RNA-based Analysis Research Articles

Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer.

Prognostic multigene expression assays have become widely available to provide additional information to standard clinical parameters and to support clinicians in treatment decisions. In this study, we analyzed the impact of variations in tissue handling on the diagnostic EndoPredict test results. EndoPredict is a quantitative reverse transcription PCR assay conducted on RNA from formalin-fixed, paraffin-embedded (FFPE) tissue that predicts the likelihood of distant recurrence in patients with ER-positive/HER2-negative breast cancer. In this study, we performed a total of 138 EndoPredict assays to study the effects of preanalytical variables such as time to fixation, fixation time, tumor cell content, and section storage time on the EndoPredict test results. A time to fixation of up to 12 h and fixation of up to 5 days did not affect the results of the gene expression test. Paired samples of FFPE sections with tumor cell content ranging from 15 to 95 % and tumor-enriched samples showed a correlation coefficient of 0.97. Test results of tissue sections that have been stored for 12 months at +4 or +20 °C showed a correlation of 0.99 when compared to results of nonstored sections. In conclusion, preanalytical tissue handling is not a critical factor for diagnostic gene expression analysis with the EndoPredict assay. The test can therefore be easily integrated into the standard workflow of molecular pathology.

Solvent-selective routing for centrifugally automated solid-phase purification of RNA

We present a disc-based module for rotationally controlled solid-phase purification of RNA from cell lysate. To this end, multi-stage routing of a sequence of aqueous and organic liquids into designated waste and elution reservoirs is implemented by a network of strategically placed, solvent-selective composite valves . Using a bead-based stationary phase at the entrance of the router, we show that total RNA is purified with high integrity from cultured MCF7 and T47D cell lines, human leucocytes and Haemophilus influenzae cell lysates. Furthermore, we demonstrate the broad applicability of the device through the in vitro amplification of RNA purified on-disc using RT-PCR and NASBA. Our novel router will be at the pivot of a forthcoming, fully integrated and automated sample preparation system for RNA-based analysis .

An RNA-based analysis of changes in biodiversity indices in response to Sus scrofa domesticus decomposition

Despite emergent research initiatives, significant knowledge gaps remain of soil microbiology-associated cadaver decomposition. Nevertheless, preliminary studies have shown that the vast diversity and complex interactions of soil microbial communities have great potential for forensic applications such as clandestine grave location and postmortem interval estimation. This study investigated changes in soil bacterial communities during pig (Sus scrofa domesticus) leg decomposition. 16S rRNA, instead of the usually applied 16S rDNA marker, was used to compare the metabolically active bacteria. Total bacterial RNA was extracted from soil samples of three different layers on day 3, 28 and 77 after the shallow burial of a pig leg. The V3 region of the 16S rRNA was amplified, analysed by RT-PCR DGGE, and compared with control soil bacterial community profiles. Statistically significant differences in soil bacterial biodiversity were observed. For the control, bacterial diversity (H′) and species richness (S) of the three layers averaged 2.48±0.14 (H′) and 18.8±2.5 (S), respectively, while for the test soil increases (p=0.027) were recorded between day 3 (H′=2.71±0.02; S=21.3±2.0) and 28 (H′=3.46±0.32; S=60.3±16.9), particularly in the middle (10–20cm) and bottom (20–30cm) soil layers. Between day 28 and 77 the diversity and richness then decreased on average for all three layers (H′=3.43±0.20; S=60.0±17.3) but remained higher than on day 3. Thus, responses in soil bacterial profiles and activity to carcass decomposition, detected and characterised by RNA-based DGGE, could be used together with RNA sequencing data, changes in physico-chemical variables (carbon, nitrogen, phosphorus, temperature, redox potential, water activity and pH) and conventional macroecology markers (e.g. insects and vegetation), to develop a suite of analytical protocols for different forensic scenarios.

Two-stage biogas production by co-digesting molasses wastewater and sewage sludge.

We evaluated the feasibility of co-digesting molasses wastewater and sewage sludge in a two-stage hydrogen- and methane-producing system. The highest energy was recovered at the 21-h hydraulic retention time (HRT) of the first hydrogenic reactor and at 56-h HRT of the secondary methanogenic reactor. Hence, the two-stage system recovered 1,822kJ from 1L of the mixed wastes (19.7: hydrogenic reactor plus, 1,802kJL(-1): methanogenic reactor). Despite the overloaded VFA-run with a short HRT of 56h, the GAC-CH4 reactor increased methane production rate and yields due to enhanced pH buffer capacity. An RNA-based community analysis showed that the Ethanoligenens and Methanosaeta dominated the hydrogen and methane bioreactor, respectively. The two-stage system of co-digesting molasses and sewage sludge is particularly cost-effective due to non-pretreatment of sewage sludge.

Microeukaryotic community and oxygen response in rice field soil revealed using a combined rRNA-gene and rRNA-based approach.

Irrigated rice field soil is subjected to frequent changes in oxygen status due to the water regime by agricultural management. In this study, the community response of microeukaryotes in rice field soil to the oxygen status was explored in a microcosm experiment under defined conditions. Water-saturated soil was incubated under a two-level factorial design of oxygen and organic enrichment with plant residue. The eukaryotic microbial community composition, which was either present or potentially active in the soils, was analyzed using denaturing gradient gel electrophoresis (DGGE) targeting the 18S rRNA gene or reverse-transcribed 18S rRNA. Oxygen availability was a primary factor shaping the microeukaryotic community in both DNA- and RNA-based analyses, revealing a shift within a week of incubation. Plant residue also affected the microeukaryotic community, which was more notable in the active community showing rRNA expression with time. Sequences of amplicons in DGGE bands indicated that protozoa (ciliates, flagellates, and amoebae) were the most prominent microeukaryotes in water-saturated rice field soil both in DNA- and RNA-based analyses. The use of a modified primer for soil protozoa suggested the functional importance of Heterolobosea amoeba in rice field soil, particularly in anoxic soil with organic enrichment.

New approach in RNA quantification using arginine-affinity chromatography: potential application in eukaryotic and chemically synthesized RNA

The knowledge of RNA's role in biological systems and the recent recognition of its potential use as a reliable biotherapeutic tool increase the demand for development and validation of analytical methods for accurate analysis of RNA. Affinity chromatography is a unique technique because of the versatility of applications reliant on the affinity ligand used. Recently, an arginine-based matrix has been effectively applied in the purification of RNA because of the specific recognition mechanism for RNA molecules. This interaction is suggested to be due to the length of arginine side chain and its ability to produce good hydrogen bonding geometries, which promote multi-contact with RNA backbone or RNA bases, based on RNA folding. Thus, this work presents the development and validation of an analytical method with ultraviolet detection for the quantification of RNA using affinity chromatography with arginine amino acid as immobilized ligand. The method was validated according to International and European legislation for bioanalytical methods. The results revealed that the proposed method is suitable for the reliable detection, separation, and quantification of RNA, showing that the method is precise and accurate for concentrations up to 200ng/μL of RNA. Furthermore, the versatility of the methodology was demonstrated by its applicability in the quantification of RNA from different eukaryotic cells and in crude samples of chemically synthesized RNA. Therefore, the proposed method demonstrates a potential multipurpose applicability in molecular biology RNA-based analysis and RNA therapeutics.

Abundance and diversity of archaeal accA gene in hot springs in Yunnan Province, China

It has been suggested that archaea carrying the accA gene, encoding the alpha subunit of the acetyl CoA carboxylase, autotrophically fix CO2 using the 3-hydroxypropionate/4-hydroxybutyrate pathway in low-temperature environments (e.g., soils, oceans). However, little new information has come to light regarding the occurrence of archaeal accA genes in high-temperature ecosystems. In this study, we investigated the abundance and diversity of archaeal accA gene in hot springs in Yunnan Province, China, using DNA- and RNA-based phylogenetic analyses and quantitative polymerase chain reaction. The results showed that archaeal accA genes were present and expressed in the investigated Yunnan hot springs with a wide range of temperatures (66-96 °C) and pH (4.3-9.0). The majority of the amplified archaeal accA gene sequences were affiliated with the ThAOA/HWCG III [thermophilic ammonia-oxidizing archaea (AOA)/hot water crenarchaeotic group III]. The archaeal accA gene abundance was very close to that of AOA amoA gene, encoding the alpha subunit of ammonia monooxygenase. These data suggest that AOA in terrestrial hot springs might acquire energy from ammonia oxidation coupled with CO2 fixation using the 3-hydroxypropionate/4-hydroxybutyrate pathway.

Application of a molecular based approach for the early detection of short term 3-chloroaniline shock loads on activated sludge bacterial community and functionality

Microbial processes are central elements in wastewater treatment plants (WWTPs) to mineralize the organic matter, to degrade pollutants and to decrease the amount of suspended solids. This activity can be disrupted by organic and inorganic pollutants present in wastewater streams. Hence, it is of primary importance to investigate and monitor the structure and functionality of the sludge-resident microbial communities. We simulated a 3-chloroaniline (3-CA) shock load in 3-CA adapted and non-adapted semi-continuous activated-sludge (SCAS) reactors to selectively stress the Ammonia Oxidizing Bacteria (AOB). Recently developed setting-independent theoretical interpretation of molecular DNA and RNA fingerprinting patterns were used to evaluate the responses of the microbial populations. Ammonium accumulation in treated reactors upon 3-CA addition confirmed the disruption of the functionality under stress conditions. Molecular analyses coupled to their interpretation highlighted that shock loaded reactors clustered separately from non-treated ones, especially when AOBs community was specifically targeted. Furthermore, the interpretation of RNA-based analyses, as compared to DNA-based ones, allowed to more promptly depicting shifts in a stressed community. We showed that the use of RNA-based molecular tools in combination with a new set of parameters is a powerful tool to link functional failures with microbial structure modifications in WWTPs, providing a potential tool for a rational optimization of the processes (Microbial Resource Management - MRM).

Tracking Fungal Community Responses to Maize Plants by DNA- and RNA-Based Pyrosequencing

We assessed soil fungal diversity and community structure at two sampling times (t1 = 47 days and t2 = 104 days of plant age) in pots associated with four maize cultivars, including two genetically modified (GM) cultivars by high-throughput pyrosequencing of the 18S rRNA gene using DNA and RNA templates. We detected no significant differences in soil fungal diversity and community structure associated with different plant cultivars. However, DNA-based analyses yielded lower fungal OTU richness as compared to RNA-based analyses. Clear differences in fungal community structure were also observed in relation to sampling time and the nucleic acid pool targeted (DNA versus RNA). The most abundant soil fungi, as recovered by DNA-based methods, did not necessary represent the most “active” fungi (as recovered via RNA). Interestingly, RNA-derived community compositions at t1 were highly similar to DNA-derived communities at t2, based on presence/absence measures of OTUs. We recovered large proportions of fungal sequences belonging to arbuscular mycorrhizal fungi and Basidiomycota, especially at the RNA level, suggesting that these important and potentially beneficial fungi are not affected by the plant cultivars nor by GM traits (Bt toxin production). Our results suggest that even though DNA- and RNA-derived soil fungal communities can be very different at a given time, RNA composition may have a predictive power of fungal community development through time.

RNA-based blood genomics as an investigative tool and prospective biomarker for ischemic stroke

Stroke is a leading cause of death and disability, and considerable effort is being expended to investigation of its pathological mechanisms, as well as the identification of clinically relevant biomarkers that could assist in diagnosis. RNA-based analysis of gene expression in blood represents a new field of study addressing both paradigms. A number of recent animal and human studies using microarray technology demonstrate rapidly-induced, measurable changes in gene expression in response to ischemic trauma, and distinct expression 'profiles' specific to the injury subtype. The incorporation of newer technologies for a more detailed transcriptome analysis holds great promise for further improving our knowledge of stroke at the molecular level, and potentially enhancing standards of diagnosis.

The short-term effects of surface soil disturbance on soil bacterial community structure at an experimental site near Scott Base, Antarctica

Humans are visiting Antarctica in increasing numbers, and the ecological effect of rapid soil habitat alteration due to human-induced physical disturbance is not well understood. An experimental soil disturbance trial was set up near Scott Base on Ross Island, to investigate the immediate and short-term changes to bacterial community structure, following surface soil disturbance. Three blocks, each comprising an undisturbed control, and an area disturbed by removing the top 2 cm of soil, were sampled over a time series (0, 7, 14, 21, and 35 days), to investigate changes to bacterial community structure using DNA profiling by terminal restriction fragment length polymorphism. The simulated disturbance did not cause any major shifts in the structure of the bacterial communities over the 35-day sampling period. Ordination showed that the bacterial community composition correlated strongly with soil EC (R 2 = 0.55) and soil pH (R 2 = 0.67), rather than the removal of the top 2 cm of surface material. Although the replicate blocks were visually indistinguishable from one another, high local spatial variability of soil chemical properties was found at the study site and different populations of bacterial communities occurred within 2 m of one another, within the same landscape unit. Given the current knowledge of the drivers of bacterial community structure, that is, soil EC, soil pH, and soil moisture content, a follow-up investigation incorporating DNA and RNA-based analyses over a time frame of 2–3 years would lead to a greater understanding of the effects of soil disturbance on bacterial communities.

Relevance of cellular and serum carbonic anhydrase IX in primary breast cancer

Carbonic anhydrase IX (CAIX) is involved in pH homeostasis, growth and survival of tumor cells. Besides the membranous form of CAIX, a soluble form is detectable in serum (s-CAIX). Overexpression of CAIX in tumors offers the opportunity for therapeutic strategies such as CAIX targeting antibodies. The aim of this study was to examine the relationships of CAIX mRNA expression and s-CAIX levels with clinicopathological parameters and survival of patients with primary breast cancer. Tumor tissue of 169 primary breast cancer patients was analyzed for RNA expression by microarray analysis (Affymetrix HG-U133A). Concentration of s-CAIX was determined by ELISA in blood samples of 140 patients. In tumor tissue, CAIX mRNA signal intensities (MAS5 values) ranged from 34 to 2,513. Higher CAIX expression was associated with younger age (</≥50 years p = 0.040), negative hormone receptors (estrogen receptor p = 0.004; progesterone receptor p = 0.022) and positive nodal status (p = 0.001) as well as with shorter disease-free survival (p = 0.031). Concentrations of s-CAIX ranged from 56 to 1,500 pg/ml. There was no correlation between s-CAIX and CAIX mRNA levels as well as clinicopathological characteristics or outcome. In contrast to reported immunohistochemical studies, we performed RNA-based tissue analyses of CAIX expression and, for the first time, analyzed CAIX serum levels in primary breast cancer. The correlations between CAIX RNA expression and prognostic factors and patient outcome support a biologic role of CAIX in early breast cancer. A role of s-CAIX in primary breast cancer is not supported by our findings.

RNA-based analysis of two SMARCB1 mutations associated with familial schwannomatosis with meningiomas

Germline mutations in the SMARCB1 gene cause familial schwannomatosis, a condition characterized by the presence of multiple schwannomas, although mutations in SMARCB1 have also been associated with rhadboid tumor predisposition syndrome 1 (RTPS1). Both schwannomatosis and RTPS1 are autosomal dominant conditions that predispose individuals to develop distinct types of tumors. We clinically and genetically characterized two families with schwannomatosis associated with SMARCB1 mutations. Eight affected members of these families developed different numbers of schwannomas and/or meningiomas at distinct ages, evidence that meningiomas are variably expressed in this condition. We identified two germline mutations in SMARCB1 associated with the familial disease, c.233-1G>A and the novel c.207_208dupTA mutation, which both proved to affect the main SMARCB1 isoforms at the RNA level distinctly. Interestingly, the c.207_208dupTA mutation had no effect on the coding sequence, pre-mRNA splicing or the level of expression of the SMARCB1 isoform 2. Furthermore, SMARCB1 isoforms harboring a premature termination codon were largely eliminated via the nonsense-mediated mRNA decay pathway. Our results highlight the importance of RNA-based studies to characterize SMARCB1 germline mutations in order to determine their impact on protein expression and gain further insight into the genetic basis of conditions associated with SMARCB1 mutations.

Variability of RNA Quality Extracted from Biofilms of Foodborne Pathogens Using Different Kits Impacts mRNA Quantification by qPCR

The biofilm formation by foodborne pathogens is known to increase the problem related with surface disinfection procedure in the food processing environment and consequent transmission of these pathogens into the population. Messenger RNA has been increasingly used to understand the action and the consequences of disinfectants in the virulence on such biofilms. RNA quality is an important requirement for any RNA-based analysis since the quality can impair the mRNA quantification. Therefore, we evaluated five different RNA extraction kits using biofilms of the foodborne pathogens Listeria monocytogenes, Escherichia coli, and Salmonella enterica. The five kits yielded RNA with different quantities and qualities. While for E. coli the variability of RNA quality did not affect the quantification of mRNA, the same was not true for L. monocytogenes or S. enterica. Therefore, our results indicate that not all kits are suitable for RNA extraction from bacterial biofilms, and thus, the selection of RNA extraction kit is crucial to obtain accurate and meaningful mRNA quantification.

Phytohemagglutinin stimulation of lymphocytes improves mutation analysis of carbamoylphosphate synthetase 1

Carbamoylphosphate synthetase 1 (CPS1) is the first enzyme of the urea cycle. CPS1 deficiency is a rare autosomal-recessively inherited disorder that can lead to life-threatening hyperammonemia. Since there is no reliable biochemical marker for this disease, diagnosis relies on molecular means which is often done by RNA-based mutation analysis. Skin fibroblasts have been frequently used as a source of RNA while peripheral blood cells do not yield sufficient amounts of specific RNA. To avoid the costly and laborious use of cultured fibroblasts, we tried to use stimulated lymphocytes as an alternative. This was effectively achieved by short-term culture of full heparin blood in the presence of phytohemagglutinin. Hereby, subsequent reverse transcriptase-PCR of the CPS1 transcript became feasible and allowed to detect 16 different mutations (10 missense, 3 deletions, 2 nonsense, 1 duplication; 7 novel mutations) in 14 consecutive patients with CPS1 deficiency. When compared to retrospective data on cultured fibroblasts, the adapted method allowed substantial shortening of the median time to diagnosis (24days versus 122days, respectively). Besides disease causing mutations, we detected CPS1 transcript variants including one cryptic exon in RNA from lymphocytes with higher frequency than in RNA from fibroblasts. This underlines that all mutations found in RNA need to be confirmed by DNA sequencing.In conclusion, the presented approach improves the diagnostics of CPS1 deficiency. Besides the shortened time to diagnosis, the method is of particular importance for confirmation of findings of next generation sequencing and gene chips.

The Response of Potentially Active Planktonic Actinobacteria to the Construction of Three Gorges Dam of the Yangtze River, China

The potentially active planktonic actinobacterial communities in the water columns behind and in front of the Three Gorges Dam (TGD) of the Yangzte River, China were investigated during two seasons (July and December 2009) with RNA-based 16S rRNA gene phylogentic analysis. A total of 417 actinobacterial 16S rRNA gene transcript clones were obtained and they could be classified into acI, acII, acIV, acSTL, Soil II+III [phylogenetic nomenclature for typical freshwater Actinobacteria made in Environ Microbiol 6(3): 242–253 and Appl Environ Microbiol 72(5): 3489–3497], some known suborders (e.g., Corynebacteriaceae, Micrococcineae, Micromonosporineae, Streptosporangineae), and unclassified Actinomycetales. Among these groups, RNA-based clone sequences affiliated with the acIV group were dominant, different from previously described freshwater ecosystems determined by using DNA techniques, suggesting that the planktonic actinobacterial community near the TGD may be unique. The seasonal (summer vs. winter) variation of the planktonic actinobacterial communities was more evident than the spatial (behind vs. in front of the dam) change. The effect of the TGD on actinobacterial community diversity and composition was more obvious in winter than in summer. Overall, the altered water dynamics due to the TGD construction are likely important reasons for the observed variations.

Prokaryotic Populations in Arsenic-Rich Shallow-Sea Hydrothermal Sediments of Ambitle Island, Papua New Guinea

This study is the first to investigate the microbial ecology of the Tutum Bay (Papua New Guinea) shallow-sea hydrothermal system. The subsurface environment was sampled by SCUBA using push cores, which allowed collection of sediments and pore fluids. Geochemical analysis of sediments and fluids along a transect emanating from a discrete venting environment, about 10 mbsl, revealed a complex fluid flow regime and mixing of hydrothermal fluid with seawater within the sediments, providing a continuously fluctuating redox gradient. Vent fluids are highly elevated in arsenic, up to ∼1 ppm, serving as a “point source” of arsenic to this marine environment. 16S rRNA gene and FISH (fluorescence in situ hybridization) analyses revealed distinct prokaryotic communities in different sediment horizons, numerically dominated by Bacteria. 16S rRNA gene diversity at the genus level is greater among the Bacteria than the Archaea. The majority of taxa were similar to uncultured Crenarchaea, Chloroflexus, and various heterotrophic Bacteria. The archaeal community did not appear to increase significantly in number or diversity with depth in these sediments. Further, the majority of sequences identifying with thermophilic bacteria were found in the shallower section of the sediment core. No 16S rRNA genes of marine Crenarchaeota or Euryarchaeota were identified, and none of the identified Crenarchaeota have been cultured. Both sediment horizons also hosted “Korarchaeota”, which represent 2–5% of the 16S rRNA gene clone libraries. Metabolic functions, especially among the Archaea, were difficult to constrain given the distant relationships of most of the community members from cultured representatives. Identification of phenotypes and key ecological processes will depend on future culturing, identification of arsenic cycling genes, and RNA-based analyses.

Identification of Active Denitrifiers in Rice Paddy Soil by DNA- and RNA-Based Analyses

Denitrification occurs markedly in rice paddy fields; however, few microbes that are actively involved in denitrification in these environments have been identified. In this study, we used a laboratory soil microcosm system in which denitrification activity was enhanced. DNA and RNA were extracted from soil at six time points after enhancing denitrification activity, and quantitative PCR and clone library analyses were performed targeting the 16S rRNA gene and denitrification functional genes (nirS, nirK and nosZ) to clarify which microbes are actively involved in denitrification in rice paddy soil. Based on the quantitative PCR results, transcription levels of the functional genes agreed with the denitrification activity, although gene abundance did not change at the DNA level. Diverse denitrifiers were detected in clone library analysis, but comparative analysis suggested that only some of the putative denitrifiers, especially those belonging to the orders Neisseriales, Rhodocyclales and Burkholderiales, were actively involved in denitrification in rice paddy soil.

RNA-based assessment of diversity and composition of active archaeal communities in the German Bight.

Archaea play an important role in various biogeochemical cycles. They are known extremophiles inhabiting environments such as thermal springs or hydrothermal vents. Recent studies have revealed a significant abundance of Archaea in moderate environments, for example, temperate sea water. Nevertheless, the composition and ecosystem function of these marine archaeal communities is largely unknown. To assess diversity and composition of active archaeal communities in the German Bight, seven marine water samples were taken and studied by RNA-based analysis of ribosomal 16S rRNA. For this purpose, total RNA was extracted from the samples and converted to cDNA. Archaeal community structures were investigated by pyrosequencing-based analysis of 16S rRNA amplicons generated from cDNA. To our knowledge, this is the first study combining next-generation sequencing and metatranscriptomics to study archaeal communities in marine habitats. The pyrosequencing-derived dataset comprised 62,045 archaeal 16S rRNA sequences. We identified Halobacteria as the predominant archaeal group across all samples with increased abundance in algal blooms. Thermoplasmatales (Euryarchaeota) and the Marine Group I (Thaumarchaeota) were identified in minor abundances. It is indicated that archaeal community patterns were influenced by environmental conditions.

Genotypic Distribution of a Specialist Model Microorganism, Methanosaeta, along an Estuarine Gradient: Does Metabolic Restriction Limit Niche Differentiation Potential?

A reductionist ecological approach of using a model genus was adopted in order to understand how microbial community structure is driven by metabolic properties. The distribution along an estuarine gradient of the highly specialised genus Methanosaeta was investigated and compared to the previously determined distribution of the more metabolically flexible Desulfobulbus. Methanosaeta genotypic distribution along the Colne estuary (Essex, UK) was determined by DNA- and RNA-based denaturing gradient gel electrophoresis and 16S rRNA gene sequence analyses. Methanosaeta distribution was monotonic, with a consistently diverse community and no apparent niche partitioning either in DNA or RNA analyses. This distribution pattern contrasts markedly with the previously described niche partitioning and sympatric differentiation of the model generalist, Desulfobulbus. To explain this difference, it is hypothesised that Methanosaeta's strict metabolic needs limit its adaptation potential, thus populations do not partition into spatially distinct groups and so do not appear to be constrained by gross environmental factors such as salinity. Thus, at least for these two model genera, it appears that metabolic flexibility may be an important factor in spatial distribution and this may be applicable to other microbes.