2011
DOI: 10.1016/j.cca.2010.09.021
|View full text |Cite
|
Sign up to set email alerts
|

Direct tissue analysis by MALDI-TOF mass spectrometry in human hepatocellular carcinoma

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
21
0

Year Published

2011
2011
2023
2023

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 26 publications
(21 citation statements)
references
References 34 publications
0
21
0
Order By: Relevance
“…Each ion within the spectrum can then be viewed for its spatial distribution and relative intensity across the entire section. Molecular correlations with spatial distinctions can be clearly observed and compared in normal and diseased tissues (5,6).…”
Section: Protein Analysismentioning
confidence: 99%
“…Each ion within the spectrum can then be viewed for its spatial distribution and relative intensity across the entire section. Molecular correlations with spatial distinctions can be clearly observed and compared in normal and diseased tissues (5,6).…”
Section: Protein Analysismentioning
confidence: 99%
“…This opens the way for specific and cancer-related in situ biomarker analysis and identification. In a histology-driven way, other groups have employed MALDI-IMS to study the proteome of renal cell carcinoma tumor margins (Oppenheimer et al 2010), hepatocellular carcinoma and corresponding non-tumor junction sections (Han et al 2011), and ovarian cancer interface zones (Kang et al 2010).…”
Section: Maldi-ims For Investigation Of Tumor Biologymentioning
confidence: 99%
“…This technology allows for the visualization of the distribution of biomolecules (peptides, proteins and lipids) across a tissue section where the relative abundance of hundreds of biomolecules can be mapped across the entire tissue section [8][9][10][11][12][13]. It is thus possible to use MALDI-IMS spectral data of tissue biopsies to detect numerous cancer-associated biochemical changes [14].…”
Section: Introductionmentioning
confidence: 99%