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Keyword
- Data-Dependent Acquisition2
- False Discovery Rate2
- FDR2
- HCD2
- MRM2
- SILAC2
- AD1
- Alzheimer's disease1
- Chinese Hamster Ovary1
- CHO1
- CID1
- Clinical Proteome Tumor Analysis Consortium1
- Collisional-Induced Dissociation1
- CPTAC1
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- Data Independent Acquisition1
- Data-Independent Acquisition1
- EBI1
- EGA1
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Reviews & Perspectives
3 Results
- PerspectiveOpen Access
Data Management of Sensitive Human Proteomics Data: Current Practices, Recommendations, and Perspectives for the Future
Molecular & Cellular ProteomicsVol. 20100071Published online: March 9, 2021- Nuno Bandeira
- Eric W. Deutsch
- Oliver Kohlbacher
- Lennart Martens
- Juan Antonio Vizcaíno
Cited in Scopus: 0In Brief Availability of proteomics data in the public domain has become the norm, as it has been the case in genomics and transcriptomics for many years. Analogously to sequencing data, there are increasing ethical issues and legal requirements related to sensitive human clinical proteomics data. We review the current state of the art and make concrete recommendations to address these issues in the proteomics field, which are summarized in four different areas. - ReviewOpen Access
An Introduction to Advanced Targeted Acquisition Methods
Molecular & Cellular ProteomicsVol. 20100165Published online: October 18, 2021- Mirjam van Bentum
- Matthias Selbach
Cited in Scopus: 0In Brief The analytical power of targeted proteomics depends on how efficiently the mass spectrometer detects target peptides. A number of “smart” acquisition approaches have been developed that enable more targets per run and improve analytical performance such as sensitivity, specificity, and quantitative accuracy. This review provides an introduction to these methods and highlights their inherent strengths and weaknesses. - Review Special Issue: GlycoproteomicsOpen Access
Recent Advances in Analytical Approaches for Glycan and Glycopeptide Quantitation
Molecular & Cellular ProteomicsVol. 20100054Published online: February 19, 2021- Daniel G. Delafield
- Lingjun Li
Cited in Scopus: 0In Brief Recent years have seen an explosion in novel strategies for quantitative glycomics and glycoproteomics. Whether through metabolic incorporation of stable isotopes, deposition of custom isotopic labels, or high-throughput isobaric chemical tags, these numerous novel strategies provide ease of access to glycomic and glycoproteomic investigation. This review highlights the recent innovations in labeling methods, label-free strategies, acquisition modes, and bioinformatic tools for glycan and glycopeptide quantitation, while providing critical evaluations and technical considerations to enable effective analysis.