Reliable miRNA Research Articles

DNA self-assembled FeNxC nanocatalytic network for ultrasensitive electrochemical detection of microRNA

Accurate detection of microRNA (miRNA) is challenging but essential for disease diagnostics and therapeutics. To meet the high demands of miRNA analysis, we proposed a highly sensitive and specific electrochemical strategy based on duplex-specific nuclease (DSN)-assisted target recycling and DNA self-assembled FeNxC nanocatalytic network for precise quantitation of miRNA-21 as a model. FeNxC nanospherical catalyst with high peroxidase-mimicking activity was synthesized through high-temperature pyrolysis and modified with DNA. The identification of miRNA-21 by elaborately designed capture probe triggered DSN-assisted target recycling. Subsequently, self-assembled FeNxC nanocatalytic network was constructed on the sensor surface through DNA hybridization reaction, whose signal response was demonstrated to be 4.272-fold higher than the single layer of FeNxC. By virtue of such cascade signal amplification, ultrasensitive electrochemical detection of miRNA-21 was realized in a dynamic range of 0.5fM - 1 pM with a detection limit of 0.2805fM. Additionally, the proposed strategy exhibited high specificity for miRNA-21 and practical applicability in real sample analysis, demonstrating promising potential for the reliable miRNA analysis in disease diagnosis and therapy applications.

Identification of miRNA biomarkers for stomach adenocarcinoma

BackgroundStomach adenocarcinoma (STAD) is a common malignant tumor in the world and its prognosis is poor, miRNA plays a role mainly by influencing the expression of mRNAs, and participates in the occurrence and development of tumors. However, reliable miRNA prognostic models for stomach adenocarcinoma remain to be identified.ResultsUsing the data from the Cancer Genome Atlas (TCGA), a prognostic model of stomach adenocarcinoma was established including tumor stage and expression levels of 4 miRNAs (hsa-miR-379-3p, hsa-miR-2681-3p, hsa-miR-6499-5p and hsa-miR-6807-3p). A total of 50 ultimate target genes of these miRNAs were obtained through prediction. Enrichment analysis revealed that target genes were mainly concentrated in neural function and TGF-β and FoxO signaling pathways. Survival analysis showed that three model miRNAs (hsa-miR-379-3p, hsa-miR-2681-3p and hsa-miR-6807-3p) and five final target genes (DLC1, LRFN5, NOVA1, POU3F2 and PRICKLE2) were associated with the patient's overall survival outcome.ConclusionsWe used bioinformatics methods to screen new prognostic miRNA markers from TCGA and established a prognostic model of STAD, so as to provide a basis for the diagnosis, prognosis, and treatment of STAD in the future.

Targeting of MAD2L1 by miR-515-5p involves the regulation of cell cycle arrest and apoptosis of colorectal cancer cells.

Although many previous studies have found that the mitotic arrest deficient 2-like 1 (MAD2L1) protein contributes to the proliferation of colorectal cancer (CRC) cells, but the upstream mechanism of MAD2L1 is still largely elusive. This study aimed to explore the microRNAs (miRNAs) upstream of MAD2L1 to improve our understanding of the mechanism of the MAD2L1 gene in CRC. The upstream target miRNAs (miR-515-5p) of MAD2L1 were predicted by the online databases miRWalk, miRDIP, and TargetScan. Quantitative real-time PCR (qRT-PCR) was used to detect the expression level of miR-515-5p in human CRC tissues. The targeting relationship between miR-515-5p and MAD2L1 was tested by dual luciferase reporter gene assays. The effects of miR-515-5p on the biological behaviors of CRC cells by regulating MAD2L1 expression were verified by qRT-PCR, western blot, Cell Counting Kit-8, and flow cytometry. The results showed that miR-515-5p was a highly reliable upstream miRNA of the MAD2L1 gene. As an upstream target miRNA of MAD2L1, miR-515-5p was lowly expression in CRC tissues. The overexpression of miR-515-5p could inhibit the proliferation of CRC cells and induce cell cycle arrest at the G1 phase leading to cell apoptosis. However, MAD2L1 gene overexpression could reverse the effects of miR-515-5p overexpression on the biological behaviors of CRC cells above. This study illustrated that miR-515-5p can inhibit proliferation and induce G1 phase arrest leading to apoptosis in CRC cells. The mechanism underlying this phenomenon may be related to the negative targeted regulation of MAD2L1.

Considerations and Suggestions for the Reliable Analysis of miRNA in Plasma Using qRT-PCR.

MicroRNAs (miRNAs) are promising molecules that can regulate gene expression, and their expression level and type have been associated with early diagnosis, targeted therapy, and prognosis of various diseases. Therefore, analysis of miRNA in the plasma or serum is useful for the discovery of biomarkers and the diagnosis of implicated diseases to achieve potentially unprecedented progress in early treatment. Numerous methods to improve sensitivity have recently been proposed and confirmed to be valuable in miRNA detection. Specifically, quantitative reverse-transcription polymerase chain reaction (qRT-PCR) is an effective and common method for sensitive and specific analysis of miRNA from biological fluids, such as plasma or serum. Despite this, the application of qRT-PCR is limited, as it can be affected by various contaminants. Therefore, extraction studies have been frequently conducted to maximize the extracted miRNA amount while simultaneously minimizing contaminants. Moreover, studies have evaluated extraction efficiency and normalization of the extracted sample. However, variability in results among laboratories still exists. In this review, we aimed to summarize the factors influencing the qualification and quantification of miRNAs in the plasma using qRT-PCR. Factors influencing reliable analysis of miRNA using qRT-PCR are described in detail. Additionally, we aimed to describe the importance of evaluating extraction and normalization for reliable miRNA analysis and to explore how miRNA detection accuracy, especially from plasma, can be improved.

Framework Nucleic Acid-Based Spatial-Confinement Amplifier for miRNA Imaging in Living Cells.

Real-time in situ monitoring of miRNAs in living cells is often appealed to signal amplifiers to tackle their low abundance challenges. However, the poor kinetics of amplifiers and potential interferences from the complex intracellular environment hamper its widespread applications in vivo. Herein, we report a framework nucleic acid (FNA)-based nonenzymatic spatial-confinement amplifier for rapid and reliable intracellular miRNA imaging. The amplifier consists of a localized catalytic hairpin assembly (L-CHA) reactor encapsulated in the inner cavity of an FNA (a 20 bp cube). The L-CHA reactor is certainly confined to the internal frame by integrating two probes (H1 and H2) of the L-CHA within a DNA strand and harnessing it to the opposite angles of the cube. We find that the stability of the amplifier is remarkably improved due to the protection of the FNA. More importantly, the spatial-confinement effect of the FNA can endow the confined L-CHA amplifier with enhanced local concentrations of reagents (5000-fold), thereby accelerating the reaction rate and improving the dynamic performance (up to 14.34-fold). With these advantages, the proposed amplifier can enable accurate and effective monitoring of miRNA expression levels in living cells and poses great potential in medical diagnostics and biomedical research.

Spatially-extended 3D magnetic DNA nanodevice-based split-type photoelectrochemical strategy for sensitive and reliable miRNA detection in cancer cells.

Highly sensitive and reliable PEC detection of miRNAs still faces some challenges like the inaccuracy caused by coexisting interferences in the PEC system. Herein, we developed a split-type "turn-off" PEC biosensor based on spatially-extended 3D magnetic DNA nanodevices with high-order DNA amplifiers for sensitive detection of miRNAs in cancer cells.

An Endogenous miRNA-Initiated Hybridization Chain Reaction and Subsequent DNAzyme Activation for Cellular Theranostics

An Endogenous miRNA-Initiated Hybridization Chain Reaction and Subsequent DNAzyme Activation for Cellular Theranostics

Comprehensive Annotation and Functional Exploration of MicroRNAs in Lettuce

MicroRNA (miRNA) is an important endogenous post-transcriptional regulator, while lettuce (Lactuca sativa) is a leafy vegetable of global economic significance. However, there are few studies on miRNAs in lettuce, and research on miRNA regulatory network in lettuce is absent. In this study, through deep sequencing of small RNAs in different tissues, together with a reference genome, 157 high-confidence miRNA loci in lettuce were comprehensively identified, and their expression patterns were determined. Using a combination of computational prediction and high-throughput experimental verification, a set of reliable lettuce miRNA targets were obtained. Furthermore, through RNA-Seq, the expression profiles of these targets and a comprehensive view of the negative regulatory relationship between miRNAs and their targets was acquired based on a correlation analysis. To further understand miRNA functions, a miRNA regulatory network was constructed, with miRNAs at the core and combining transcription factors and miRNA target genes. This regulatory network, mainly composed of feed forward loop motifs, greatly increases understanding of the potential functions of miRNAs, and many unknown potential regulatory links were discovered. Finally, considering its specific expression pattern, Lsa-MIR408 as a hub gene was employed to illustrate the function of the regulatory network, and genetic experiments revealed its ability to increase the fresh weight and achene size of lettuce. In short, this work lays a solid foundation for the study of miRNA functions and regulatory networks in lettuce.

Polyphenols from Hippophae rhamnoides suppressed colon cancer growth by regulating miRNA-mediated cell cycle arrest and apoptosis in vitro and in vivo

• HPs60 treatment result in alteration of miRNA expression profile, among which, 29 up-regulated and 9 down-regulated. • Hsa-miR-195-5p, hsa-miR-497-5p and hsa-miR-1247-3p are the reliable targets of HPs60. • HPs60 up-regulate miR-195-5p/497-5p expression, suppresses that of cyclin D1/2/2 and cyclin E1, then leads to G1 arrest. • HPs60 promotes miR-1247-3p-mediated expression of caspase 2, and inhibits that of miR-195-5p/497-5p-mediated Bcl-2, ultimately induces apoptosis. Colorectal cancer (CRC) is the most common gastrointestinal cancer. Hippophae rhamnoides are reported to possess a variety of active substances. MiRNAs are new therapeutic targets. Here, it found that Hippophae rhamnoides L. polyphenols (named as HPs60) exhibited significant anti-colon cancer activity in vitro and in vivo . And the main components were identified by LC-MS as kaempferol and its derivatives. Subsequently, by RNA-sequencing and searching GEO and TCGA database, three reliable miRNAs including hsa-miR-195-5p, hsa-miR-497-5p and hsa-miR-1247-3p were eventually screened. As expected, hsa-miR-195-5p and hsa-miR-497-5p were upregulated upon HPs60 treatment, while hsa-miR-1247-3p was downregulated. Furthermore, HPs60 remarkably suppressed the expression of cyclinD1, cyclinD2, cyclinD3, cyclinE1 and Bcl-2, which are the targets of miR-195-5p and miR-497-5p. Correspondingly, HPs60 promoted expression of caspase-2, a target gene of miR-1247-3p. All of these results suggest that HPs60 may explore as natural bioactive ingredients and reveal the potential therapeutic targets responsible for HPs60 against CRC.

Reliable miRNA biomarker quantification in clinical practice – are we there yet?

Blood-borne miRNAs serve as disease diagnostic biomarkers and await clinical validation. Here, we evaluated Cel-miR-39-3p and miRNA16-5p as calibrator for the quantification of 15 miRNAs linked to hepatic impairment. We added defined copy numbers of Cel-miR-39-3p to plasma of healthy controls (N=5) and patient samples undergoing liver resection (N=51). The miRNAs were isolated according to SOPs and quantified by RT-qPCR using the 2-(ΔΔ-CT)-method. Although miRNA16-5p and the spike-in control behaved similar in qPCR assays (R2=0.8591) the spike-in control suffered from high inter-patient variability (median 7.6-fold) and low recoveries (median 5.6%, 95% CI 1.5-11.8%). Adding Cel-miR-39-3p to blood samples prior to RNA-isolation improved the recoveries (median 105.7%; 95% CI 29.9-219.9%), yet the inter-patient variability remained high (median 7.2-fold). Alike, we observed significant variability in CT-values for miRNA16-5p (range 14.7-fold) thus rendering this internal, blood-borne reference gene unacceptable as comparator. Specifically, 10 out of 15 diagnostic miRNAs failed the criteria R2≥0.8 even though we added a defined copy number of Cel-miR-39-3p. This suggests interference of the spike-in control with individual miRNAs in the assay. Our study highlights current limitations in the quantification of blood-borne miRNAs that is of particularly importance when used for disease diagnostic and therapeutic interventions.

Endogenous miRNA-Activated DNA Nanomachine for Intracellular miRNA Imaging and Gene Silencing.

The development of multifunctional nanoplatforms that integrate both diagnostic and therapeutic functions has always been extremely desirable and challenging in the cancer combat. Here, we report an endogenous miRNA-activated DNA nanomachine (EMDN) in living cells for concurrent sensitive miRNA imaging and activatable gene silencing. EMDN is constructed by interval hybridization of two functional DNA monomers (R/HP and F) to a DNA nanowire generated by hybridization chain reaction. After the target cell-specific transportation of EMDN, intracellular let-7a miRNA initiates the DNA nanomachine by DNA strand displacement cascades, resulting in an amplified fluorescence resonance energy-transfer signal and the release of many free HP sequences. The restoration of HP hairpin structures further activates the split-DNAzyme to identify and cleave the EGR-1 mRNA to realize gene silencing therapy. The proposed EMDN shows efficient cell internalization, good biological stability, rapid reaction kinetics, and the ability to avoid false-positive signals, thus ensuring reliable miRNA imaging in living cells. Meanwhile, the controlled activation of the split-DNAzyme activity regulated by the intracellular specific miRNA may be promising in the precise treatment of cancer. Collectively, this strategy provides a valuable nanoplatform for early clinical diagnosis and activatable gene therapy of tumors.

MiRNA Profiling of Hungarian Regressive Wilms’ Tumor Formalin-Fixed Paraffin-Embedded (FFPE) Samples by Quantitative Real-Time Polymerase Chain Reaction (RT-PCR)

BackgroundWilms’ tumor is a common renal malignancy of early childhood with a generally favorable prognosis depending upon histological subtype. It is becoming increasingly clear that differences in miRNA (microRNA) expression signature represent important clues helping us predict a tumor’s response to chemotherapy. In our study, we aimed to reveal miRNAs deregulated in regressive Wilms’ tumors from FFPE (formalin-fixed, paraffin-embedded) samples, also showing whether such samples are reliable miRNA sources in Wilms’ tumor.Material/MethodsSamples from 8 Hungarian patients (3 males, 5 females, aged 1 to 7 years) were analyzed by qRT-PCR (quantitative real-time PCR). A PCR array was used in a pilot experiment, and selected miRNAs (miR-128-3p, miR-184, miR-194-5p, miR-203a) were studied in the rest of the samples using individual primers.ResultsmiR-194-5p was underexpressed in all tumor samples. miR-184 and miR-203a were underexpressed in 7 cases, the exception being a case with a high ratio of necrotic blastemal tissue. Results obtained with miR-128-3p are difficult to interpret due to varying directions of expression changes.ConclusionsWe conclude that a downregulation of miR-184, miR-194-5p, and miR-203a expression is observed in both regressive and blastemal tumors, but larger-scale studies are needed to confirm whether the degree of their underexpression correlates with the number of blastemal elements in a sample. In most of our FFPE samples aged up to 9 years, RNA extraction provided miRNA with quantity and quality sufficient for qRT-PCR-based analysis, emphasizing the relevance of pathological archives as miRNA sources in future studies.

TarDB: an online database for plant miRNA targets and miRNA-triggered phased siRNAs

BackgroundIn plants, microRNAs (miRNAs) are pivotal regulators of plant development and stress responses. Different computational tools and web servers have been developed for plant miRNA target prediction; however, in silico prediction normally contains false positive results. In addition, many plant miRNA target prediction servers lack information for miRNA-triggered phased small interfering RNAs (phasiRNAs). Creating a comprehensive and relatively high-confidence plant miRNA target database is much needed.ResultsHere, we report TarDB, an online database that collects three categories of relatively high-confidence plant miRNA targets: (i) cross-species conserved miRNA targets; (ii) degradome/PARE (Parallel Analysis of RNA Ends) sequencing supported miRNA targets; (iii) miRNA-triggered phasiRNA loci. TarDB provides a user-friendly interface that enables users to easily search, browse and retrieve miRNA targets and miRNA initiated phasiRNAs in a broad variety of plants. TarDB has a comprehensive collection of reliable plant miRNA targets containing previously unreported miRNA targets and miRNA-triggered phasiRNAs even in the well-studied model species. Most of these novel miRNA targets are relevant to lineage-specific or species-specific miRNAs. TarDB data is freely available at http://www.biosequencing.cn/TarDB.ConclusionsIn summary, TarDB serves as a useful web resource for exploring relatively high-confidence miRNA targets and miRNA-triggered phasiRNAs in plants.

Pre-amplification as a method for improvement of quantitative RT-PCR analysis of circulating miRNAs.

IntroductionThe assessment of circulating miRNAs is challenging and still limited due to their low concentrations, small size and lack of reference values in human biological samples. Pre-amplification of complementary DNAs may facilitate reliable miRNA quantification. The aim of our study was to evaluate the efficacy of pre-amplification as a step to increase the sensitivity of qPCR analysis for five candidate circulating miRNAs presumably related to toxic metals and cigarette smoke exposure: miR-1537, miR-190b, miR-16, miR-21, and miR-146a.Materials and methodsCandidate miRNAs expression was analysed in plasma samples of 19 mother-newborn pairs. For isolation, transcription, pre-amplification and qPCR quantification kits and protocols by Qiagen (Hilden, Germany) were used. Paired t-test or Wilcoxon rank test were used to compare miRNAs expression levels with and without a pre-amplification step prior to qPCR, separately in maternal and cord plasma. Intraclass correlation (ICC) was calculated as an agreement measure between procedures for each miRNA.ResultsPre-amplification facilitated the detection of all assayed miRNAs with an overall cycle threshold (CT) improvement of 6.6 ± 0.89 (P < 0.05). Excellent ICCs (> 0.90) were found between data for preamplified and not preamplified miR-16, miR-21 and miR-146a. However, these correlations for low expressed miR-190b were moderate (0.79 in maternal; 0.61 in cord plasma) and poor for miR-1537 (0.49 in maternal; no correlation in cord plasma).ConclusionPre-amplification is a useful, necessary step in the analysis of miR-1537 and miR-190b as a reliable procedure facilitating extracellular miRNA expression detection in human plasma by real-time PCR quantification.

A Cluster-Based Approach for Identifying Prognostic microRNA Signatures in Digestive System Cancers.

Cancer remains the second leading cause of death all over the world. Aberrant expression of miRNA has shown diagnostic and prognostic value in many kinds of cancer. This study aims to provide a novel strategy to identify reliable miRNA signatures and develop improved cancer prognostic models from reported cancer-associated miRNAs. We proposed a new cluster-based approach to identify distinct cluster(s) of cancers and corresponding miRNAs. Further, with samples from TCGA and other independent studies, we identified prognostic markers and validated their prognostic value in prediction models. We also performed KEGG pathway analysis to investigate the functions of miRNAs associated with the cancer cluster of interest. A distinct cluster with 28 cancers and 146 associated miRNAs was identified. This cluster was enriched by digestive system cancers. Further, we screened out 8 prognostic miRNA signatures for STAD, 5 for READ, 18 for PAAD, 24 for LIHC, 12 for ESCA and 18 for COAD. These identified miRNA signatures demonstrated strong abilities in discriminating the overall survival time between high-risk group and low-risk group (p-value < 0.05) in both TCGA training and test datasets, as well as four independent Gene Expression Omnibus (GEO) validation datasets. We also demonstrated that these cluster-based miRNA signatures are superior to signatures identified in single cancers for prognosis. Our study identified significant miRNA signatures with improved prognosis accuracy in digestive system cancers. It also provides a novel method/strategy for cancer prognostic marker selection and offers valuable methodological directions to similar research topics.

IL6-mediated HCoV-host interactome regulatory network and GO/Pathway enrichment analysis.

During these days of global emergency for the COVID-19 disease outbreak, there is an urgency to share reliable information able to help worldwide life scientists to get better insights and make sense of the large amount of data currently available. In this study we used the results presented in [1] to perform two different Systems Biology analyses on the HCoV-host interactome. In the first one, we reconstructed the interactome of the HCoV-host proteins, integrating it with highly reliable miRNA and drug interactions information. We then added the IL-6 gene, identified in recent publications [2] as heavily involved in the COVID-19 progression and, interestingly, we identified several interactions with the reconstructed interactome. In the second analysis, we performed a Gene Ontology and a Pathways enrichment analysis on the full set of the HCoV-host interactome proteins and on the ones belonging to a significantly dense cluster of interacting proteins identified in the first analysis. Results of the two analyses provide a compact but comprehensive glance on some of the current state-of-the-art regulations, GO, and pathways involved in the HCoV-host interactome, and that could support all scientists currently focusing on SARS-CoV-2 research.

Identification of microRNA expression signature for the diagnosis and prognosis of cervical squamous cell carcinoma

Cervical cancer is the fourth leading cause of cancer death among women globally. The prognosis of cervical cancer patients differs considerably, and clinical outcomes are difficult to predict. Given the significant roles of miRNAs in human cancers, identification of novel and reliable miRNA biomarkers is important for targeted cervical cancer therapy. In the present study, we aimed to reveal biological significance of miR-200a, miR-423, miR-34a, miR-193a, and miR-455 for the prognosis and diagnosis of cervical cancer and their association with the clinical outcomes of patients. Distinct expression profiles of miRNAs in formalin-fixed paraffin-embedded tissue samples of patients and healthy controls were evaluated using qRT-PCR. We identified miR-200a, miR-455, and miR-34a were significantly downregulated in cervical squamous cell carcinoma tissues compared to normal cervix tissue from healthy controls. Both miR-455 and miR-34a confer a promising diagnostic factor for the cervical cancer while miR-200a showed no significance in ROC analysis. Notably, low expression of miR-34a was markedly associated with the poor overall survival of cervical cancer patients as revealed by Kaplan-Meier survival analysis. Also, univariate and multivariate analysis indicated miR-34a expression as an independent prognostic factor. Consequently, our results underline the importance of distinct expression miRNAs in cervical squamous cell carcinoma.

Sensitive detection of exosomal MiRNA for cardiovascular diseases with target initiate proximity ligation assay (TIPLA)

Abstract Reliable trace exosomal miRNA detection remains challenging. Herein, we established a universal Target Initiate Proximity Ligation Assay (TIPLA), to sensitively detect miRNA by integrating target miRNA initiate cycle and proximity ligation triggered rolling circle amplification (RCA). The outstanding features of this approach is calculated as: i) three signal amplification composed by target miRNA cycle, proximity ligation initiated RCA and magnet-based enrichment ensure high-sensitive detection of exosomal miRNA with a sensitivity of 30.25 fM; ii) direct detection of miRNAs without additional reverse transcription procedure inevitable in conventional nucleic acid detection methods. This dual amplification made TIPLA a sensitive approach to detect exosomal miRNA from both culture cells and cardiovascular disease patients, revealing a potential universal molecular detection platform for the screening, diagnosis, and prognosis prediction of multiple diseases.

Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs.

Accumulating evidence has shown that microRNAs (miRNAs) play crucial roles in different biological processes, and their mutations and dysregulations have been proved to contribute to tumorigenesis. In silico identification of disease-associated miRNAs is a cost-effective strategy to discover those most promising biomarkers for disease diagnosis and treatment. The increasing available omics data sources provide unprecedented opportunities to decipher the underlying relationships between miRNAs and diseases by computational models. However, most existing methods are biased towards a single representation of miRNAs or diseases and are also not capable of discovering unobserved associations for new miRNAs or diseases without association information. In this study, we present a novel computational method with adaptive multi-source multi-view latent feature learning (M2LFL) to infer potential disease-associated miRNAs. First, we adopt multiple data sources to obtain similarity profiles and capture different latent features according to the geometric characteristic of miRNA and disease spaces. Then, the multi-modal latent features are projected to a common subspace to discover unobserved miRNA-disease associations in both miRNA and disease views, and an adaptive joint graph regularization term is developed to preserve the intrinsic manifold structures of multiple similarity profiles. Meanwhile, the Lp,q-norms are imposed into the projection matrices to ensure the sparsity and improve interpretability. The experimental results confirm the superior performance of our proposed method in screening reliable candidate disease miRNAs, which suggests that M2LFL could be an efficient tool to discover diagnostic biomarkers for guiding laborious clinical trials.

Comparison of methods for miRNA isolation and quantification from ovine plasma

microRNA (miRNA) are promising candidates for disease biomarkers as they are abundant in circulation, highly stable in biological fluids and may yield diagnostic biomarker signatures. The reported issues with miRNA isolation using traditional RNA reagents necessitates the optimisation of miRNA isolation from challenging samples. In this study we compared six commercial RNA extraction kits to evaluate their ability to isolate miRNA from ovine plasma. We also compared three methods for quantification of small RNA extracted from plasma to determine the most reliable. Using minimal sample inputs of fresh and frozen plasma from five sheep, we compared the six kits (Kit A-F) using quantitative PCR. Operational factors were also assessed for each kit. Kits A and B provided the best detection of the miRNA qPCR reference genes across fresh and frozen samples (p < 0.001) followed by Kit C. The Qubit and microRNA assay provided the least variation (% CV 5.47, SEM ± 0.07), followed by the NanoDrop (% CV 7.01, SEM ± 0.92) and Agilent Bioanalyzer (% CV 59.21, SEM ± 1.31). We identify Kit A to be optimal for isolating miRNA from small volumes of fresh and frozen ovine plasma, and Kit B the top performing kit taking into consideration miRNA detection and operational factors. The Qubit fluorometer using a microRNA assay was the most reliable miRNA quantification method.