RNA Pool Research Articles

Identification of the vernalization gene VRN-B1 responsible for heading date variation by QTL mapping using a RIL population in wheat

BackgroundHeading time is one of the most important agronomic traits in wheat, as it largely affects both adaptation to different agro-ecological conditions and yield potential. Identification of genes underlying the regulation of wheat heading and the development of diagnostic markers could facilitate our understanding of genetic control of this process.ResultsIn this study, we developed 400 recombinant inbred lines (RILs) by crossing a γ-ray-induced early heading mutant (eh1) with the late heading cultivar, Lunxuan987. Bulked Segregant Analysis (BSA) of both RNA and DNA pools consisting of various RILs detected a quantitative trait loci (QTL) for heading date located on chromosomes 5B, and further genetic linkage analysis limited the QTL to a 3.31 cM region. We then identified a large deletion in the first intron of the vernalization gene VRN-B1 in eh1, and showed it was associated with the heading phenotype in the RIL population. However, it is not the mutation loci that resulted in early heading phonotype in the mutant compared to that of wildtype. RNA-seq analysis suggested that Vrn-B3 and several newly discovered genes, including beta-amylase 1 (BMY1) and anther-specific protein (RTS), were highly expressed in both the mutant and early heading pool with the dominant Vrn-B1 genotype compared to that of Lunxuan987 and late heading pool. Enrichment analysis of differentially expressed genes (DEGs) identified several key pathways previously reported to be associated with flowering, including fatty acid elongation, starch and sucrose metabolism, and flavonoid biosynthesis.ConclusionThe development of new markers for Vrn-B1 in this study supplies an alternative solution for marker-assisted breeding to optimize heading time in wheat and the DEGs analysis provides basic information for VRN-B1 regulation study.

MicroRNA expression profile of fish erythrocytes

MicroRNAs (miRNAs) are short noncoding sequences that can regulate the expression of target genes. Erythrocytes, also called red blood cells (RBCs), are the largest proportion of cells in blood. Erythrocytes deliver oxygen in the body of vertebrates and contribute to the body's immune function. Illumina sequencing technology was used to analyze pooled RNA samples isolated from erythrocytes, in order to characterize their gene expression profile and increase the range of miRNAs identified in Nile tilapia erythrocytes. This study identified conserved (n = 309) and novel (n = 194) miRNAs. Quantitative reverse-transcription polymerase chain reaction and next-generation sequencing results indicated that miR-451 was the most abundant in RBCs, followed by let-7a-1, miR-2188 and miR-144. Moreover, the tissue expression mode of these highly expressed miRNAs was characterized. Results show that miR-451, miR-2188, and miR-144 were all highly expressed in RBCs but were low abundance in other tissues. miR-1 and miR-10b were also abundantly expressed in muscle, while miR-122 was abundantly expressed in the liver. let-7a-1, miR-10b, and miR-1 were significantly higher in the testis than in the ovary. The tissue distribution of miRNAs implies that these noncoding sequences have a potential role in regulating tissue differentiation or maintaining tissue characteristics. The results of a dual-luciferase reporter assay indicated that miR-144 and miR-10b inhibited the expression of the meningioma expressed antigen 5 gene in vitro. This study contributes to the Nile tilapia miRNA database and reveals the profile of erythrocyte miRNA expression.

Dysregulation of microRNA Modulatory Network in Abdominal Aortic Aneurysm.

Abdominal artery aneurysm (AAA) refers to abdominal aortic dilatation of 3 cm or greater. AAA is frequently underdiagnosed due to often asymptomatic character of the disease, leading to elevated mortality due to aneurysm rupture. MiRNA constitute a pool of small RNAs controlling gene expression and is involved in many pathologic conditions in human. Targeted panel detecting altered expression of miRNA and genes involved in AAA would improve early diagnosis of this disease. In the presented study, we selected and analyzed miRNA and gene expression signatures in AAA patients. Next, generation sequencing was applied to obtain miRNA and gene-wide expression profiles from peripheral blood mononuclear cells in individuals with AAA and healthy controls. Differential expression analysis was performed using DESeq2 and uninformative variable elimination by partial least squares (UVE-PLS) methods. A total of 31 miRNAs and 51 genes were selected as the most promising biomarkers of AAA. Receiver operating characteristics (ROC) analysis showed good diagnostic ability of proposed biomarkers. Genes regulated by selected miRNAs were determined in silico and associated with functional terms closely related to cardiovascular and neurological diseases. Proposed biomarkers may be used for new diagnostic and therapeutic approaches in management of AAA. The findings will also contribute to the pool of knowledge about miRNA-dependent regulatory mechanisms involved in pathology of that disease.

Large-scale implementation of pooled RNA extraction and RT-PCR for SARS-CoV-2 detection

IntroductionTesting for active SARS-CoV-2 infection is a fundamental tool in the public health measures taken to control the COVID-19 pandemic. Because of the overwhelming use of SARS-CoV-2 reverse transcription (RT)-PCR tests worldwide, the availability of test kits has become a major bottleneck and the need to increase testing throughput is rising. We aim to overcome these challenges by pooling samples together, and performing RNA extraction and RT-PCR in pools. MethodsWe tested the efficiency and sensitivity of pooling strategies for RNA extraction and RT-PCR detection of SARS-CoV-2. We tested 184 samples both individually and in pools to estimate the effects of pooling. We further implemented Dorfman pooling with a pool size of eight samples in large-scale clinical tests. ResultsWe demonstrated pooling strategies that increase testing throughput while maintaining high sensitivity. A comparison of 184 samples tested individually and in pools of eight samples showed that test results were not significantly affected. Implementing the eight-sample Dorfman pooling to test 26 576 samples from asymptomatic individuals, we identified 31 (0.12%) SARS-CoV-2 positive samples, achieving a 7.3-fold increase in throughput. DiscussionPooling approaches for SARS-CoV-2 testing allow a drastic increase in throughput while maintaining clinical sensitivity. We report the successful large-scale pooled screening of asymptomatic populations.

Abstract IA08: Understanding programs of invasion and metastasis in head and neck cancer

Abstract Despite advances in our understanding of tumor biology as well as radiation, chemotherapy, and surgical treatments, head and neck squamous cell carcinoma (HNSCC) remains the sixth leading cause of cancer-related mortality and a major cause of morbidity, with over 550,000 new cases per year. Although HNSCC mortality has slightly declined with improved tolerance of therapy, the majority of deaths in HNSCC are related to advanced disease with locoregional lymph node (LN) or distant metastasis. Indeed, the presence of LN metastases reduces survival by approximately 50% in all HNSCC patients. Unfortunately, a firm biologic understanding of pathways that underlie metastasis in HNSCC (and many other solid tumors) remains elusive. Tumor heterogeneity in HNSCC is a major challenge in clinical management and can manifest as variability among tumors (intertumoral heterogeneity) or among cells harboring distinct mutations or expressing unique transcriptional programs from the same tumor (intratumoral heterogeneity). Prior studies have suggested that intratumoral heterogeneity is present in HNSCC based on comparative genomic hybridization assays and DNA ploidy analyses, with recent studies validating intratumoral heterogeneity using whole-genome sequencing. In addition, there is growing interest in subpopulations of HNSCC cells, which may have unique properties such as the ability to self-renew or invade, contributing to recurrence or metastasis, respectively. The clinical significance of intratumoral heterogeneity has recently been demonstrated with a quantitative measure of genetic heterogeneity based on whole-exome sequencing (WES). This measure, termed mutant-allele tumor heterogeneity (MATH), suggests that intratumoral heterogeneity is associated with tumor progression and poor responses to treatment, supporting the idea that greater genetic variability predicts a worse clinical outcome in HNSCC. However, whether intratumoral transcriptional heterogeneity also contributes to clinical outcomes remained an open question. We recently utilized single cell RNA-sequencing (scRNA-seq), a powerful new approach to characterize expression heterogeneity present within oral cavity HNSCC (Puram et al., Cell 2017). The strength of these analyses is the ability to capture the transcriptional profile of each individual cell without contamination from other cells that may be present within the sample. As a result, single-cell sequencing offers 1) more detailed, nuanced expression data than analyses of tumor fragments and 2) captures the transcriptional profile of every cell, even rare populations, that might be overlooked in pooled RNA. We sequenced ~6000 single cells from 18 samples, including five matched primary/lymph node pairs. Our analyses reveal that stromal and immune populations have well-defined and consistent expression programs across tumors. In contrast, malignant cells are highly heterogeneous with variable gene signatures related to cell cycle, stress, hypoxia, epithelial structures, and partial epithelial-to-mesenchymal transition (p-EMT). Cells expressing the p-EMT program spatially localized to the leading edge of primary tumors and in further in vitro analyses, we found that p-EMT cells were more invasive. Integration of single-cell transcriptomes with bulk expression profiles for >500 tumors from The Cancer Genome Atlas using a deconvolution approach identified a malignant cell-specific signature for each of these samples. Remarkably, this analysis identified the p-EMT program as the primary source of variability in HNSCC, while enabling us to redefine HNSCC subtypes by their malignant and stromal composition. Further integration with clinical annotations uncovered a significant association between the p-EMT program and nodal metastasis, grade, and adverse pathologic features including lymphovascular invasion and extracapsular extension. Consistent with these findings, the p-EMT score was a significant predictor of occult nodal metastases in clinically N0 patients, with predictive power equivalent to tumor thickness/size. Our studies provide a detailed map of expression heterogeneity in the HNSCC ecosystem and define an in vivo p-EMT program associated with metastasis and disease progression. Citation Format: Sidharth V. Puram. Understanding programs of invasion and metastasis in head and neck cancer [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Optimizing Survival and Quality of Life through Basic, Clinical, and Translational Research; 2019 Apr 29-30; Austin, TX. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(12_Suppl_2):Abstract nr IA08.

Determinants of RNA recognition by the FinO domain of the Escherichia coli ProQ protein

The regulation of gene expression by small RNAs in Escherichia coli depends on RNA binding proteins Hfq and ProQ, which bind mostly distinct RNA pools. To understand how ProQ discriminates between RNA substrates, we compared its binding to six different RNA molecules. Full-length ProQ bound all six RNAs similarly, while the isolated N-terminal FinO domain (NTD) of ProQ specifically recognized RNAs with Rho-independent terminators. Analysis of malM 3′-UTR mutants showed that tight RNA binding by the ProQ NTD required a terminator hairpin of at least 2 bp preceding an 3′ oligoU tail of at least four uridine residues. Substitution of an A-rich sequence on the 5′ side of the terminator to uridines strengthened the binding of several ProQ-specific RNAs to the Hfq protein, but not to the ProQ NTD. Substitution of the motif in the malM-3′ and cspE-3′ RNAs also conferred the ability to bind Hfq in E. coli cells, as measured using a three-hybrid assay. In summary, these data suggest that the ProQ NTD specifically recognizes 3′ intrinsic terminators of RNA substrates, and that the discrimination between RNA ligands by E. coli ProQ and Hfq depends both on positive determinants for binding to ProQ and negative determinants against binding to Hfq.

A New Design for the Fixed Primer Regions in an Oligonucleotide Library for SELEX Aptamer Screening.

Single-stranded DNA or RNA oligonucleotides, often called aptamers, can bind to a molecular target with both high affinity and selectivity due to their distinct three-dimensional structures. A technique called systematic evolution of ligands by exponential enrichment (SELEX) is used to screen aptamers from a random DNA or RNA pool, or library. The traditionally-designed oligonucleotides in libraries contain a randomized central region along with a fixed primer region at each end for amplifying target-bound central sequences. The single-stranded forward and reverse primer sequences may interfere with target-binding to the central region, resulting in a partial or complete loss of high-affinity aptamers during the SELEX process. To address this issue, researchers have modified the traditional oligonucleotide libraries and developed new types of oligonucleotide libraries; however, these approaches come with various limitations. The author proposes a new design that uses a conformation-changeable sequence as primers, which may open a new avenue for developing an optimized aptamer sequence with both high affinity for, and selective binding to, a particular target via SELEX.

Effect of microvesicles from Moringa oleifera containing miRNA on proliferation and apoptosis in tumor cell lines

Human microvesicles are key mediators of cell–cell communication. Exosomes function as microRNA transporters, playing a crucial role in physiological and pathological processes. Plant microvesicles (MVs) display similar features to mammalian exosomes, and these MVs might enhance plant microRNA delivery in mammals. Considering that plant microRNAs have been newly identified as bioactive constituents in medicinal plants, and that their potential role as regulators in mammals has been underlined, in this study, we characterized MVs purified from Moringa oleifera seeds aqueous extract (MOES MVs) and used flow cytometry methods to quantify the ability to deliver their content to host cells. The microRNAs present in MOES MVs were characterized, and through a bioinformatic analysis, specific human apoptosis-related target genes of plant miRNAs were identified. In tumor cell lines, MOES MVs treatment reduced viability, increased apoptosis levels associated with a decrease in B-cell lymphoma 2 protein expression and reduced mitochondrial membrane potential. Interestingly, the effects observed with MOES MVs treatment were comparable to those observed with MOES treatment and transfection with the pool of small RNAs isolated from MOES, used as a control. These results highlight the role of microRNAs transported by MOES MVs as natural bioactive plant compounds that counteract tumorigenesis.

Анализ изменения экспрессии генов при моделировании болезни Паркинсона

Несмотря на очевидный прогресс, достигнутый в изучении молекулярно-генетических факторов и механизмов патогенеза болезни Паркинсона (БП), в настоящее время стало ясно, что нарушения в структуре ДНК не описывают весь спектр патологических изменений, наблюдаемых при развитии заболевания. В настоящее время показано, что существенное влияние на патогенез БП могут оказывать изменения на уровне транскриптома. В работе были использованы мышиные модели досимптомной стадии БП, поздней досимптомной и ранней симптомной (РСС) стадиями БП. Для полнотранскриптомного анализа пулов РНК тканей черной субстанции и стриатума мозга мышей использовались микрочипы MouseRef-8 v2.0 Expression BeadChip Kit («Illumina», США). Полученные данные указывают на последовательное вовлечение транскриптома в патогенез БП, а также на то, что изменения на транскриптомном уровне процессов транспорта и митохондриального биогенеза могут играть важную роль в нейродегенерации при БП уже на самых ранних этапах. Parkinson’s disease (PD) is a complex systemic disease, mainly associated with the death of dopaminergic neurons. Despite the obvious progress made in the study of molecular genetic factors and mechanisms of PD pathogenesis, it has now become clear that violations in the DNA structure do not describe the entire spectrum of pathological changes observed during the development of the disease. It has now been shown that changes at the transcriptome level can have a significant effect on the pathogenesis of PD. The authors used models of the presymptomatic stage of PD with mice decapitation after 6 hours (6 h-PSS), presymptomatic stage with decapitation after 24 hours (24 h-PSS), advanced presymptomatic (Adv-PSS) and early symptomatic (ESS) stages of PD. For whole transcriptome analysis of RNA pools of the substantia nigra and mouse striatum, the MouseRef-8 v2.0 Expression BeadChip Kit microchips (Illumina, USA) were used. As a result of the analysis of whole transcriptome data, it was shown that, there are a greater number of statistically significant changes in the tissues of the brain and peripheral blood of mice with Adv-PSS and ESS models of PD compared to 6 h-PSS and 24 h-PSS models. In general, the obtained data indicate the sequential involvement of the transcriptome in the pathogenesis of PD, as well as the fact that changes at the transcriptome level of the processes of transport and mitochondrial biogenesis can play an important role in neurodegeneration in PD at an early stage.

Post-transcriptional regulation of several biological processes involved in latex production in Hevea brasiliensis.

BackgroundSmall RNAs modulate plant gene expression at both the transcriptional and post-transcriptional level, mostly through the induction of either targeted DNA methylation or transcript cleavage, respectively. Small RNA networks are involved in specific plant developmental processes, in signaling pathways triggered by various abiotic stresses and in interactions between the plant and viral and non-viral pathogens. They are also involved in silencing maintenance of transposable elements and endogenous viral elements. Alteration in small RNA production in response to various environmental stresses can affect all the above-mentioned processes. In rubber trees, changes observed in small RNA populations in response to trees affected by tapping panel dryness, in comparison to healthy ones, suggest a shift from a transcriptional to a post-transcriptional regulatory pathway. This is the first attempt to characterise small RNAs involved in post-transcriptional silencing and their target transcripts in Hevea.MethodsGenes producing microRNAs (MIR genes) and loci producing trans-activated small interfering RNA (ta-siRNA) were identified in the clone PB 260 re-sequenced genome. Degradome libraries were constructed with a pool of total RNA from six different Hevea tissues in stressed and non-stressed plants. The analysis of cleaved RNA data, associated with genomics and transcriptomics data, led to the identification of transcripts that are affected by 20–22 nt small RNA-mediated post-transcriptional regulation. A detailed analysis was carried out on gene families related to latex production and in response to growth regulators.ResultsCompared to other tissues, latex cells had a higher proportion of transcript cleavage activity mediated by miRNAs and ta-siRNAs. Post-transcriptional regulation was also observed at each step of the natural rubber biosynthesis pathway. Among the genes involved in the miRNA biogenesis pathway, our analyses showed that all of them are expressed in latex. Using phylogenetic analyses, we show that both the Argonaute and Dicer-like gene families recently underwent expansion. Overall, our study underlines the fact that important biological pathways, including hormonal signalling and rubber biosynthesis, are subject to post-transcriptional silencing in laticifers.

New Viral Sequences Identified in the Flavescence Dorée Phytoplasma Vector Scaphoideus titanus.

(1) Background: The leafhopper Scaphoideus titanus is the primary vector of Flavescence dorée phytoplasma (FDp) in European vineyards. Flavescence dorée is one of the most severely damaging diseases of Vitis vinifera and, consequently, a major threat to grape and wine production in several European countries. Control measures are compulsory, but they mainly involve large-scale insecticide treatments, with detrimental impacts on the environment. One possible solution is to exploit the largely unexplored genetic diversity of viruses infecting S. titanus as highly specific and environmentally benign tools for biological control. (2) Methods: A metatranscriptomic approach was adopted to identify viruses that may infect individuals caught in the wild in both its native (United States) and invasive (Europe) areas. Reverse transcription PCR was used to confirm their presence in RNA pools and explore their prevalence. (3) Results: We described nine new RNA viruses, including members of “Picorna-Calici”, “Permutotetra”, “Bunya-Arena”, “Reo”, “Partiti-Picobirna”, “Luteo-Sobemo” and “Toti-Chryso” clades. A marked difference in the diversity and abundance of the viral species was observed between the USA population and the European ones. (4) Conclusions: This work represents the first survey to assess the viral community of a phytoplasma insect vector. The possibility to exploit these naturally occurring viruses as specific and targeted biocontrol agents of S. titanus could be the answer to increasing demand for a more sustainable viticulture.

Valine-Induced Isoleucine Starvation in Escherichia coli K-12 Studied by Spike-In Normalized RNA Sequencing.

Escherichia coli cells respond to a period of famine by globally reorganizing their gene expression. The changes are known as the stringent response, which is orchestrated by the alarmone ppGpp that binds directly to RNA polymerase. The resulting changes in gene expression are particularly well studied in the case of amino acid starvation. We used deep RNA sequencing in combination with spike-in cells to measure global changes in the transcriptome after valine-induced isoleucine starvation of a standard E. coli K12 strain. Owing to the whole-cell spike-in method that eliminates variations in RNA extraction efficiency between samples, we show that ribosomal RNA levels are reduced during isoleucine starvation and we quantify how the change in cellular RNA content affects estimates of gene regulation. Specifically, we show that standard data normalization relying on sample sequencing depth underestimates the number of down-regulated genes in the stringent response and overestimates the number of up-regulated genes by approximately 40%. The whole-cell spike-in method also made it possible to quantify how rapidly the pool of total messenger RNA (mRNA) decreases upon amino acid starvation. A principal component analysis showed that the first two components together described 69% of the variability of the data, underlining that large and highly coordinated regulons are at play in the stringent response. The induction of starvation by sudden addition of high valine concentrations provoked prominent regulatory responses outside of the expected ppGpp, RpoS, and Lrp regulons. This underlines the notion that with the high resolution possible in deep RNA sequencing analysis, any different starvation method (e.g., nitrogen-deprivation, removal of an amino acid from an auxotroph strain, or valine addition to E. coli K12 strains) will produce measurable variations in the stress response produced by the cells to cope with the specific treatment.

Isolation and initial structure-functional characterization of endogenous tRNA-derived stress-induced RNAs

ABSTRACT Recent transcriptome-wide studies have identified a diverse pool of transfer RNA (tRNA)-derived RNAs or tRNA-derived fragments (tRFs). Some of these RNAs have been demonstrated to be functional and involved in multiple biological processes ranging from the regulation of gene expression to transgenerational epigenetic inheritance. Post-transcriptional maturation of tRNAs includes various processing events including extensive decoration by various RNA modifications, which are required for correct tRNA folding and stability. Moreover, tRNA modifications determine the pattern and specificity of tRNA cleavage. The major drawbacks of many studies in the field of tRFs are that most of them used synthetic RNAs that closely mimic endogenous tRFs in their sequence, yet lack RNA modification that is found in vivo. Here, we developed a simple method to isolate tRNA-derived stress-induced RNAs (tiRNAs), a specific subset of tRFs. Our approach is scalable, cost-effective and relies on the purification of individual tiRNAs based on a sequence-specific RNA/DNA isolation technique using DNA probes. Our method facilitates functional studies of tiRNAs by addressing how physiological RNA modifications within tRNA fragments affect their biological activities. Here, we report pilot functional studies on selected endogenous tiRNAs, namely tiRNAAla and tiRNAGly. We show that natural 5ʹ-tiRNAAla molecules assemble into G-quadruplex structures, and endogenous 5ʹ-tiRNAGly possesses translation inhibition activity.

Trafficking of siRNA precursors by the dsRBD protein Blanks in Drosophila

RNA interference targets aberrant transcripts with cognate small interfering RNAs, which derive from double-stranded RNA precursors. Several functional screens have identified Drosophila blanks/lump (CG10630) as a facilitator of RNAi, yet its molecular function has remained unknown. The protein carries two dsRNA binding domains (dsRBD) and blanks mutant males have a spermatogenesis defect. We demonstrate that blanks selectively boosts RNAi triggered by dsRNA of nuclear origin. Blanks binds dsRNA via its second dsRBD in vitro, shuttles between nucleus and cytoplasm and the abundance of siRNAs arising at many sites of convergent transcription is reduced in blanks mutants. Since features of nascent RNAs - such as introns and transcription beyond the polyA site – contribute to the small RNA pool, we propose that Blanks binds dsRNA formed by cognate nascent RNAs in the nucleus and fosters its export to the cytoplasm for dicing. We refer to the resulting small RNAs as blanks exported siRNAs (bepsiRNAs). While bepsiRNAs were fully dependent on RNA binding to the second dsRBD of blanks in transgenic flies, male fertility was not. This is consistent with a previous report that linked fertility to the first dsRBD of Blanks. The role of blanks in spermatogenesis appears thus unrelated to its role in dsRNA export.

Regulatory Noncoding Small RNAs Are Diverse and Abundant in an Extremophilic Microbial Community.

Regulatory small RNAs (sRNAs) play large-scale and essential roles in many cellular processes across all domains of life. Microbial sRNAs have been extensively studied in model organisms, but very little is known about the dynamics of sRNA synthesis and their roles in the natural environment. In this study, we discovered hundreds of intergenic (itsRNAs) and antisense (asRNAs) sRNAs expressed in an extremophilic microbial community inhabiting halite nodules (salt rocks) in the Atacama Desert. For this, we built SnapT, a new sRNA annotation pipeline that can be applied to any microbial community. We found asRNAs with expression levels negatively correlated with that of their overlapping putative target and itsRNAs that were conserved and significantly differentially expressed between 2 sampling time points. We demonstrated that we could perform target prediction and correlate expression levels between sRNAs and predicted target mRNAs at the community level. Functions of putative mRNA targets reflected the environmental challenges members of the halite communities were subjected to, including osmotic adjustments to a major rain event and competition for nutrients.IMPORTANCE Microorganisms in the natural world are found in communities, communicating and interacting with each other; therefore, it is essential that microbial regulatory mechanisms, such as gene regulation affected by small RNAs (sRNAs), be investigated at the community level. This work demonstrates that metatranscriptomic field experiments can link environmental variation with changes in RNA pools and have the potential to provide new insights into environmental sensing and responses in natural microbial communities through noncoding RNA-mediated gene regulation.

RNA Aptamers for a tRNA-Binding Protein from Aeropyrum pernix with Homologous Counterparts Distributed Throughout Evolution.

In the present in vitro selection study, we isolated and characterized RNA aptamers for a tRNA-binding protein (Trbp) from an extremophile archaeon Aeropyrum pernix. Trbp-like structures are frequently found not only in aminoacyl-tRNA synthetases but also in diverse types of proteins from different organisms. They likely arose early in evolution and have played important roles in evolution through interactions with key RNA structures. RNA aptamers specific for A. pernix Trbp were successfully selected from a pool of RNAs composed of 60 nucleotides, including a random 30-nucleotide region. From the secondary structures, we obtained a shortened sequence composed of 21 nucleotides, of which the 3′-terminal single stranded CA nucleotides are essential for binding. This may be related to the initial evolutionary role of the universal CCA-3′ terminus of tRNA in the interaction with Trbp-like structures.

Y-RNA subtype ratios in plasma extracellular vesicles are cell type- specific and are candidate biomarkers for inflammatory diseases

ABSTRACT Major efforts are made to characterize the presence of microRNA (miRNA) and messenger RNA in blood plasma to discover novel disease-associated biomarkers. MiRNAs in plasma are associated to several types of macromolecular structures, including extracellular vesicles (EV), lipoprotein particles (LPP) and ribonucleoprotein particles (RNP). RNAs in these complexes are recovered at variable efficiency by commonly used EV- and RNA isolation methods, which causes biases and inconsistencies in miRNA quantitation. Besides miRNAs, various other non-coding RNA species are contained in EV and present within the pool of plasma extracellular RNA. Members of the Y-RNA family have been detected in EV from various cell types and are among the most abundant non-coding RNA types in plasma. We previously showed that shuttling of full-length Y-RNA into EV released by immune cells is modulated by microbial stimulation. This indicated that Y-RNAs could contribute to the functional properties of EV in immune cell communication and that EV-associated Y-RNAs could have biomarker potential in immune-related diseases. Here, we investigated which macromolecular structures in plasma contain full length Y-RNA and whether the levels of three Y-RNA subtypes in plasma (Y1, Y3 and Y4) change during systemic inflammation. Our data indicate that the majority of full length Y-RNA in plasma is stably associated to EV. Moreover, we discovered that EV from different blood-related cell types contain cell-type-specific Y-RNA subtype ratios. Using a human model for systemic inflammation, we show that the neutrophil-specific Y4/Y3 ratios and PBMC-specific Y3/Y1 ratios were significantly altered after induction of inflammation. The plasma Y-RNA ratios strongly correlated with the number and type of immune cells during systemic inflammation. Cell-type-specific “Y-RNA signatures” in plasma EV can be determined without prior enrichment for EV, and may be further explored as simple and fast test for diagnosis of inflammatory responses or other immune-related diseases.

Dissecting the heterogeneity of the alternative polyadenylation profiles in triple-negative breast cancers.

Background: Triple-negative breast cancer (TNBC) is an aggressive malignancy with high heterogeneity. However, the alternative polyadenylation (APA) profiles of TNBC remain unknown. Here, we aimed to define the characteristics of the APA events at post-transcription level among TNBCs.Methods: Using transcriptome microarray data, we analyzed APA profiles of 165 TNBC samples and 33 paired normal tissues. A pooled short hairpin RNA screen targeting 23 core cleavage and polyadenylation (C/P) genes was used to identify key C/P factors.Results: We established an unconventional APA subtyping system composed of four stable subtypes: 1) luminal androgen receptor (LAR), 2) mesenchymal-like immune-activated (MLIA), 3) basal-like (BL), 4) suppressed (S) subtypes. Patients in the S subtype had the worst disease-free survival comparing to other patients (log-rank p = 0.021). Enriched clinically actionable pathways and putative therapeutic APA events were analyzed among each APA subtype. Furthermore, CPSF1 and PABPN1 were identified as the master C/P factors in regulating APA events and TNBC proliferation. The depletion of CPSF1 or PABPN1 weakened cell proliferation, enhanced apoptosis, resulted in cell cycle redistribution and a reversion of APA events of genes associated with tumorigenesis, proliferation, metastasis and chemosensitivity in breast cancer.Conclusions: Our findings advance the understanding of tumor heterogeneity regulation in APA and yield new insights into therapeutic target identification in TNBC.

Sample Pooling as a Strategy of SARS-CoV-2 Nucleic Acid Screening Increases the False-Negative Rate

Background: Identification of less costly and accurate methods for monitoring novel coronavirus disease 2019 (CoViD-19) transmission has attracted much interest in recent times. Here, we evaluated a pooling method to determine if this could improve screening efficiency and reduce costs while maintaining accuracy in Guangzhou, China. Methods: We evaluated 8097 throat swap samples collected from individuals who came for a health check-up or fever clinic in The Third Affiliated Hospital, Southern Medical University between March 4, 2020 and April 26, 2020. Samples were screened for CoViD-19 infection using the WHO-approved quantitative reverse transcription PCR (RT-qPCR) primers. The positive samples were classified into two groups (high or low) based on viral load in accordance with the CT value of COVID-19 RT-qPCR results. Each positive RNA samples were mixed with COVID-19 negative RNA or ddH2O to form RNA pools. Findings: Samples with high viral load could be detected in pool negative samples (up to 1/1000 dilution fold). In contrast, the detection of RNA sample from positive patients with low viral load in a pool was difficult and not repeatable. Interpretation Our results show that the COVID-19 viral load significantly influences in pooling efficacy. COVID-19 has distinct viral load profile which depends on the timeline of infection. Thus, application of pooling for infection surveillance may lead to false negatives and hamper infection control efforts. Funding Statement: This work was funded by grants from National Natural Science Foundation of China (No. 81502335), Hong Kong Scholars Program (XJ2017-146), Natural Science Foundation of Guangdong Province (No.2020A1515010081). Science and Technology Program of Guangzhou, China (No. 201704020127). Declaration of Interests: None reported. Ethics Approval Statement: The experimental procedures were approved by the Medical Ethics Committee of the Third Affiliated Hospital Of Southern Medical University, Guangzhou, China.

Large Phenotypic Enhancement of Structured Random RNA Pools.

Laboratory evolution of functional RNAs has applications in many areas of chemical and synthetic biology. In vitro selections critically depend on the presence of functional molecules, such as aptamers and ribozymes, in the starting sequence pools. For selection of novel functions the pools are typically transcribed from random-sequence DNA templates, yielding a highly diverse set of RNAs that contain a multitude of folds and biochemical activities. The phenotypic potential, the frequency of functional RNAs, is very low, requiring large complexity of starting pools, surpassing 1015 different sequences, to identify highly active isolates. Furthermore, the majority of random sequences is not structured and has a high propensity for aggregation; the in vitro selection process thus involves not just enrichment of functional RNAs, but also their purification from aggregation-prone "free-riders". We reasoned that purification of the nonaggregating, monomeric subpopulation of a random-sequence RNA pool will yield pools of folded, functional RNAs. We performed six rounds of selection for monomeric sequences and show that the enriched population is compactly folded. In vitro selections originating from various mixtures of the compact pool and a fully random pool showed that sequences from the compact pool always dominate the population once a biochemical activity is detectable. A head-to-head competition of the two pools starting from a low (5 × 1012) sequence diversity revealed that the phenotypic potential of the compact pool is about 1000-times higher than the fully random pool. A selection for folded and monomeric RNA pools thus greatly increases the frequency of functional RNAs from that seen in random-sequence pools, providing a facile experimental approach to isolation of highly active functional RNAs from low-diversity populations.