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Why was a stronger anti-correlation observed only for predicted targets of high abundance?
The variation of high abundance miRNAs gradually decreased as the expression level increased.
Here, we evaluate the performance characteristics of these ligands for removal of high abundance plasma proteins.
Removal of high abundance proteins is widely used in sample processing for proteomics studies of blood plasma.
The comparative proteomic workflow involved depletion of high abundance proteins, 2D-DIGE analysis and protein identification by LC-MS/MS.
This study evaluates the CO2 sequestration potential by mineral carbonation of several alkaline industrial byproducts of high abundance, and some of them are landfilled in large part.
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In addition, it is often difficult to detect low-abundant proteins, due to interfering compounds, the masking effects of high-abundance proteins, high levels of salts, and big variations between individuals [ 6].
Significant correlations were not observed in the group of high-abundance proteins (Additional file 4: Figure S3).
Hence, 28S rRNA, RPL30 and ELF-1A can be suitable candidate for data normalization of high-abundance, TUB and B2M for medium-abundance and ACTB for low-abundance mRNA in expression studies in different tissues.
However, we observed a recurrent pattern of over-representation of high-abundance transcripts by the AS methodology as compared to SMS.
Quantification was executed after normalization against a set of ten peptides of high-abundance housekeeping proteins to offset technical variations.
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