Table 2.
Data type | Sequencing technology | Examples | Reference |
---|---|---|---|
Genomics | WGS, WES | Identify agalA mutations determining clinically relevant FD. | [23] |
Perform STK11 genetic screening test and investigate the genotype-phenotype correlation in PJS. | [24] | ||
Transcriptomics | RNA-seq, RT-qPCR | Investigate possible lncRNA biomarkers to differentiate phenotypic severity in MS. | [26] |
Perform qRT-PCR on a set of lncRNAs to identify lncRNAs associated with ENS development in HSCR. | [27] | ||
Assess levels of CASC2 and miR-21 and their interplay in glioma. | [28] | ||
Metabolomics | NMR, MS | Detect lyso-Gb3-related FD biomarkers in urine using mass spectrometry metabolomic approach. | [30] |
Perform metabolomic study to identify novel GD biomarkers. | [31] | ||
Proteomics | MS | Identify gender-specific plasma protein biomarker panels for AFD. | [32] |
Perform serum proteomics profiling in CF patients and healthy subjects. | [33] | ||
Assess proteome changes in peripheral blood mononuclear cells from FD patients and healthy controls. | [34] |
WGS: whole-genome sequencing; WES: whole-exome sequencing; NMR: nuclear magnetic resonance; MR: mass spectrometry