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Progress has been made in developing a method for analysing epigenetic hereditary profiles in gene transcription.
As a first step, therefore, in helping to elucidate the nature of these hereditary profiles, the current investigation was aimed at determining which factors modulate deviations from the mean transcription profile of the proteasomal genes in normal tissues.
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A taste for bean curd therefore seems stitched into the hereditary profile of many Chinese and Japanese people, just as a fondness for foods made from rotten milk is in mine.
Genetic predisposition is a well-documented risk factors for PE [ 21, 22]; however, although several genes have been postulated as genetic susceptibility markers of the disease [ 21- 24], there is not a recognized hereditary profile to explain the association [ 21].
Especially if the foregoing paper on "epigenetic hereditary transcription profiles" was missed difficulty in understanding could arise.
Consequently it is conceivable that studying "Epigenetic Hereditary Transcription Profiles" will lead to further insights about the phenomenon of nuclear programming.
In addition, the method described in this paper can identify tissues that differ widely in hereditary transcription profiles of the proteasome genes and which might thus be helpful in elucidating the nature of the underlying epigenetic hereditary structure.
Since the first observations on epigenetic hereditary transcription profiles were made using SAGE data and the present ones with micro arrays one wonders to what extent these data are interchangeable.
"Epigenetic Hereditary Transcription Profiles" might therefore be a manifestation of the nuclear programming that is known to occur in cells and might be a tool in the study of nuclear programming.
As this paper is a sequel to an earlier paper on "Epigenetic Hereditary Transcription Profiles" a reference was made to this paper both for the rationale of the choice of the 14 genes of the 20S proteasome and for the use of the "mean transcription profile" as tool.
Clustering analysis revealed heterogeneous miRNA profiles among hereditary breast tumours that were separated in two main branches.
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