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We conclude that the CRAC technique can identify even low abundance targets of the surveillance machinery.
Quantitative MS approaches will also serve to confidently identify lower abundance targets, thus expanding the known repertoire of TgCDPK1 targets.
However, even relatively low abundance targets are well represented in the data set, showing that the CLASH approach is not limited to abundant mRNAs.
Nevertheless, the uniform sampling of transcripts by deep sequencing considerably limits the precision achievable by RNA-Seq for low abundance targets.
Based on our findings, targets at a low abundance may only be detectable by particles at relatively low shear stress, while higher abundance targets may be detected across a broader range of shear stress conditions.
Assays with very low abundance targets Ct > 37.4 (4% of cortex samples, 15% of hipocampal samples) were judged not abundant enough for precise quantification and were assigned an expression value of zero.
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Our results might be specific to the protein kinase family we have investigated but suggest the need for improved methods for the more rapid recovery of low abundance target proteins and their interacting proteins.
DOI: http://dx.doi.org/10.7554/eLife.03640.017 To obtain more direct evidence for the readthrough-dependent low abundance targeting of human LDHB to peroxisomes, we analyzed untransfected wild-type cells by immunofluorescence with anti-LDHB and anti-PEX14 antibodies.
Our transcribed genome array (TGA) assayed both rare and abundant transcripts with equivalent proficiency, revealing hundreds of low-abundance targets missed by previous approaches.
Moreover, we suspected that abundant and/or hyper-reactive proteins may have bound 2 nonspecifically, obscuring specific, low-abundance targets in the gel-based analysis.
In this third pass, we can use longer spectrum acquisition times, up to several minutes, to collect statistically well defined MS3 spectra from low-abundance targets.
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