Anti-GFM1 (aa 581-742) polyclonal antibody

Pathogenic GFM1 variants have been linked to neurological phenotypes with or without liver involvement, but only a few cases have been reported in the literature. Here, we report clinical, biochemical, and neuroimaging findings from nine unrelated children carrying GFM1 variants, 10 of which were not previously reported. All patients presented with neurological involvement-mainly axial hypotonia and dystonia during the neonatal period-with five diagnosed with West syndrome; two children had liver involvement with cytolysis episodes or hepatic failure. While two patients died in infancy, six exhibited a stable clinical course. Brain magnetic resonance imaging showed the involvement of basal ganglia, brainstem, and periventricular white matter. Mutant EFG1 and OXPHOS proteins were decreased in patient's fibroblasts consistent with impaired mitochondrial translation. Thus, we expand the genetic spectrum of GFM1-linked disease and provide detailed clinical profiles of the patients that will improve the diagnostic success for other patients carrying GFM1 mutations.

High-throughput sequencing has identified a large number of sense-antisense transcriptional pairs, which indicates that these genes were transcribed from both directions. Recent reports have demonstrated that many antisense RNAs, especially IncRNA (long non-coding RNA), can interact with the sense RNA by forming an RNA duplex. Many methods, such as RNA-sequencing, Northern blotting, RNase protection assays and strand-specific PCR, can be used to detect the anti sense transcript and gene transcriptional orientation. However, the applications of these methods have been constrained, to some extent, because of the high cost, difficult operation or inaccuracy, especially regarding the analysis of substantial amounts of data. Thus, we developed an easy method to detect and validate these complicated RNAs. We primarily took advantage of the strand specificity of RT-PCR and the single-strand specificity of S1 endonuclease to analyze sense and antisense transcripts. Four known genes, including mouse beta-actin and Tsix (Xist antisense RNA), chicken LXN (latexin) and GFM1 (G elongation factor, mitochondrial 1), were used to establish the method. These four genes were well studied and transcribed from positive strand, negative strand or both strands of DNA, respectively, which represented all possible cases. The results indicated that the method can easily distinguish sense, antisense and sense-antisense transcriptional pairs. In addition, it can be used to verify the results of high-throughput sequencing, as well as to analyze the regulatory mechanisms between RNAs. This method can improve the accuracy of detection and can be mainly used in analyzing single gene and was low cost.