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Several studies describe the spatial arrangement for hundreds or thousands of electrosensory pores in different elasmobranch species [33] [39] but most functional analyses are limited to assessment of dorsal and ventral surface pore distributions in relation mainly to their feeding ecology.
Most functional analyses of these growth factors have been performed on early prostatic morphogenesis.
Most functional analyses of WRKY transcription factors have been restricted to A. thaliana and O. sativa, and few WRKY family members from cotton have been reported previously.
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Most of functional analyses performed on microarray datasets are usually applied to data that were derived from a single microarray platform, where often only the expression of a few genes has been validated experimentally by alternative methods, usually RT-qPCR.
Most notably, functional analyses revealed that two residues in the sea bream Aqp1b C-terminal sequence, Thr229 and Ser, were responsible for sea bream Aqp1b translocation from intracellular vesicles to the oocyte plasma membrane.
Once removed from their native context for the purification that is required for most types of structural or functional analyses, they are prone to denature if not properly stabilized by membrane mimetics.
The subset of candidate genes that co-localized with significant associations in regions of low LD represents the most promising target for future functional analyses.
In functional analyses, the biological functions that were most significant to the dataset were identified.
Although both phenotypic and functional analyses suggested that most GS cells are progenitors without SSC activity, single-cell cloning experiments in our previous study showed that a significant proportion of GS cells maintain a potential to function as SSCs [16].
The computational procedure can therefore be used, for instance, in prioritization of the most promising interactions for follow-up functional analyses or more targeted screening experiments among the exponential number of combinations.
However, it is difficult to draw any conclusions from the findings of previous studies about which of these roles is the most critical for growth suppression, since functional analyses of the checkpoint and E3 ligase activity of CHFR have only been performed independently of each other thus far [1], [22], [27] [29].
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