RNA Isolation Methods Research Articles

High-quality human and rat spermatozoal RNA isolation for functional genomic studies.

Sperm RNA is a sensitive monitoring endpoint for male reproductive toxicants, and a potential biomarker to assess male infertility and sperm quality. However, isolation of sperm RNA is a challenging procedure due to the heterogeneous population of cells present in the ejaculate, the low yield of RNA per spermatozoon, and the absence of 18S and 28S ribosomal RNA subunits. The unique biology of spermatozoa has created some uncertainty in the field about RNA isolation methods, indicating the need for rigorous quality control checks to ensure reproducibility of data generated from sperm RNA. Therefore, we developed a reliable and effective protocol for RNA isolation from rat and human spermatozoa that delivers highly purified and intact RNA, verified using RNA-specific electrophoretic chips and molecular biology approaches such as RT-PCR and Western blot analysis. The sperm RNA isolation technique was optimized using rat spermatozoa and then adapted to human spermatozoa. Three steps in the sperm isolation procedure, epididymal fluid collection, sperm purification, and spermatozoon RNA extraction, were evaluated and assessed. The sperm RNA extraction methodology consists of collection of rat epididymal fluid with repeated needle punctures of the epididymis, somatic cell elimination using detergent-based somatic cell lysis buffer (SCLB) and the use of RNA isolation Kit. Rat sperm heads are more resistant to disruption than human spermatozoa, necessitating the addition of mechanical lysis with microbeads and heat in the rat protocol, whereas the human sperm protocol only required lysis buffer. In conclusion, this methodology results in reliable and consistent isolation of high-quality sperm RNA. Using this technique will aid in translation of data collected from animal models, and reproducibility of clinical assessment of male factor fertility using RNA molecular biomarkers.

Demodifying RNA for Transcriptomic Analyses of Archival Formalin-Fixed Paraffin-Embedded Samples.

Archival formalin-fixed paraffin-embedded (FFPE) tissue samples offer a vast but largely untapped resource for genomic research. The primary technical issues limiting use of FFPE samples are RNA yield and quality. In this study, we evaluated methods to demodify RNA highly fragmented and crosslinked by formalin fixation. Primary endpoints were RNA recovery, RNA-sequencing quality metrics, and transcriptional responses to a reference chemical (phenobarbital, PB). Frozen mouse liver samples from control and PB groups (n = 6/group) were divided and preserved for 3 months as follows: frozen (FR); 70% ethanol (OH); 10% buffered formalin for 18 h followed by ethanol (18F); or 10% buffered formalin (3F). Samples from OH, 18F, and 3F groups were processed to FFPE blocks and sectioned for RNA isolation. Additional sections from 3F received the following demodification protocols to mitigate RNA damage: short heated incubation with Tris-Acetate-EDTA buffer; overnight heated incubation with an organocatalyst using 2 different isolation kits; or overnight heated incubation without organocatalyst. Ribo-depleted, stranded, total RNA libraries were built and sequenced using the Illumina HiSeq 2500 platform. Overnight incubation (± organocatalyst) increased RNA yield >3-fold and RNA integrity numbers and fragment analysis values by > 1.5- and >3.0-fold, respectively, versus 3F. Postsequencing metrics also showed reduced bias in gene coverage and deletion rates for overnight incubation groups. All demodification groups had increased overlap for differentially expressed genes (77%-84%) and enriched pathways (91%-97%) with FR, with the highest overlap in the organocatalyst groups. These results demonstrate simple changes in RNA isolation methods that can enhance genomic analyses of FFPE samples.

SIDR: simultaneous isolation and parallel sequencing of genomic DNA and total RNA from single cells.

Simultaneous sequencing of the genome and transcriptome at the single-cell level is a powerful tool for characterizing genomic and transcriptomic variation and revealing correlative relationships. However, it remains technically challenging to analyze both the genome and transcriptome in the same cell. Here, we report a novel method for simultaneous isolation of genomic DNA and total RNA (SIDR) from single cells, achieving high recovery rates with minimal cross-contamination, as is crucial for accurate description and integration of the single-cell genome and transcriptome. For reliable and efficient separation of genomic DNA and total RNA from single cells, the method uses hypotonic lysis to preserve nuclear lamina integrity and subsequently captures the cell lysate using antibody-conjugated magnetic microbeads. Evaluating the performance of this method using real-time PCR demonstrated that it efficiently recovered genomic DNA and total RNA. Thorough data quality assessments showed that DNA and RNA simultaneously fractionated by the SIDR method were suitable for genome and transcriptome sequencing analysis at the single-cell level. The integration of single-cell genome and transcriptome sequencing by SIDR (SIDR-seq) showed that genetic alterations, such as copy-number and single-nucleotide variations, were more accurately captured by single-cell SIDR-seq compared with conventional single-cell RNA-seq, although copy-number variations positively correlated with the corresponding gene expression levels. These results suggest that SIDR-seq is potentially a powerful tool to reveal genetic heterogeneity and phenotypic information inferred from gene expression patterns at the single-cell level.

Total rRNA-Seq Analysis Gives Insight into Bacterial, Fungal, Protozoal and Archaeal Communities in the Rumen Using an Optimized RNA Isolation Method.

Advances in high throughput, next generation sequencing technologies have allowed an in-depth examination of biological environments and phenomena, and are particularly useful for culture-independent microbial community studies. Recently the use of RNA for metatranscriptomic studies has been used to elucidate the role of active microbes in the environment. Extraction of RNA of appropriate quality is critical in these experiments and TRIzol reagent is often used for maintaining stability of RNA molecules during extraction. However, for studies using rumen content there is no consensus on (1) the amount of rumen digesta to use or (2) the amount of TRIzol reagent to be used in RNA extraction procedures. This study evaluated the effect of using various quantities of ground rumen digesta and of TRIzol reagent on the yield and quality of extracted RNA. It also investigated the possibility of using lower masses of solid-phase rumen digesta and lower amounts of TRIzol reagent than is used currently, for extraction of RNA for metatranscriptomic studies. We found that high quality RNA could be isolated from 2 g of ground rumen digesta sample, whilst using 0.6 g of ground matter for RNA extraction and using 3 mL (a 5:1 TRIzol : extraction mass ratio) of TRIzol reagent. This represents a significant savings in the cost of RNA isolation. These lower masses and volumes were then applied in the RNA-Seq analysis of solid-phase rumen samples obtained from 6 Angus X Hereford beef heifers which had been fed a high forage diet (comprised of barley straw in a forage-to-concentrate ratio of 70:30) for 102 days. A bioinformatics analysis pipeline was developed in-house that generated relative abundance values of archaea, protozoa, fungi and bacteria in the rumen and also allowed the extraction of individual rRNA variable regions that could be analyzed in downstream molecular ecology programs. The average relative abundances of rRNA transcripts of archaea, bacteria, protozoa and fungi in our samples were 1.4 ± 0.06, 44.16 ± 1.55, 35.38 ± 1.64, and 16.37 ± 0.65% respectively. This represents the first study to define the relative active contributions of these populations to the rumen ecosystem and is especially important in defining the role of the anaerobic fungi and protozoa.

Microaspiration of Solanum tuberosum root cells at early stages of infection by Globodera pallida

BackgroundSedentary endoparasitic cyst nematodes form a feeding structure in plant roots, called a syncytium. Syncytium formation involves extensive transcriptional modifications, which leads to cell modifications such as increased cytoplasmic streaming, enlarged nuclei, increased numbers of organelles, and replacement of a central vacuole by many small vacuoles. When whole root RNA is isolated and analyzed, transcript changes manifested in the infected plant cells are overshadowed by gene expression from cells of the entire root system. Use of microaspiration allows isolation of the content of nematode infected cells from a heterogeneous cell population. However, one challenge with this method is identifying the nematode infected cells under the microscope at early stages of infection. This problem was addressed by staining nematode juveniles with a fluorescent dye prior to infection so that the infected cells could be located and microaspirated.ResultsIn the present study, we used the fluorescent vital stain PKH26 coupled with a micro-rhizosphere chamber to locate the infected nematode Globodera pallida in Solanum tuberosum root cells. This enabled microaspiration of nematode-infected root cells during the early stages of parasitism. To study the transcriptional events occurring in these cells, an RNA isolation method from microaspirated samples was optimized, and subsequently the RNA was purified using magnetic beads. With this method, we obtained an RNA quality number of 7.8. For transcriptome studies, cDNA was synthesized from the isolated RNA and assessed by successfully amplifying several pathogenesis related protein coding genes.ConclusionThe use of PKH26 stained nematode juveniles enabled early detection of nematode infected cells for microaspiration. To investigate transcriptional changes in low yielding RNA samples, bead-based RNA extraction procedures minimized RNA degradation and provided high quality RNA. This protocol provides a robust procedure to analyze gene expression in nematode-infected cells.

A disposable lab-on-a-chip platform for highly efficient RNA isolation

Despite recent advances in lab-on-a-chip (LOC) technology, RNA-based miniaturized diagnostic platforms have been falling behind due to a lack of on-chip RNA isolation techniques. However, RNA analysis plays an important role in gene expression determination and pathogen detection. To meet the increasing need for the analysis of RNA with point-of-care (POC) testing, a reliable LOC platform for RNA isolation needs to be developed. Here, we present a method of RNA isolation using a LOC platform that provides high-quality RNA from a variety of biological samples. By taking advantage of pH-dependent reversible dimethyl adipimidate (DMA) binding to RNA, we were able to perform RNA isolation on a disposable LOC platform within 30min without the need for chaotropic salts or solvent. Using this LOC platform, gene expression analyses were successfully carried out with RNA isolated from different cell lines (HEK293, Caco-2, MCF-7, and T24) by subsequent real-time reverse transcription PCR. In addition, we validated the utility of this LOC platform with viral RNA isolated from Dengue viruses (DENV-1, −2, −4). We demonstrated a high recovery rate and rapid processing with minimal contamination. Therefore, this novel method could be an ideal RNA isolation technique in gene expression research and for the diagnosis of infectious diseases caused by RNA viruses in POC testing.

A rapid silica spin column-based method of RNA extraction from fruit trees for RT-PCR detection of viruses

Efficient recovery of high quality RNA is very important for successful RT-PCR detection of plant RNA viruses. High levels of polyphenols and polysaccharides in plant tissues can irreversibly bind to and/or co-precipitate with RNA, which influences RNA isolation. In this study, a silica spin column-based RNA isolation method was developed by using commercially available silica columns combined with the application of a tissue lysis solution, and binding and washing buffers with high concentration guanidinium thiocyanate (GuSCN, 50% w/v), which helps remove plant proteins, polysaccharides and polyphenolic compounds. The method was successfully used to extract high quality RNA from citrus (Citrus aurantifolia), grapevine (Vitis vinifera), peach (Prunus persica), pear (Pyrus spp.), taro (Colocosia esculenta) and tobacco (Nicotiana benthamiana) samples. The method was comparable to conventional CTAB method in RNA isolation efficiency, but it was more sample-adaptable and cost-effective than commercial kits. High quality RNA isolated using silica spin column-based method was successfully used for the RT-PCR and/or multiplex RT-PCR amplification of woody fruit tree viruses and a viroid. The study provided a useful tool for the detection and characterization of plant viruses.

An improved method for RNA extraction from common bean seeds and validation of reference genes for qPCR

An RNA extraction method with high integrity and purity as well as the selection of adequate reference genes are prerequisites for gene expression analysis. For common bean seeds, there is no well-defined protocol that can be used in a laboratory routine for gene expression analysis. In this study, an extraction protocol for RNA from common bean seeds, which produced material with good integrity for qPCR (RIN ≥ 6.5), was optimized. In addition, 10 reference genes were evaluated under qPCR standard conditions using different tissue samples of common beans. Gene stabilities were analyzed using the delta-CT method, Bestkeeper, NormFinder and geNorm approaches. The genes β-tubulin and T197 were ranked as the most stable among the sample sets evaluated with different tissue samples, while PvAct and Pv18S were the least stable. To our knowledge, this is the first study evaluating RNA isolation methods and reference gene selection for seeds of Phaseolus vulgaris.

High-purity circular RNA isolation method (RPAD) reveals vast collection of intronic circRNAs.

High-throughput RNA sequencing methods coupled with specialized bioinformatic analyses have recently uncovered tens of thousands of unique circular (circ)RNAs, but their complete sequences, genes of origin and functions are largely unknown. Given that circRNAs lack free ends and are thus relatively stable, their association with microRNAs (miRNAs) and RNA-binding proteins (RBPs) can influence gene expression programs. While exoribonuclease treatment is widely used to degrade linear RNAs and enrich circRNAs in RNA samples, it does not efficiently eliminate all linear RNAs. Here, we describe a novel method for the isolation of highly pure circRNA populations involving RNase R treatment followed by Polyadenylation and poly(A)+ RNA Depletion (RPAD), which removes linear RNA to near completion. High-throughput sequencing of RNA prepared using RPAD from human cervical carcinoma HeLa cells and mouse C2C12 myoblasts led to two surprising discoveries: (i) many exonic circRNA (EcircRNA) isoforms share an identical backsplice sequence but have different body sizes and sequences, and (ii) thousands of novel intronic circular RNAs (IcircRNAs) are expressed in cells. In sum, isolating high-purity circRNAs using the RPAD method can enable quantitative and qualitative analyses of circRNA types and sequence composition, paving the way for the elucidation of circRNA functions.

Comparison of triple-negative breast cancer molecular subtyping using RNA from matched fresh-frozen versus formalin-fixed paraffin-embedded tissue

BackgroundTriple negative breast cancer (TNBC) is a heterogeneous disease that lacks unifying molecular alterations that can guide therapy decisions. We previously identified distinct molecular subtypes of TNBC (TNBCtype) using gene expression data generated on a microarray platform using frozen tumor specimens. Tumors and cell lines representing the identified subtypes have distinct enrichment in biologically relevant transcripts with differing sensitivity to standard chemotherapies and targeted agents. Since our initial discoveries, RNA-sequencing (RNA-seq) has evolved as a sensitive and quantitative tool to measure transcript abundance.MethodsTo demonstrate that TNBC subtypes were similar between platforms, we compared gene expression from matched specimens profiled by both microarray and RNA-seq from The Cancer Genome Atlas (TCGA). In the clinical care of patients with TNBC, tumor specimens collected for diagnostic purposes are processed by formalin fixation and paraffin-embedding (FFPE). Thus, for TNBCtype to eventually have broad and practical clinical utility we performed RNA-seq gene expression and molecular classification comparison between fresh-frozen (FF) and FFPE tumor specimens.ResultsAnalysis of TCGA showed consistent subtype calls between 91% of evaluable samples demonstrating conservation of TNBC subtypes across microarray and RNA-seq platforms. We compared RNA-seq performed on 21-paired FF and FFPE TNBC specimens and evaluated genome alignment, transcript coverage, differential transcript enrichment and concordance of TNBC molecular subtype calls. We demonstrate that subtype accuracy between matched FF and FFPE samples increases with sequencing depth and correlation strength to an individual TNBC subtype.ConclusionsTNBC subtypes were reliably identified from FFPE samples, with highest accuracy if the samples were less than 4 years old and reproducible subtyping increased with sequencing depth. To reproducibly subtype tumors using gene expression, it is critical to select genes that do not vary due to platform type, tissue processing or RNA isolation method. The majority of differentially expressed transcripts between matched FF and FFPE samples could be attributed to transcripts selected for by RNA enrichment method. While differentially expressed transcripts did not impact TNBC subtyping, they will provide guidance on determining which transcripts to avoid when implementing a gene set size reduction strategy.Trial registrationNCT0093093007/01/2009.

Comprehensive evaluation of extracellular small RNA isolation methods from serum in high throughput sequencing

BackgroundDNA and RNA fractions from whole blood, serum and plasma are increasingly popular analytes that are currently under investigation for their utility in the diagnosis and staging of disease. Small non-coding ribonucleic acids (sRNAs), specifically microRNAs (miRNAs) and their variant isoforms (isomiRs), and transfer RNA (tRNA)-derived small RNAs (tDRs) comprise a repertoire of molecules particularly promising in this regard.ResultsIn this designed study, we compared the performance of various methods and kits for isolating circulating extracellular sRNAs (ex-sRNAs). ex-sRNAs from one healthy individual were isolated using five different isolation kits: Qiagen Circulating Nucleic Acid Kit, ThermoFisher Scientific Ambion TRIzol LS Reagent, Qiagen miRNEasy, QiaSymphony RNA extraction kit and the Exiqon MiRCURY RNA Isolation Kit. Each isolation method was repeated four times. A total of 20 small RNA sequencing (sRNAseq) libraries were constructed, sequenced and compared using a rigorous bioinformatics approach. The Circulating Nucleic Acid Kit had the greatest miRNA isolation variability, but had the lowest isolation variability for other RNA classes (isomiRs, tDRs, and other miscellaneous sRNAs (osRNA). However, the Circulating Nucleic Acid Kit consistently generated the fewest number of reads mapped to the genome, as compared to the best-performing method, Ambion TRIzol, which mapped 10% of the miRNAs, 7.2% of the tDRs and 23.1% of the osRNAs. The other methods performed intermediary, with QiaSymphony mapping 14% of the osRNAs, and miRNEasy mapping 4.6% of the tDRs and 2.9% of the miRNAs, achieving the second best kit performance rating overall.ConclusionsIn summary, each isolation kit displayed different performance characteristics that could be construed as biased or advantageous, depending upon the downstream application and number of samples that require processing.

High Throughput Sequencing of Extracellular RNA from Human Plasma.

The presence and relative stability of extracellular RNAs (exRNAs) in biofluids has led to an emerging recognition of their promise as ‘liquid biopsies’ for diseases. Most prior studies on discovery of exRNAs as disease-specific biomarkers have focused on microRNAs (miRNAs) using technologies such as qRT-PCR and microarrays. The recent application of next-generation sequencing to discovery of exRNA biomarkers has revealed the presence of potential novel miRNAs as well as other RNA species such as tRNAs, snoRNAs, piRNAs and lncRNAs in biofluids. At the same time, the use of RNA sequencing for biofluids poses unique challenges, including low amounts of input RNAs, the presence of exRNAs in different compartments with varying degrees of vulnerability to isolation techniques, and the high abundance of specific RNA species (thereby limiting the sensitivity of detection of less abundant species). Moreover, discovery in human diseases often relies on archival biospecimens of varying age and limiting amounts of samples. In this study, we have tested RNA isolation methods to optimize profiling exRNAs by RNA sequencing in individuals without any known diseases. Our findings are consistent with other recent studies that detect microRNAs and ribosomal RNAs as the major exRNA species in plasma. Similar to other recent studies, we found that the landscape of biofluid microRNA transcriptome is dominated by several abundant microRNAs that appear to comprise conserved extracellular miRNAs. There is reasonable correlation of sets of conserved miRNAs across biological replicates, and even across other data sets obtained at different investigative sites. Conversely, the detection of less abundant miRNAs is far more dependent on the exact methodology of RNA isolation and profiling. This study highlights the challenges in detecting and quantifying less abundant plasma miRNAs in health and disease using RNA sequencing platforms.

A rapid and high-quality method for total RNA isolation from Haematococcus pluvialis.

Haematococcus pluvialis, as the most potential natural source of astaxanthin, which is a powerful antioxidant with high economic value, has attracted more and more scientific attention in recent years. An in-depth understanding of the mechanism for how H. pluvialis produces astaxanthin requires the intensive investigations on its genetic information. In particular, many reported studies were based on a variety of RNA analyses. However, it is difficult to extract RNA with high quality and quantity from H. pluvialis, because of the blockage from its thick cell wall and contamination by a large quantity of pigments, polysaccharides, and lipids. Therefore, we proposed an optimized Trizol-based RNA extraction method for H. pluvialis by investigating the effect of cell wall broken ways, algal strains, and cell growth status on total RNA isolation. Using this rapid, convenient, and cost-saving method, isolated H. pluvialis RNA had high quantity and quality (with an RNA integrity number of 7.0 and a concentration of 1604.1 ng/μL) equivalent to that isolated by commercial kit, enabling its applications into downstream RNA analyses.

A Simple, Rapid and Efficient Method of Pepino mosaic Virus RNA Isolation from Tomato Fruit

The main concern in molecular detection of RNA viral pathogens in plants is the achievement of good quality of the extracted RNA. Various methods of isolating RNAs from both polysaccharide-rich and poor tissues and other recalcitrant plants are available. However, the use of time and reagent consuming methods and those involving hazardous chemicals is somewhat cumbersome and problematic, especially when it is not necessary for specific purposes like isolating viral RNA from tomato fruit, hence the objective of this paper. We describe an alternative, simple and rapid method for preparing viral RNA from tomato fruit without RNA extraction and purification steps, case of Pepino mosaic virus (PepMV). The method employs mechanical treatment and suspension in water. The quality of RNA obtained was judged by spectrometric readings and validated in RT-PCR assays. The used protocol was compared with the usual TRIzol method. The results showed that the yield and the quality of RNA obtained using the proposed method are efficient and highly yielded in comparison with TRIzol method. Moreover, the developed method successfully allowed a sensitive and reproducible detection of PepMV predicted bands in RT-PCR. Thus, molecular detection of PepMV from tomato fruit can be performed routinely without fastidious RNA isolation. As well, this will make the diagnosis of other RNA viruses infecting tomato crops easier and less time-consuming, in comparison with the other methods performed with expensive commercial kits and those involving toxic chemicals. Finally, the described established method will contribute effectively in strategies of phytosanitary and certification programs of tomato crops worldwide.

A Comparison of Silica Membrane-Based and Acidic Phenol Methods in RNA Isolation: Determination of the Most Effective Acidic Phenol RNA Isolation Protocol

Objective: The aim of this study is to determine the most effective method in isolating intact RNA from peripheral blood samples. Moreover, optimization of the best method’s conditions is another aim, in order to reach and determine the best protocol in RNA isolation from peripheral blood. Subjects and Methods: This study was conducted during the period from April 2014- December 2015 in the central laboratory for research, faculty of medicine, Tishreen University. 1.5ml of peripheral blood samples were collected from 30 healthy visitors to Tishreen University hospital, Latakia, Syria, after their agreement, gathered on EDTA anticoagulative tubes. Two common methods in RNA isolating were compared in this study in order to determine the most effective one, the first method depends on silica membrane principle using a commercial RNA isolating kit, and the second one is the traditional acidic phenol RNA isolating method. Optimization of the best method’s conditions was also carried out, all that was in the purpose of determination of the best intact RNA isolation protocol. Results: The results have revealed that the traditional acidic phenol RNA isolation method was more effective in isolating intact RNA compared to using the silica membrane-based commercial kit. Moreover, the best acidic phenol RNA isolation conditions were also determined as follows; fresh peripheral blood samples (no more than 15 minutes after collecting the samples), EDTA 0.1M solution as red blood cells lysing solution, white blood cells lysing buffer contained Guanidine thiocyanate salts as well as a manually prepared white blood cells lysing buffer formula contained SDS 2%, the acidic degree of the phenol was 4.4 (pH= 4.4), the ratio of the organic mixture was (Acidic Phenol 125: chloroform 24: Isoamyl alcohol 1), using 4+ working micro centrifuge, washing the RNA isolated pellet twice using 75% cold ethanol, the centrifugation speed after washing the RNA pellet was 4000rpm, and solving the RNA pellet in nuclease free water. Conclusion: This study has indicated that in order to get intact RNA molecules from peripheral blood samples the acidic phenol method was the best one. Optimization of some conditions in the protocol has helped in improving the results.

Comparison of Different Methods for RNA Extraction from Floral Buds of Tree Peony (Paeonia suffruticosa Andr.)

Tree peony (Paeonia suffruticosa Andr.), a species native to China, is one of the most important ornamental and medicinal plants. Like other tree species in temperate and boreal zones, the dormancy-activity transition of floral buds is critical for blooming time and fruit production. However, floral buds contain high levels of secondary metabolites, making the isolation of high quality RNA difficult. To obtain a method suitable for extracting RNA from floral buds of tree peony, we evaluated five different methods, including the cetyltrimethylammonium bromide (CTAB) and Sodium dodecyl sulfate (SDS)-based methods, a modified SDS-TRNzol protocol, and two commercial kits (TRNzol and Qiagen RNeasy Plant Mini Kit). The modified SDS-TRNzol method was capable of efficiently removing polyphenols and other metabolites in floral buds. The isolated RNA was of high purity and integrity, as demonstrated by the the A260/280 ratio of approximately 2.0, and RIN values of more than 9.0. Gel electrophoresis analysis indicated that the extracted RNA had clear 28S and 18S ribosomal RNA bands without DNA contamination. The RNA isolated by this protocol was successfully used for downstream manipulations, such as RT-PCR, RACE, and real-time PCR. Together, the modified SDS-TRNzol protocol is an easy, efficient, and highly reproducible method for RNA isolation from floral buds rich in secondary metabolites.

A single-step method for RNA isolation from tropical crops in the field.

The RNAzol RT reagent was used to provide pure RNA from human cells. We develop a protocol using RNAzol RT reagent to extract pure RNA from plants tissues and demonstrate that this RNA extraction method works not only at room temperature but also at elevated temperatures and provides the simplest and most effective single-step method to extract pure and undegraded RNA directly from tropical plants in the field. RNA extraction directly in a complex field environment opens up the way for studying gene-environment interactions at transcriptome level to decipher the complex regulatory network involved in multiple-stress responses.

A Customized Quantitative PCR MicroRNA Panel Provides a Technically Robust Context for Studying Neurodegenerative Disease Biomarkers and Indicates a High Correlation Between Cerebrospinal Fluid and Choroid Plexus MicroRNA Expression.

MicroRNA (miRNA) expression varies in association with different tissue types and in diseases. Having been found in body fluids including blood and cerebrospinal fluid (CSF), miRNAs constitute potential biomarkers. CSF miRNAs have been proposed as biomarkers for neurodegenerative diseases; however, there is a lack of consensus about the best candidate miRNA biomarkers and there has been variability in results from different research centers, perhaps due to technical factors. Here, we sought to optimize technical parameters for CSF miRNA studies. We examined different RNA isolation methods and performed miRNA expression profiling with TaqMan® miRNA Arrays. More specifically, we developed a customized CSF-miRNA low-density array (TLDA) panel that contains 47 targets: miRNAs shown previously to be relevant to neurodegenerative disease, miRNAs that are abundant in CSF, data normalizers, and controls for potential blood and tissue contamination. The advantages of using this CSF-miRNA TLDA panel include specificity, sensitivity, fast processing and data analysis, and cost effectiveness. We optimized technical parameters for this assay. Further, the TLDA panel can be tailored to other specific purposes. We tested whether the profile of miRNAs in the CSF resembled miRNAs isolated from brain tissue (hippocampus or cerebellum), blood, or the choroid plexus. We found that the CSF miRNA expression profile most closely resembles that of choroid plexus tissue, underscoring the potential importance of choroid plexus-derived signaling through CSF miRNAs. In summary, the TLDA miRNA array panel will enable evaluation and discovery of CSF miRNA biomarkers and can potentially be utilized in clinical diagnosis and disease stage monitoring.

The Slavery of the h-index-Measuring the Unmeasurable.

The Slavery of the h-index-Measuring the Unmeasurable.

Development of a microarray-based assay for rapid monitoring of genetic variants of West Nile virus circulating in the United States

West Nile virus (WNV) has become endemic in the Western Hemisphere since its first introduction in the United States in 1999. An important factor associated with annual reoccurrence of WNV outbreaks in the U.S. is viral adaptation to domestic mosquitoes and birds through accumulation of spontaneous mutations in the WNV genome. Newly emerged mutations in the viral genome can potentially negatively affect the performance of existing diagnostic and screening assays and future vaccines. Therefore, the genetic monitoring of the WNV viral population during annual outbreaks is extremely important for public health and can only be achieved by application of efficient sample preparation methods followed by high throughput genetic analysis. In this study, we developed and evaluated a method for specific isolation of WNV genomic RNA from plasma samples without cultivation of the virus in cells. In combination with the microarray-based genetic analysis of the isolated WNV genomic RNA, this approach is suitable for fast, high throughput genotyping of circulating WNV genetic variants. The methods were evaluated using WNV isolates from the 1999–2012U.S. epidemics.