Review Publications

Single-cell RNA-seq: advances and future challenges

rna-seq

Phenotypically identical cells can dramatically vary with respect to behavior during their lifespan and this variation is reflected in their molecular composition such as the transcriptomic landscape. Single-cell transcriptomics using next-generation transcript sequencing (RNA-seq) is now emerging as a powerful ...

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Detecting and characterizing circular RNAs

rna-seq

Circular RNA transcripts were first identified in the early 1990s but knowledge of these species has remained limited, as their study through traditional methods of RNA analysis has been difficult. Now, novel bioinformatic approaches coupled with biochemical enrichment strategies and ...

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RNA Sequencing Methods

rna-seq

Technological advances in the sequencing field support in-depth characterization of the transcriptome. There are now many  genome-wide RNA sequencing methods used to investigate specific aspects of gene expression and its regulation, from transcription to RNA processing and translation: With the ...

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Cost comparison for qRT-PCR and RNA-Seq

rna-seq

Gene expression studies are widely diffused in life science research. So far, the most popular techniques adopted for transcript quantification are Northern blot, reverse transcription polymerase chain reaction (RT-PCR), reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR), microarrays, and RNA ...

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RNA-specific temporal dynamic methods still in infancy

rna-seq

Interpreting gene expression profiles often involves statistical analysis of large numbers of differentially expressed genes, isoforms, and alternative splicing events at either static or dynamic spectrums. Reduced sequencing costs have made feasible dense time-series analysis of gene expression using RNA-seq; ...

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