Editor letter for “Exploring the transcriptome of ciliated cells using in silico dissection of human tissues”
S1234862 Huayu Zhang
In the current study, Ivliev et al. explored 12 large data sets from GEO containing the transcriptomic information of brains, airways, and reproductive tracts. The data sets were analyzed to obtain the coexpression modules and these modules are further merged with golden standard ciliary protein expression sets to get the enriched modules with ciliary markers. The enriched modules were subscribed to consensus module generation and differential coexpression analysis. In the process, 74 novel cilia-related genes were identified. Additionally, annotations of the genes revealed the potential involvement of
DCDC2, DYX1C1, and KIAA0319 genes in dyslexia and the colocalization of MATE2 gene in the cilia.
Though the high through-put technologies provide informative descriptions about human genomics and transcriptomics, the interpretation of the information in a large scale is needed to further annotate the information functionally and biologically. The article acceptably fits the scope of Genome Biology in the way that it is the first one to provide deeper insight of the cilia-related gene profile using bioinformatics methods. But the novelty and significant need to be further determined to decide whether it is appropriate to be published in Genome Biology .
The potential reviewer list:
Crystal RG
Walters MS
Hackett NR