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Motivation: RNA-Seq is a method for profiling transcription using high-throughput sequencing and is an important component of many research projects that wish to study transcript isoforms, condition specific expression and transcriptional structure.
In the current study, transcript levels of the A2BR were significantly elevated in both Stage 4 COPD and Severe IPF patients.
In the present study transcript analysis using quantitative real-time PCR was performed directly on nose swabs from persistently colonized healthy individuals.
To confirm UV inactivation in the present study, transcript levels for viral immediate early gene products and RL2 (ICP0) were shown to be absent compared to non-UV inactivated stocks via qRT-PCR (Fig. 1b).
In our study, transcript levels did not correlate with the protein levels.
Following the pilot study, transcript sequences were analyzed in both the normalized and non-normalized cDNA populations using 454 deep sequencing.
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In this study, transcripts encoding an ethylene receptor protein and two ethylene responsive transcription factors were up-regulated.
Design the right probes, says Beechem, and from a single sample, you can study transcript-level interactions between hosts and pathogens, hosts and microbiomes, or tumor cells and the immune cells that respond to them.
A coding framework was developed iteratively by four research team members using study transcripts and researcher notes (Reed and Payton 1997; Patton 2002).
Results of the Q matrix pattern matching shows that researchers, as well as experts in the field, overall rated more skills as necessary, as this could be found within the coding process of think-aloud study transcripts.
In our study, transcripts with no expression in the uninfected condition, but which are induced upon infection, could be considered the most infection-specific and the corresponding genes potentially interesting ones.
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