2018
DOI: 10.1021/acs.analchem.8b04894
|View full text |Cite
|
Sign up to set email alerts
|

Recent Advances in Multidimensional Separation for Proteome Analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
40
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 39 publications
(44 citation statements)
references
References 144 publications
0
40
0
Order By: Relevance
“…Thus, there is a great need to develop high-resolution separation systems to improve proteome coverage and to enable the detection of low-abundance proteins. 12…”
mentioning
confidence: 99%
“…Thus, there is a great need to develop high-resolution separation systems to improve proteome coverage and to enable the detection of low-abundance proteins. 12…”
mentioning
confidence: 99%
“…2D Separations: Achieving deep proteome coverage of >5000 protein groups generally requires a multidimensional separation that provides greater peak capacity than that of a one dimensional separation. However, fractionation schemes typically lose significant amounts of sample to the collection vessels between the two separation dimensions, thus posing a significant challenge for lowinput proteomics (61). To address this, we recently developed nanowell-mediated 2D LC in which the same glass chips used for nanoPOTS sample preparation served as fraction collectors between two dimensions of nanoLC (17) ( Figure 2D).…”
Section: Progressmentioning
confidence: 99%
“…The sample loss is thereby considerably low. Online strategies sometimes decrease the overall time from sample preparation to analysis [19,42]. Thus, each strategy has some advantages and drawbacks.…”
Section: Comparison Of Offline and Online Setupsmentioning
confidence: 99%
“…Some studies have performed quantitative proteomics with MD-LC strategies to achieve a deep coverage proteome quantification [6,42,44]. It is of great benefit for clinical applications, particularly for the discovery of biomarkers [91].…”
Section: Author's Outlook and Concluding Remarksmentioning
confidence: 99%
See 1 more Smart Citation