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Keeping an eye on microRNA in retinal degeneration

The field of microRNA research is in a period of inflection. While RNAi and microRNA have been growing in prominence since discoveries by Dr. Craig Melo and Dr. Andy Fire looking at the relationship of small, non-coding RNA with gene expression, there has been a growing sense of the importance of detecting and correlating microRNA… Read article →


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microRNAs in cancer metastasis: potential for therapy and liquid biopsy

For patients with solid tumors, metastatic disease often represents a turning point in their journey. It remains the most significant hurdle in cancer treatment, accounting for 90% of all deaths resulting from solid tumors (1). Research during the past 20 years has begun to elucidate multiple events that take place during metastatic progression. In the… Read article →


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Critical factors for successful molecular analysis of FFPE samples

Formalin fixation and paraffin embedding (FFPE) can impair the quality of nucleic acids obtained from tissue samples. The molecular analysis of FFPE samples is negatively affected by the low quality of analytes from FFPE samples. Taking this into consideration is important when performing successful molecular analyses. In this post, we’ll discuss how FFPE affects RNA… Read article →


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Technology for preservation of nucleic acids and morphology in tissue

Formalin-fixed, paraffin-embedded (FFPE) tissue is the most common specimen available for molecular assays on tissue after diagnostic histopathological examination (1). These tissue samples can also provide valuable sources of stable nucleic acids for research as part of biobanks, but poor recovery and quality of nucleic acids from FFPE tissue specimens often affects the accuracy and… Read article →


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Overcoming coverage bias in single-cell whole genome sequencing (WGS)

Whole genome sequencing starting from one individual cell requires a genomic DNA amplification step before the NGS library preparation. Even technologies like multiple displacement amplification (MDA), proven to be superior in genome coverage (2) and fidelity (3), are not completely bias-free. Uneven genomic coverage, in particular, directly impacts the sensitivity of variant detection in WGA-amplified single… Read article →