A comprehensive profile of circulating RNAs in human serum.

Non-coding RNA (ncRNA) molecules have fundamental roles in cells and many are also stable in body fluids as extracellular RNAs. In this study, we used RNA sequencing (RNA-seq) to investigate the profile of small non-coding RNA (sncRNA) in human serum. We analyzed 10 billion Illumina reads from 477 serum samples, included in the Norwegian population-based Janus Serum Bank (JSB). We found that the core serum RNA repertoire includes 258 micro RNAs (miRNA), 441 piwi-interacting RNAs (piRNA), 411 transfer RNAs (tRNA), 24 small nucleolar RNAs (snoRNA), 125 small nuclear RNAs (snRNA) and 123 miscellaneous RNAs (misc-RNA). We also investigated biological and technical variation in expression, and the results suggest that many RNA molecules identified in serum contain signs of biological variation. They are therefore unlikely to be random degradation by-products. In addition, the presence of specific fragments of tRNA, snoRNA, Vault RNA and Y_RNA indicates protection from degradation. Our results suggest that many circulating RNAs in serum can be potential biomarkers.

Effect of multiple freeze-thaw cycles on selected biochemical serum components.

BACKGROUND: To maintain the best performance a frozen serum sample should be thawed once to prevent repeated freeze-thaw cycles. Archival biobanks often have one tube of a sample available, causing repeated freeze-thaw cycles when the sample is used in multiple research projects. In this study, we investigated potential effects of freeze-thaw cycles on several biochemical components in serum. METHODS: Serum from 40 fasting donors of both genders, aged 30-60 years, were frozen at -25 °C. Aliquots of the 40 different samples went through 1, 2, 3, 4, 5 and 10 thaws, respectively. They were analyzed after 3 month of storage for 15 serum components including electrolytes and metabolites, proteins and enzymes, lipids, hormones and vitamins. One-way analyses of variance (ANOVA) with repeated measurements and equivalence tests were used to examine differences in component levels. RESULTS: Albumin, aspartate-aminotransferase (ASAT), cholesterol, creatinine, C-reactive protein, glucose, immunoglobulin G, potassium, testosterone, triglycerides, urea and vitamin B12 levels did not show significant difference for pairwise comparisons after 10 repeated thaws. Although albumin, ASAT, bilirubin, potassium, sodium, testosterone and thyroid stimulating hormone (TSH) showed overall statistically significant changes in serum levels, only bilirubin, sodium and TSH were significant for the pairwise comparisons investigated. Clinical significance were shown for albumin, ASAT, bilirubin, sodium and testosterone. CONCLUSIONS: Twelve components (albumin, ASAT, cholesterol, creatinine, C-reactive protein, glucose, immunoglobulin G, potassium, testosterone, triglycerides, urea and vitamin B12) were robust to 10 repeated thaws compared to baseline level. Three components (bilirubin, sodium and TSH) showed statistical significant difference for pairwise comparisons, however, TSH was not clinically affected.

A Simple and Cost-Effective Method for Measuring Hemolysis in Biobank Serum Specimens.

Background: During sampling and processing, blood samples can be affected by hemolysis. Information is lacking regarding hemolysis for biobank samples. There is a need for a method that can easily measure hemoglobin as an indicator of hemolysis in stored samples before they are included in research projects. In this study we present a simple method for estimating hemolysis and investigate the effect of centrifugation speeds and temperatures on sample turbidity that commonly interferes with measurements. Methods: Using a variation of the Beer-Lambert law, we quantified the hemoglobin concentration in 75 long-term stored samples at a wavelength of 414 nm with a NanoDrop™ 8000 spectrophotometer. Owing to interference from turbidity, the samples underwent different treatments post-thawing: centrifugation at 10,000 and 20,000 g at two different temperatures (4°C and 19°C) for 15 minutes. In addition, freshly collected serum samples (n = 20) underwent a single freeze-thaw cycle, with hemoglobin measured prefreeze, post-thaw, and postcentrifugation. Kruskal-Wallis rank sum test groups and pairwise Wilcoxon rank test were used for statistical analysis. Results: A strong effect of centrifugation on the turbidity was shown for the long-term stored samples, however, this effect was independent of the temperature or centrifugation speeds. Centrifugation at 20,000 g for 15 minutes at 19°C reduced the turbidity up to 50%. A single freeze-thaw cycle in the fresh samples increased the optical density at 414 nm slightly, indicating a false increase of hemoglobin concentration. The following centrifugation reduced the concentration to less than the initial sample measurements, suggesting the presence of interference immediately after sampling. Conclusion: We describe here a simple and cost-effective NanoDrop-based method for measuring hemolysis levels intended for use in biobank facilities. We found that centrifugation, but not temperature, is a crucial step to reduce interference from turbidity.

Ultralow amounts of DNA from long-term archived serum samples produce high-quality methylomes.

BACKGROUND: Long-term stored serum is considered challenging for epigenomic analyses: as there are no cells, circulating DNA is scarce, and amplification removes epigenetic signals. Additionally, pre-analytical treatments and storage might introduce biases and fragmentation to the DNA. In particular, starting with low-input DNA can result in low-diversity libraries. However, successful whole-genome bisulphite sequencing (WGBS) of such serum samples has the potential to open biobanks for epigenetic analyses and deliver novel prediagnostic biomarkers. Here, we perform WGBS using the Accel-NGS library preparation kit on ultralow amounts of DNA from long-term archived samples with diverse pretreatments from the Janus Serum Bank. RESULTS: Ninety-four of the 96 samples produced satisfactory methylation calls; an average of 578 M reads per sample generated a mean coverage of 17× and mean duplication level of 35%. Failed samples were related to poor bisulphite conversion rather than to sequencing or library preparation. We demonstrate the feasibility of WGBS on ultralow DNA yields from serum samples stored up to 48 years. CONCLUSIONS: Our results show the potential of large serum biobank collections for future epigenomic studies and biomarker discovery.

Ultralow amounts of DNA from long-term archived serum samples produce quality genotypes.

While genotyping studies are scavenging for suitable samples to analyze, large serum collections are currently left unused as they are assumed to provide insufficient amounts of DNA for array-based genotyping. Long-term stored serum is considered to be difficult to genotype since preanalytical treatments and storage effects on DNA yields are not well understood. Successful genotyping of such samples has the potential to activate large biobanks for future genome-wide association studies (GWAS). We aimed to evaluate genotyping of ultralow amounts of DNA from samples stored up to 45 years in the Janus Serum Bank with two commercially available platforms. 64 samples, with various preanalytical treatments, were genotyped on the Axiom Array from Thermo Fisher Scientific and a subset of 24 samples with slightly higher yield were genotyped on the HumanCoreExome array from Illumina. Our results showed that about 80% of the serum samples produced call rates with the Axiom arrays that would be satisfactory in GWAS. The mean DNA yield was 5.8 ng as measured with PicoGreen, 3-6% of recommended yield. The failed samples had on average lower input amounts of DNA. All serum samples genotyped on the HumanCoreExome with a standard and FFPE protocol produced GWAS satisfactory call rates, with mean 97.57% and 98.35% call rates, respectively. The mean yield was 10.65 ng, 6% of the recommendations. Successful array-based genotyping of ultralow DNA yields from serum samples stored up to 45 years is possible. These results demonstrate the potential to activate large serum biobank collections for future studies.

microRNA Biomarker Discovery and High-Throughput DNA Sequencing Are Possible Using Long-term Archived Serum Samples.

BACKGROUND: The impacts of long-term storage and varying preanalytical factors on the quality and quantity of DNA and miRNA from archived serum have not been fully assessed. Preanalytical and analytical variations and degradation may introduce bias in representation of DNA and miRNA and may result in loss or corruption of quantitative data. METHODS: We have evaluated DNA and miRNA quantity, quality, and variability in samples stored up to 40 years using one of the oldest prospective serum collections in the world, the Janus Serumbank, a biorepository dedicated to cancer research. RESULTS: miRNAs are present and stable in archived serum samples frozen at -25°C for at least 40 years. Long-time storage did not reduce miRNA yields; however, varying preanalytical conditions had a significant effect and should be taken into consideration during project design. Of note, 500 µL serum yielded sufficient miRNA for qPCR and small RNA sequencing and on average 650 unique miRNAs were detected in samples from presumably healthy donors. Of note, 500 µL serum yielded sufficient DNA for whole-genome sequencing and subsequent SNP calling, giving a uniform representation of the genomes. CONCLUSIONS: DNA and miRNA are stable during long-term storage, making large prospectively collected serum repositories an invaluable source for miRNA and DNA biomarker discovery. IMPACT: Large-scale biomarker studies with long follow-up time are possible utilizing biorepositories with archived serum and state-of-the-art technology.