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To assess the functional role of BRD9 in cancer cell lines, we identified a small-molecule inhibitor of the BRD9 bromodomain.
Through screening of ~5000 M2 lines, we identified 10 Al-sensitive mutants and one Al-resistant mutant ral1 (resistance to aluminum 1).
Among 96 independent transgenic lines, we identified 2 mutants (Additional file 4: Figure S3), suggesting that the 'G' is not absolutely required on the first position of the target sequence driven by the U6 promoter.
Using these cell lines, we identified a goat polyclonal anti-human HGF antibody and a mouse monoclonal anti-human HGF antibody (clone SBF5) that exhibited high specificity.
In addition to FIT3-ITD AML cell lines, we identified a total of 160 MLN518 sensitive sites from 120 proteins in SEM cells, significantly extended our knowledge of FLT3 signaling in ALL.
In this study, through integrated analysis of 22 NSCLC cell lines, we identified high expression levels of total IGF-1R as one potential biomarker of sensitivity to R1507, an anti-IGF-1R antibody.
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Focusing first on parallel lines, we identify the set of parallel lines with minimal path density that contains a set of stable sampling for fields bandlimited to a known set.
Herein, by comparing stem cell differentiation to EBs in Prnp-KO and WT mouse cell lines, we identify the first non-redundant function of PRNP in ESC differentiation during early embryogenesis along with a relationship between the expression of Prnp and that of several key pluripotency markers.
In this manuscript, we present the result of an alternative and more robust method of deriving a gene prognostic signature: using ChIP-seq data from multiple cell lines, we identify a TF's set of gene targets, whose differential expression in patient samples can be used to calculate the TF's regulatory activity in these samples.
Applying chromatin immunoprecipitation coupled with deep sequencing (ChIP-Seq) in the human SGBS pre-adipocyte cell line, we identified genes with binding sites in their vicinity for the three TFs studied, PPARγ, CEBPα and LXR.
Applying microarray expression profiling in the human SGBS pre-adipocyte cell line, we identified genes with differential expression during differentiation in combination with constraint-based modeling of metabolic pathway activity.
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