Gel-free quantitative proteomics

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Mass Spectrometry (326)
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UNIPROT ID/AC

14331_SOLTU (3)
14332_SOLTU (3)
14335_SOLTU (3)
4113.PGSC0003DMT400001418 (3)
4113.PGSC0003DMT400003947 (3)
4113.PGSC0003DMT400005135 (3)
4113.PGSC0003DMT400005136 (3)
4113.PGSC0003DMT400005427 (3)
4113.PGSC0003DMT400006164 (3)
4113.PGSC0003DMT400009751 (3)
4113.PGSC0003DMT400013958 (3)
4113.PGSC0003DMT400015957 (3)
4113.PGSC0003DMT400016201 (3)
4113.PGSC0003DMT400022438 (3)
4113.PGSC0003DMT400027147 (3)
4113.PGSC0003DMT400027379 (3)
4113.PGSC0003DMT400029003 (3)
4113.PGSC0003DMT400031900 (3)
4113.PGSC0003DMT400034164 (3)
4113.PGSC0003DMT400035006 (3)
4113.PGSC0003DMT400035007 (3)
4113.PGSC0003DMT400038109 (3)
4113.PGSC0003DMT400040121 (3)
4113.PGSC0003DMT400040182 (3)
4113.PGSC0003DMT400041662 (3)
4113.PGSC0003DMT400043254 (3)
4113.PGSC0003DMT400045338 (3)
4113.PGSC0003DMT400047686 (3)
4113.PGSC0003DMT400051640 (3)
4113.PGSC0003DMT400051919 (3)

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2014 (1)
2013 (1)

Classification

bacteria (1)

Modification

2x(15)N labeled L-lysine (1)
4x(15)N labeled L-arginine (1)

Study type

RNA-seq of coding RNA (4)
Transcription profiling by array (2)
Other (1)
RNA-seq of coding RNA from single cells (1)

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2014 (6)
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Lab affiliation

Center for Neuroscience and Cell Biology – University of Coimbra (4)
Department of Biochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology and BIOSS Centre for Biological Signalling Studies, University of Freiburg, 79104 Freiburg im Breisgau, Germany (4)
NARO Institute of Crop Science (4)
Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, SE-751 23 Uppsala, Sweden. (4)
Chair of Biochemistry II, Theodor Boveri-Institute, Biocenter, University of Würzburg, Würzburg, Germany (3)
Department of Synthetic Chemistry & Biological Chemistry, Graduate School of Engineering, Kyoto Univ. Katsura, Kyoto 615-8510, JAPAN (3)
Institute of Plant Genetics, Leibniz Universitaet Hannover, Germany (3)
Lab of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil (3)
Cancer Science Institute of Singapore (CSI), National University of Singapore (NUS) (2)
Cancer Science Institute of Singapore, National University of Singapore (2)
Center for Biotechnology and Department of Botany, Federal University of Rio Grande do Sul, Porto Alegre, P.O. Box 15005, 91501-970, Brazil (2)
Chemistry and Biochemistry Department, Montana State University, Bozeman, MT 59717 (2)
Department of Life and Environmental Sciences, University of Cagliari (2)
Departments of Biochemistry and Neurology Emory University School of Medicine (2)
EDyP (2)
Fondazione Ri.MED (2)
Institute of Bioinformatics , International Technology Park, Bangalore, India (2)
Institute of Crop Science (2)
Institute of Microbiology (2)
Instituto de Investigaciones Sanitarias de Santiago de Compostela (2)
Laboratory of Molecular Basis of Synaptic Plasticity Centre of New Technologies, University of Warsaw (2)
Professor (2)
Professor, Microbiology, Immunology, and Pathology Mycobacteria Research Laboratories Scientific Director, Rocky Mountain Regional Biocontainment Laboratory Editor-in-chief, BMC Mycobacteria (2)
Professor, Unversity of British Columbia (2)
School of Bioscience & Bioengineering, South China University of Technology (2)
The Rockefeller University (2)
Univ. Bordeaux, Bordeaux Proteome, Bordeaux, France (2)
"Institute of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou 510006, China" (1)
1 Department of Molecular Neurosciences, Center for Brain Research, Medical University of Vienna, Spitalgasse 4, A-1090 Vienna, Austria; 2 Department of Neuroscience, Karolinska Institutet, Retzius väg 8, SE-17177 Stockholm, Sweden (1)
1Department of Parasitology, Faculty of Science, Charles University, BIOCEV, Průmyslová 595, 25250 Vestec, Czech Republic (1)

Tags

xref:PubMed:19997597 (1)
xref:PubMed:17486137 (1)
pathogen (1)
pathogen:bacterium (1)

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Protein Metabolism Underlying Heat Tolerance in Contrasting Creeping Bentgass Lines: Insights From Gel-Free Proteomics

One of the major disfunctions that occurs in heat-stressed plants is enhanced protein damage and a consequent decline in cellular protein content. Creeping bentgrass (Agrositis stolonifera L.) is an economically important perennial grass species which is largely used on high value turf areas but exp...

ORGANISM(S): Agrostis stolonifera

2025-10-20 | PXD060809 | Pride

A Practical and Analytical Comparative Study of Gel-Based Top-Down and Gel-Free Bottom-Up Proteomics Including Unbiased Proteoform Detection.

Not available

S-EPMC10000902 | biostudies-literature

Tube-gel digestion: a fast and reproducible sample preparation protocol for label-free quantitative proteomics of complex biological samples

Comparison of tube-gel protocol to stacking gel and liquid digestion for label-free extracted ion-current quantification of complex biological samples Dataset with known fold-changes (UPS1 spiked in yeast background at 25-10-5-2.5-1-0.5 fmol)

ORGANISM(S): Saccharomyces cerevisiae (Baker's yeast)

2016-10-18 | PXD003841 | Pride

Label-free quantitative proteomics Liquid digestion Sample preparation Tube-gel Stacking gel

Unbiased RNA-protein interaction screen by quantitative proteomics.

Not available

S-EPMC2697111 | biostudies-literature

Proteomic differences between hepatocellular carcinoma and nontumorous liver tissue investigated by a combined gel-based and label-free quantitative proteomics study.

Not available

S-EPMC3708182 | biostudies-literature

Extended investigation of tube-gel sample preparation: a versatile and simple choice for high throughput quantitative proteomics.

Not available

S-EPMC5974325 | biostudies-literature

Label-free target identification using in-gel fluorescence difference via thermal stability shift.

Not available

S-EPMC5369521 | biostudies-literature

A proteomic view on the cell biology of Staphylococcus aureus proteome

The genome sequence is the “blue-print of life”, but proteomics is required to relate this blue-print of life to the actual physiology of living cells. Because of their low complexity – only about 2.000 proteins make a Staphylococcus aureus cell viable – bacteria are excellent model systems to ident...

ORGANISM(S): Staphylococcus aureus

2009-11-11 | E-GEOD-15060 | biostudies-arrayexpress

Does filter-aided sample preparation provide sufficient method linearity for quantitative plant shotgun proteomics?

Not available

S-EPMC9728026 | biostudies-literature

Precision proteomics: the case for high resolution and high mass accuracy.

Not available

S-EPMC2587563 | biostudies-literature

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418 Results

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