RNA Quality in Post-mortem Human Brain Tissue Is Affected by Alzheimer’s Disease

Gene expression studies of human post-mortem brain tissue are useful for understanding the pathogenesis of neurodegenerative disease. These studies rely on the assumption that RNA quality is consistent between disease and neurologically normal cases; however, previous studies have suggested that RNA quality may be affected by neurodegenerative disease. Here, we compared RNA quality in human post-mortem brain tissue between neurologically normal cases (n = 14) and neurodegenerative disease cases (Alzheimer’s disease n = 10; Parkinson’s disease n = 11; and Huntington’s disease n = 9) in regions affected by pathology and regions that are relatively devoid of pathology. We identified a statistically significant decrease in RNA integrity number (RIN) in Alzheimer’s disease tissue relative to neurologically normal tissue (mixed effects model, p = 0.04). There were no statistically significant differences between neurologically normal cases and Parkinson’s disease or Huntington’s disease cases. Next, we investigated whether total RNA quality affected mRNA quantification, by correlating RIN with qPCR threshold cycle (CT). CT values for all six genes investigated were strongly correlated with RIN (p < 0.05, Pearson correlation); this effect was only partially mitigated by normalization to RPL30. Our results indicate that RNA quality is decreased in Alzheimer’s disease tissue. We recommend that RIN should be considered when this tissue is used in gene expression analyses.

Immunomagnetic B cell isolation as a tool to study blood cell subsets and enrich B cell transcripts

Objective Transcriptional profiling of immune cells is an indispensable tool in biomedical research; however, heterogenous sample types routinely used in transcriptomic studies may mask important cell type-specific transcriptional differences. Techniques to isolate desired cell types are used to overcome this limitation. We sought to evaluate the use of immunomagnetic B cell isolation on RNA quality and transcriptional output. Additionally, we aimed to develop a B cell gene signature representative of a freshly isolated B cell population to be used as a tool to verify isolation efficacy and to provide a transcriptional standard for evaluating maintenance or deviation from traditional B cell identity. Results We found RNA quality and RNA-sequencing output to be comparable between donor-matched PBMC, whole blood, and B cells following negative selection by immunomagnetic B cell isolation. Transcriptional analysis enabled the development of an 85 gene B cell signature. This signature effectively clustered isolated B cells from heterogeneous sample types in our study and naïve and memory B cells when applied to transcriptional data from a published source. Additionally, by identifying B cell signature genes whose functional role in B cells is currently unknown, our gene signature has uncovered areas for future investigation.

RNA Quality Control Non-Denaturing Agarose "Bleach" Gel v1

To evaluate the quality of RNA without the use of toxic chemicals, samples are run in a non-denaturing agarose "bleach" gel and product segregation is used to estimate RNA integrity. Be aware that in a non-denaturing gel, the RNA will not segregate strictly on particle size due to secondary structures of the molecules. This method is for an estimation of quality only and the location of the banding in relation to a base pair ladder does not allow confident determination of the size of the RNA fragment. If true fragment size determinations are required, RNA quality should be evaluated on a denaturing gel electrophoresis system.

Comparing RNA extraction methods to face the variations in RNA quality using two human biological matrices.

Nucleic acids, RNA among them, are widely used in biomedicine. Because of their susceptibility to degradation by RNases, the handling and extraction process of RNA from cells and tissues require specialized personnel and standardized methods to guarantee high purity and integrity. Due to the diversity of techniques found in the market, a comparative study between different RNA extraction methods is useful to facilitate the best choice for the researcher. In this study, we have compared seven different RNA extraction methods: manual (TRIzol™), semiautomated (QIAGEN™, Bio-Rad, Monarch®, and Canvax™), and fully automated (QIAcube™ and Maxwell®) processes, from two biological matrices: human Jurkat T cells and peripheral blood mononuclear cells (PBMC). Results showed marked differences in the RNA quality and functionality according to the method employed for RNA extraction and the matrix used. These data contribute to facilitate researchers in decision-making practices and emphasize the relevance of the selection of the RNA extraction method in each experimental procedure to guarantee both quality standards and its reproducibility.

Effects of processing, storage time, and tissue volume in the retrieval and quality of RNA and the expression level of RNU6

Background: Molecular analyses of tumor RNA expression have become widely used both for research and clinical purposes. Tumoral tissue preservation is a critical step to ensure accuracy of molecular-based diagnostics, for which, formalin-fixed and paraffin-embedded (FFPE) tissues represent a valuable source of clinical samples. MicroRNAs are ideal biomarkers in FFPE-tissues, in whose expression evaluation RNU6 is one of the genes used as a normalizer. Our aim was to determine, in FFPE tissue samples, the effects of length of storage and corresponding volume of each studied sample, on the RNA retrieval, quality and concentration, as well as their correlation to the expression level of RNU6. Methods: Fifty tissue blocks with a mean length of tissue storage of 30 months (SD=±12.07, 95% CI= 27.4-34.3). were included. Total RNA was isolated, absorbance and concentrations were determined and correlated with length of storage and volume of tissue. RT-qPCR for RNU6 was performed and their Ct results were correlated to the same parameters. Results: There was a direct correlation between the concentration and quality of the obtained RNA, and an inverse correlation between the tissue storage time and the RNA quality. The volume of tissue studied was not correlated with the RNA quality or concentration. The RNA quality and the length of tissue storage directly correlated to the RNU6 expression level, while RNA concentration and the volume of tissue studied did not affect it. Conclusions: There is an association between longer FFPE tissue storage time with lower RNA quality and lower RNU6 expression level.

Optimization of Cell-free Plasma RNA Extraction for Downstream Application

The growing interest in biomedical studies has brought RNA from biofluids including plasma, as promising candidates for genetics profiling. The precision and reliability of an analysis in downstream application such as NanoString nCounter® MAX Analysis System (NanoString Technologies, Seattle, WA) ) depend on the RNA quality, purity and level. In this project, NanoString nCounter® miRNA panel was chosen due to rapid identification and ability to profile approximately 800 miRNAs per run which requires total RNAs from plasma with a minimum concentration of 33.3 ng/μL with 260/280 and 260/230 ratios of ≥1.8 for optimal results. Unlike tissues and cells, circulating RNAs in plasma are cell-free and are present in small sizes. However, the abundance of proteins and inhibitors in the plasma as possible contaminants could diminish the effectiveness of molecular isolation techniques and pose challenges in RNA isolation and quantification. This could skew data collection and elucidation. Therefore, the main objective is to determine the optimized plasma RNA isolation protocol to overcome problems in RNA quality and purity with regards NanoString nCounter® MAX Analysis System requirement. Several optimization steps were performed, including the addition of one chloroform extraction step with extra washing steps instead of conducting only once following the actual protocol. After conducting these steps, the average 260/280 ratio falls between 1.7 to 1.8, slightly increased compared to the results before optimization which was around 1.4 to 1.6 since these steps of optimization help to remove excess impurities including phenol and salt. Furthermore, increasing the incubation time in certain steps, for instance, after sample homogenization with Qiazol, during 95% ethanol precipitation and after RNase-free water addition have boosted the RNA recovery allowing RNA concentration of 15 ng/μL and above to be obtained. Hence, the optimized plasma RNA isolation protocol was determined since several issues related to plasma RNA concentration and purity were significantly improved by performing the additional steps in the protocol.

Cauliflower Mosaic Virus Utilizes Processing Bodies to Escape Translational Repression in Arabidopsis

Viral infections impose extraordinary RNA stress on a cell, triggering cellular RNA surveillance pathways like RNA decapping, nonsense-mediated decay and RNA silencing. Viruses need to maneuver between these pathways to establish infection and succeed in producing high amounts of viral proteins. Processing bodies (PBs) are integral to RNA triage in eukaryotic cells with several distinct RNA quality control pathways converging for selective RNA regulation. In this study, we investigate the role of Arabidopsis thaliana PBs during Cauliflower Mosaic Virus (CaMV) infection. We find that several PB components are co-opted into viral replication factories and support virus multiplication. This pro-viral role was not associated with RNA decay pathways but instead, we could establish PB components as essential helpers in viral RNA translation. While CaMV is normally resilient to RNA silencing, PB dysfunctions expose the virus to this pathway, similar to previous observations on transgenes. Transgenes, however, undergo RNA Quality Control dependent RNA degradation, whereas CaMV RNA remains stable but becomes translationally repressed through decreased ribosome association, revealing a unique dependence between PBs, RNA silencing and translational repression. Together, our study shows that PB components are co-opted by the virus to maintain efficient translation, a mechanism not associated with canonical PB functions.

Evaluation of RNA quality and functional transcriptome of beef longissimus thoracis over time post-mortem

Evaluating RNA quality and transcriptomic profile of beef muscle over time post-mortem may provide insight into RNA degradation and underlying biological and functional mechanisms that accompany biochemical changes occurring post-mortem during transformation of muscle to meat. RNA was extracted from longissimus thoracis (LT) sampled from British Continental crossbred heifer carcasses (n = 7) stored at 4°C in an abattoir drip cooler at 5 time points post-mortem, i.e., 45 min (0 h), 6 h, 24 h, 48 h, and 72 h. Following RNA-Sequencing, processed reads were aligned to the ARS-UCD1.2 bovine genome assembly. Subsequent differential expression (DE) analysis identified from 51 to 1434 upregulated and 27 to 2256 downregulated DE genes at individual time points compared to time 0 h, showing a trend for increasing counts of both upregulated and downregulated genes over time. Gene ontology and biological pathway term enrichment analyses on sets of DE genes revealed several processes and their timelines of activation/deactivation that accompanied or were involved with muscle transformation to meat. Although the quality of RNA in refrigerated LT remained high for several days post-mortem, the expression levels of several known biomarker genes for meat quality began to change from 24 h onwards. Therefore, to ensure accuracy of predictions on meat quality traits based on the expression levels of those biomarker genes in refrigerated beef muscle tissue, it is crucial that those expression measurements be made on RNA sampled within 24 h post-mortem. The present study also highlighted the need for more research on the roles of mitochondrial genes and non-coding genes in orchestrating muscle tissue processes after death, and how pre-mortem immune status might influence post-mortem meat quality.