2015
DOI: 10.1016/j.jprot.2014.08.013
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Comparison of two FFPE preparation methods using label-free shotgun proteomics: Application to tissues of diverticulitis patients

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Cited by 18 publications
(13 citation statements)
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“…We previously demonstrated the ability to obtain an efficient and repeatable protein extraction using limited quantities of FFPE material before data-independent label-free analysis [24]. We performed macrodissection to favor the selection of cells of interest, removing abundant stromal tissue surrounding the tumor and decreasing the impact of response factors originated from neighboring tissues.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…We previously demonstrated the ability to obtain an efficient and repeatable protein extraction using limited quantities of FFPE material before data-independent label-free analysis [24]. We performed macrodissection to favor the selection of cells of interest, removing abundant stromal tissue surrounding the tumor and decreasing the impact of response factors originated from neighboring tissues.…”
Section: Discussionmentioning
confidence: 99%
“…FFPE sections for a total of 300 mm 2 of macrodissected tissue per patient were treated as previously described [11]. Deparaffinization was performed by incubating the samples twice in xylene and followed by ethanol (100%) incubation (5 min each).…”
Section: Methodsmentioning
confidence: 99%
“…Through multiple techniques they identified 193 proteins (by two or more peptides). Quesada-Calvo et al obtained 101.5 g/mm 3 from human colorectal cancer using FFPE-FASP and 84.2 g/mm 3 using On Slice AR [21]. Three FFPE-FASP replicates identified 884 proteins, and three On Slice AR replicates identified 622 proteins.…”
Section: Discussionmentioning
confidence: 99%
“…Methods have been reported for protein extraction and mass spectrometry from formalin-fixed and paraffinembedded (FFPE) tissue; however, a limited number of reports exist on mass spectrometry proteomic analysis of OCT embedded tissue samples (Azimzadeh et al, 2010;Tian et al, 2011;Quesada-Calvo et al, 2015;Zhang et al, 2015). These published reports are mainly discovery proteomics data, which focuses on qualitative appearance of peptide signals rather than absolute peptide quantitation.…”
Section: Discussionmentioning
confidence: 99%