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In this paper, the electrochemiluminescence (ECL) detection of a tumor marker by using gold silver nanocomposite-functionalized graphene as a sensing platform, which increased the surface area to capture a large number of primary antibodies as well as improving the electronic transmission rate.
Postdoctoral researcher David Ting and colleagues in the lab of cancer geneticist Daniel Haber of Massachusetts General Hospital in Boston found their new marker by using a next-generation sequencing machine to measure the RNA molecules, or transcripts, that are encoded by a cancer cell's DNA.
The rbcL-a region was tested for its utility as a DNA barcode marker by using trimmed rbcL sequences; hence, PCR and sequencing success rates of rbcL-a were not observed.
Allelic data were used to calculate the polymorphism Information Content (PIC) of each SSR marker by using the formula: PIC =1 ∑pi (pi is the frequency of ith allele for each locus) [ 69].
This gene may be enhanced as a phylogenetic marker by using the full-length sequence rather than the shorter region between the TCP and R domain used in this study.
The purity of the nuclear and cytoplasmic protein extracts was evaluated by Western Blot for Histone H3 (as a nuclear protein marker) and GAPDH (as a cytoplasmic protein marker) by using rabbit anti-human GAPDH Antibody (Cell Signaling Technology) and rabbit anti-human Histone H3 Antibody (Cell Signaling Technology) as primary antibodies.
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The test incorporates information from a full set of markers (or a defined subset) within a gene and accounts for linkage disequilibrium between markers by using simulations from the multivariate normal distribution.
(c) We performed correlated meta-analyses for 8 metabolic traits and 6 inflammatory markers by using existing GWAS published genetic summary results, with about 2.5 million SNPs from twelve predominantly largest GWAS consortia.
We began the study of NPC-associated genetic markers by using case-control analysis.
We used several means to generate defined deletion and deletion-insertion mutations leaving behind no DNA scars or antibiotic-resistance markers by using suicide plasmid-based technologies [55], [56] and a two-step recombination method [57].
We selected candidate markers by using gene expression data to identify genes highly expressed in ovarian cancer but not in the rest of the body, as described in Materials and Methods.
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symbol by using
landmark by using
score by using
indicator by using
trace by using
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milestone by using
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marker by beating
marker by scoring
marker by comparing
marker by examining
marker by knocking
marker by becoming
marker by suppressing
marker by winning
marker by splicing
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