Optimization of label-free nano LC-MS/MS analysis of the placental proteome

Placenta ◽  
2020 ◽  
Vol 101 ◽  
pp. 159-162
Author(s):  
Leen J. Luyten ◽  
Marc Dieu ◽  
Catherine Demazy ◽  
Maude Fransolet ◽  
Tim S. Nawrot ◽  
...  
Keyword(s):  
2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Salvatore Cappadona ◽  
Paolo Nanni ◽  
Marco Benevento ◽  
Fredrik Levander ◽  
Piera Versura ◽  
...  

Label-free LC-MS analysis allows determining the differential expression level of proteins in multiple samples, without the use of stable isotopes. This technique is based on the direct comparison of multiple runs, obtained by continuous detection in MS mode. Only differentially expressed peptides are selected for further fragmentation, thus avoiding the bias toward abundant peptides typical of data-dependent tandem MS. The computational framework includes detection, alignment, normalization and matching of peaks across multiple sets, and several software packages are available to address these processing steps. Yet, more care should be taken to improve the quality of the LC-MS maps entering the pipeline, as this parameter severely affects the results of all downstream analyses. In this paper we show how the inclusion of a preprocessing step of background subtraction in a common laboratory pipeline can lead to an enhanced inclusion list of peptides selected for fragmentation and consequently to better protein identification.


PROTEOMICS ◽  
2012 ◽  
Vol 12 (12) ◽  
pp. 1928-1937 ◽  
Author(s):  
Kerry M. Bauer ◽  
Paul A. Lambert ◽  
Amanda B. Hummon

2015 ◽  
Vol 51 (22) ◽  
pp. 4701-4703 ◽  
Author(s):  
Dandan Li ◽  
You-Jun Fu ◽  
James F. Rusling

A label-free metabolite–protein adduct detection and identification method was developed using magnetic beads coated with metabolic enzymes as bioreactors to generate metabolite–protein adducts for LC-MS/MS analysis.


2021 ◽  
Vol 27 ◽  
Author(s):  
Sophia C. Rossouw ◽  
Hocine Bendou ◽  
Renette J. Blignaut ◽  
Liam Bell ◽  
Jonathan Rigby ◽  
...  

To elucidate cancer pathogenesis and its mechanisms at the molecular level, the collecting and characterization of large individual patient tissue cohorts are required. Since most pathology institutes routinely preserve biopsy tissues by standardized methods of formalin fixation and paraffin embedment, these archived FFPE tissues are important collections of pathology material that include patient metadata, such as medical history and treatments. FFPE blocks can be stored under ambient conditions for decades, while retaining cellular morphology, due to modifications induced by formalin. However, the effect of long-term storage, at resource-limited institutions in developing countries, on extractable protein quantity/quality has not yet been investigated. In addition, the optimal sample preparation techniques required for accurate and reproducible results from label-free LC-MS/MS analysis across block ages remains unclear. This study investigated protein extraction efficiency of 1, 5, and 10-year old human colorectal carcinoma resection tissue and assessed three different gel-free protein purification methods for label-free LC-MS/MS analysis. A sample size of n = 17 patients per experimental group (with experiment power = 0.7 and α = 0.05, resulting in 70% confidence level) was selected. Data were evaluated in terms of protein concentration extracted, peptide/protein identifications, method reproducibility and efficiency, sample proteome integrity (due to storage time), as well as protein/peptide distribution according to biological processes, cellular components, and physicochemical properties. Data are available via ProteomeXchange with identifier PXD017198. The results indicate that the amount of protein extracted is significantly dependent on block age (p < 0.0001), with older blocks yielding less protein than newer blocks. Detergent removal plates were the most efficient and overall reproducible protein purification method with regard to number of peptide and protein identifications, followed by the MagReSyn® SP3/HILIC method (with on-bead enzymatic digestion), and lastly the acetone precipitation and formic acid resolubilization method. Overall, the results indicate that long-term storage of FFPE tissues (as measured by methionine oxidation) does not considerably interfere with retrospective proteomic analysis (p > 0.1). Block age mainly affects initial protein extraction yields and does not extensively impact on subsequent label-free LC-MS/MS analysis results.


2014 ◽  
Vol 14 (2) ◽  
pp. 676-687 ◽  
Author(s):  
Aakash Chawade ◽  
Marianne Sandin ◽  
Johan Teleman ◽  
Johan Malmström ◽  
Fredrik Levander

2012 ◽  
Vol 13 (S16) ◽  
Author(s):  
Yuliya V Karpievitch ◽  
Alan R Dabney ◽  
Richard D Smith

2019 ◽  
Vol 24 (4) ◽  
pp. 386-393 ◽  
Author(s):  
Tom Bretschneider ◽  
Can Ozbal ◽  
Markus Holstein ◽  
Martin Winter ◽  
Frank H. Buettner ◽  
...  

Label-free in vitro potency assays are an emerging field in drug discovery to enable more physiological conditions, to improve the readout quality, and to save time. For this approach mass spectrometry (MS) is a powerful technology to directly follow physiological processes. The speed of this methodology, however, was for a long time not compatible with chemiluminescence- or fluorescence-based assays. Recent advances in matrix-assisted laser desorption/ionization (MALDI) instrumentation paved the way for high-throughput MS analysis of label-free assays for large compound libraries, whereas electrospray ionization (ESI)-based mass spectrometers equipped with RapidFire autosamplers were limited to medium throughput. Here we present a technological advancement of the RapidFire device to enable cycle times of 2.5 s per sample. This newly developed BLAZE-mode substantially boosted the ESI-MS analysis speed, providing an alternative technology for label-free high-throughput screening.


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