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We then used global transcriptional profiling to identify transcript levels of ECM constituents that change when a progenitor cell response is mounted in response to liver injury.
Huang et al.[ 15] have identified transcript-level changes implicated in biological dysfunction of energy metabolism and hemostasis in schizophrenia while Yarmishyn et al.[ 16] have pinpointed a non-coding RNA as a novel marker of neuroblastoma progression.
We applied DNA microarray transcription profiling to 48 individual F1 trees from the O3 × R5 cross and identified transcripts with expression levels associated with PM disease and WAA pest resistance phenotypes.
In this resource we have identified transcripts whose expression level changes from developmental stages where robust angiogenesis is occurring, to adult animals where angiogenesis is largely completed.
This approach may be used in future to dissect diverse and overlapping biochemical pathways encompassed by the identified transcripts at individual level.
These newly identified transcripts, expressed at low levels, originated from intergenic regions (3011 'intergenic-TSSCs' originating from 1843 intergenic regions) as well as from within mRNA transcribed regions either in sense (2978 'B-TSSCs' within 1889 mRNAs) or in antisense orientation (1750 'A-TSSCs' antisense to 1186 mRNAs; Supplementary file 1).
To validate MgC-GEP, we identified the transcript levels of 20 genes stimulated with weak acid in S. cerevisiae using the MgC-GEP and real-time RT-PCR, respectively.
We identified lower transcript levels of histone encoding genes in CD34+ cells from CAD patients.
We further identified higher transcript levels of known NMD substrates (SC35 1.6, SC35 1.7, and SMG1) in the cells from the responding sister (Fig 6I).
Our transcript profiling identified DHHC9 transcript levels to be highly upregulated in MSS tumours compared to normal mucosa while GCP16 and N-Ras showed no differential expression in CRC.
This identified transcripts that show similar relative levels of change compared to the control, but does not capture differences in absolute RNA abundance levels between genes.
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