Services
- Genetic Marker Assisted Breeding
- Plant Molecular Biology Research
- Research on DNA Level of Plant
- Research on Microspore Embryogenesis
- Plant Genetic Engineering
- Plant Genome Editing with CRISPR / Cas9
- Plant Genome Editing with TALEN
- Plant Genome Editing with ZFN
- RNAi Mediated Plant Gene Silencing
- Overexpression of Plant Genes
- Arabidopsis thaliana Transformation
- Oryza sativa Transformation
- Zea mays Transformation
- Triticum aestivum Transformation
- Medicago truncatula Transformation
- Glycine max Transformation
- Gossypium hirsutum Transformation
- Nicotiana tabacum Transformation
- Solanum lycopersicum Transformation
- Brassica napus Transformation
- Solanum tuberosum Transformation
- Virus-Induced Gene Silencing (VIGS) of Plant Genes
- Research on Protein Level of Plant
- Plant Epigenetic Modification Testing Services
- Sequencing-based Plant Breeding
- Plant DNA-level Sequencing Services
- Plant Genome De Novo Service
- Plant Whole Genome Resequencing Service
- Plant Reduced-Representation Genome Sequencing (RRGS)
- Plant Genetic Map Service
- BSA Trait Positioning of Plant
- Genome-Wide Association Study (GWAS) of Plant
- eQTL Analysis of Plant
- Plant Genetic Evolution Service
- Plant Pan-genome Sequencing
- Plant Whole Exome Sequencing Service
- Individual Selection Pressure Analysis of Plant
- Mixing-tank Selection Pressure Analysis of Plant
- Plant Whole Genome Survey
- Plant RNA Level Sequencing Services
- Eukaryotic Transcriptome Sequencing without Reference Genome
- Eukaryotic Transcriptome Sequencing with Reference Genome
- Prokaryotic Transcriptome Sequencing Analysis
- LncRNA Sequencing of Plant
- Plant Small RNA Sequencing
- Plant Circular RNA Sequencing
- Plant Comparative Transcriptome Service
- Plant Isoform-sequencing with Reference Genome
- Plant Isoform-sequencing without Reference Genome
- Ribo-seq of Plant
- Metatranscriptome Sequencing of Plant
- Plant Single Cell Level Sequencing Services
- Plant Epigenetics Level Sequencing Services
- Plant Proteomics Service
- Proteomics Qualitative Analysis in Plant
- Plant Protein Quantitative Analysis Service Based on Isotope Labeling (iTRAQ / TMT)
- Non-labeled Plant Protein Quantitative Analysis (Label-free / DIA)
- Plant Protein Targeted Quantitative Service (PRM / MRM / AQUA)
- Post-translational Modification Proteomics (PTMs) Service for Plant
- Plant Metabolomics Services
- Plant DNA-level Sequencing Services
- Other Services
- Plant CNV Analysis Service
- Plant Mutation Detection Service
- Plant Strain / Cell Level Services
- Plant Tissue and Cell Culture Services
- Plant Polyploidization Services
- Plant Haploidization Services
- Plant Phenotypic Analysis
- Plant Stress Response Indicators Analysis
- Plant Biochemical Analysis
- Plant Tissue and Cell Imaging Services
- Plant Disease Identification Services
- Plant Organelle Isolation Services
- Genetically Modified Plant Testing Services
- Seed Testing Services
Non-labeled Plant Protein Quantitative Analysis (Label-free / DIA)
INQUIRYIntroductions
Non-labeled protein quantitative analysis means that no stable isotope-labeled samples are required, and each sample is tested separately. Since there is no need to label samples, the cost of non-labeled protein quantitative analysis technology is low, and there is no limit to the amount of samples tested at one time, and the protein expression differences of multiple samples can be compared at the same time. According to the different mass spectrometry data acquisition modes, the non-labeled protein quantification is divided into label free method (LFQ) using data dependent acquisition mode (DDA) and DIA method using data independent acquisition mode (DIA). These two technologies have been widely used in protein quantitative analysis. In the field of agricultural molecular breeding, it is mainly applied to protein expression changes in samples under different treatments / different physiological conditions, and protein regulatory network research and other directions, to assist breeders in the selection of high-protein crops.
Services
Technical characteristics
- DIA is a new mass spectrometry data acquisition method developed in recent years. DIA can fragment all precursor ions within a specific mass range, and collect fragment ion information of all precursor ions for protein qualitative and quantitative.
- DIA technology is particularly suitable for protein research with large sample sizes.
- Compared with DDA, DIA has better accuracy and repeatability.
Experimental procedure for non-labeled protein quantification
Analysis content
| Standard information analysis | Mass spectrometry accuracy assessment |
| Reference protein database establishment (DIA) | |
| Protein database establishment and Mascot software search (LFQ) | |
| Protein identification and quantification | |
| Protein function annotation (GO function, KEGG metabolic pathway) | |
| Advanced protein annotation (protein domain analysis, transcription factor analysis, etc.) | |
| Differential protein analysis | |
| Differential protein GO/KEGG function enrichment analysis | |
| GSEA analysis | |
| Customized information analysis | Proteome and transcriptome association analysis |
| Protein interaction network analysis |
Sample requirements
- Fresh plant tissue > 2 g
- The total amount of protein in the protein solution > 500 μg
Project cycle
- It takes 50~70 working days to complete the standard process.
Feedback to customers
- Raw data
- A project report includes experimental procedures, related mass spectrometry parameters, and standard analysis results.
Service process
Advantages
- Lifeasible specializes in providing services related to agricultural molecular breeding, with standardized systems and scientific management.
- The experiment adopts a carefully optimized experimental procedure, which has extremely high efficiency and specificity.
- The one-stop service we provide makes your upstream and downstream experiments seamlessly connected, facilitates your experiments more conveniently and quickly.
- With a strong bioinformatics team, it can meet the various in-depth data analysis needs of customers.
- Personalized customized package service.
※ For research or industrial use.
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