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Torimura et al. characterised expression of Ang-1, Ang-2 and Tie2 receptors in HCC cell lines (HLE and HuH-7) and human HCC cases [ 130].
We characterised expression of thirty-one macrophage/microglial phenotype markers in primary microglia over time (4, 12, 36, and 72 h), using RT-qPCR or multiplex protein assay.
To examine this, we characterised expression of the xc− transporter in pancreatic cancer cell lines, MIA PaCa-2, PANC-1 and BxPC-3, as subjected to cystine-depletion and oxidative stress.
To test the hypothesis that MUC4 and MUC5AC are tumour-associated mucins in BTC, we characterised expression of MUC4, MUC5AC and MUC5B (present in normal biliary epithelium) by immunohistochemistry in archival biliary tissue and by western blotting and real-time reverse transcriptase polymerase chain reaction (rt RT PCR) in bile and serum samples.
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Initially, in order to characterise expression divergence between the accessions selected in this study, the number of differentially expressed genes between pairs of accessions was estimated (Cvi versus Col and Bur versus Col).
These two observations show the need to characterise expression further with other, more precise methods, such as real time PCR.
In order to identify and characterise expression of contigs on a tissue-specific basis, reads from different libraries were aligned to the genotype-specific assemblies.
Therefore, we first sought to characterise expression of components of the IGF-IR signalling system in this series of T47D breast cancer cell lines.
The identification of brain-related miRNAs by our deep sequencing analysis shows that the dataset is reliable not only for characterising expression profiles of known miRNAs but also for discovery of novel miRNAs.
A fully automated, robust and cost effective method was developed for the purification of proteins that can be used to quickly characterise expression clones in high throughput and to produce large numbers of proteins for functional studies.
The first objective of this study was to characterise expression patterns of the key gene families associated with insecticide resistance across the major organs linked to xenobiotic detoxification in insects, with a particular focus on the P450s.
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