2021
DOI: 10.1002/pmic.202100198
|View full text |Cite
|
Sign up to set email alerts
|

Automation of single‐cell proteomic sample preparation

Abstract: Molecular heterogeneity exists at different spatial scales in biological samples and is an important parameter in the development of pathologies and resistances to therapies. When aiming to reach molecular heterogeneity of cells at extremely low spatial scales, single‐cell analysis can be the ultimate choice. Proteomics performed in bulk population of cells (macroproteomics) is prone to mask molecular heterogeneity. Mass spectrometry‐based single cell proteomics (SCP‐MS) is the right solution to overcome this … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
13
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 17 publications
(15 citation statements)
references
References 43 publications
0
13
0
Order By: Relevance
“…In such context, proteins with significantly altered abundancies between healthy and disease samples, can be used as biomarker candidates helping for diagnosis, prognosis, monitoring and eventually therapy in personalized medicine [1–3]. Recent advances in protein sample preparation and analysis provided powerful platforms that enabled deep proteome coverages and selection of disease‐related biomarker candidates [4–7].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In such context, proteins with significantly altered abundancies between healthy and disease samples, can be used as biomarker candidates helping for diagnosis, prognosis, monitoring and eventually therapy in personalized medicine [1–3]. Recent advances in protein sample preparation and analysis provided powerful platforms that enabled deep proteome coverages and selection of disease‐related biomarker candidates [4–7].…”
Section: Introductionmentioning
confidence: 99%
“…powerful platforms that enabled deep proteome coverages and selection of disease-related biomarker candidates [4][5][6][7].…”
mentioning
confidence: 99%
“…For instance, serotonin (MW 176), expressed during the cleavage stage, is involved in the determination of the left-right axis [13]; retinoic acid (MW 300) and adrenaline (MW 183), expressed from gastrula to neurula, are required for posteriorization [14,15]; and γ-aminobutyric acid (GABA) (MW 103), expressed after neurula, has a role in embryonic elongation [16]. Research on metabolic activities via metabolomics in the embryo holds great potential to raise our understanding of the developmental processes that control cell-type specification by combining with the other omics data obtained by previous studies [17][18][19]. It is also significant to find dorsoventral-specific secreted molecules, generally contained in the supernatant of cultured cells, and small molecules that determine cell-autonomous differentiation inside cells.…”
Section: Introductionmentioning
confidence: 99%
“…Research on biomarkers for early cancer diagnosis is growing [6]. Because microRNAs (miRNAs) are small and well preserved in formalin, researchers are searching for miRNA biomarkers and the corresponding target genes indicative of transitions from SH/CH-nonA to EC over a long-term follow-up, miRNAs are evolutionarily conserved, non-coding RNAs that are usually between 21 and 25 nucleotides in length; they function by binding to the 3 untranslated regions of mRNAs, where they repress protein translation or promote mRNA degradation [7].…”
Section: Introductionmentioning
confidence: 99%