serge

Source: Nature Communications
Nature Communications, vol. 7, pp. 11304
Nature Communications, Vol 7, Iss 1, Pp 1-12 (2016)

Subject Terms: General Physics and Astronomy, General Biochemistry, Genetics and Molecular Biology, General Chemistry, HSPA9, Biochemistry, Retinoblastoma-like protein 1, GPS2, Transport protein, Autophagy-related protein 13, Protein kinase A, HSPA2, Biology, Cell biology, Vesicle-associated membrane protein 8, Article, Gene Expression Regulation, Fungal, Genes, Reporter, Glycerol/metabolism, Glycerol-3-Phosphate Dehydrogenase (NAD+)/genetics, Glycerol-3-Phosphate Dehydrogenase (NAD+)/metabolism, Green Fluorescent Proteins/genetics, Green Fluorescent Proteins/metabolism, Luminescent Proteins/genetics, Luminescent Proteins/metabolism, Membrane Transport Proteins/genetics, Membrane Transport Proteins/metabolism, Protein Biosynthesis, Protein Processing, Post-Translational, Protein Transport, Saccharomyces cerevisiae/genetics, Saccharomyces cerevisiae/metabolism, Saccharomyces cerevisiae Proteins/genetics, Saccharomyces cerevisiae Proteins/metabolism, Single-Cell Analysis/methods, Time Factors, Science

File Description: application/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f984a27fb94375adc84bbe212244df2d

19
Beyond comparisons of means: understanding changes in gene expression at the single-cell level

Authors: Vallejos, Catalina A, Richardson, Sylvia, Marioni, John C

Source: Genome Biology
Vallejos, C A, Richardson, S & Marioni, J C 2016, ' Beyond comparisons of means: understanding changes in gene expression at the single-cell level ', Genome Biology, vol. 17, 70 . https://doi.org/10.1186/s13059-016-0930-3

Subject Terms: Embryonic stem cell, Gene, False discovery rate, Computational biology, Posterior probability, Genomics, Gene expression, Biology, Cell cycle, Bayesian hierarchical modeling, Normalization (statistics), Differential expression, Bayes' theorem, Gene expression profiling, Cellular level, Genetics, Level data, Probabilistic logic, Method, Single-cell RNA-seq, Cellular heterogeneity, Animals, Bayes Theorem, Gene Expression Profiling/methods, Genetic Heterogeneity, Humans, Mice, Mouse Embryonic Stem Cells/cytology, Sequence Analysis, RNA/methods, Single-Cell Analysis/methods, Web Browser

File Description: application/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2a3af65f9f107275160a75b9c73daa9
https://syndication.highwire.org/content/doi/10.1101/035949

20
Dynamic single cell measurements of kinase activity by synthetic kinase activity relocation sensors

Authors: Durandau, Eric, Aymoz, Delphine, Pelet, Serge

Source: BMC Biology
BMC Biology, vol. 13, pp. 55

Subject Terms: Cell Biology, Developmental Biology, Plant Science, General Agricultural and Biological Sciences, General Biochemistry, Genetics and Molecular Biology, Physiology, Ecology, Evolution, Behavior and Systematics, Structural Biology, Biotechnology, Budding yeast, Cell biology, MAPK/ERK pathway, Kinase, Bioinformatics, Cell, medicine.anatomical_structure, medicine, Saccharomyces cerevisiae, biology.organism_classification, biology, Phosphorylation, Single-cell analysis, Kinase activity, MAP Kinase Signaling System, Microscopy, Fluorescence/methods, Mitogen-Activated Protein Kinases/metabolism, Saccharomyces cerevisiae/cytology, Saccharomyces cerevisiae/metabolism, Saccharomyces cerevisiae Proteins/metabolism, Single-Cell Analysis/methods, Methodology Article, Biochemistry, Genetics and Molecular Biology(all), Agricultural and Biological Sciences(all)

File Description: application/pdf

Access URL: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84a3a81f749eeb543b62438e78a084f7

PDF Full Text
Search Tools: Get RSS Feed — Email this Search