RNA Integrity Number Values Research Articles

Comparison of commercially available DNA and RNA extraction kits for wildlife feces collected from the environment.

Wildlife fecal samples were collected across two Air Force installations to evaluate the effectiveness of commercially available DNA and RNA extraction kits. Four DNA kits, two DNA/RNA kits and one RNA only kit were used. Sample extracts were evaluated on nucleic acid concentration, TapeStation DNA or RNA Integrity Number values and presence of PCR inhibitors. For the DNA kits, PFP produced higher concentrations compared with PLM and RPM, while MWFM gave higher DNA Integrity Number values when compared with RPM. No PCR inhibition was detected. For the RNA kits, RPM gave higher concentrations compared with MWTV and no differences were seen in RNA Integrity Number values. PCR inhibition was observed in all RNA samples, with MWTV exhibiting higher inhibition compared with RPM.

Screening of NIAS World Rice Core Collection for Seeds with Long Longevity as Useful Potential Breeding Materials Focusing on the Stability of Embryonic RNAs.

Seed longevity is a crucial trait for the seed industry and genetic resource preservation. To develop excellent cultivars with extended seed lifespans, it is important to understand the mechanism of keeping seed germinability long term and to find useful genetic resources as prospective breeding materials. This study was conducted to identify the best cultivars with a high and stable seed longevity trait in the germplasm of rice (Oryza sativa L.) and to analyze the correlation between seed longevity and embryonic RNA integrity. Seeds from 69 cultivars of the world rice core collection selected by the NIAS in Japan were harvested in different years and subjected to long-term storage or controlled deterioration treatment (CDT). The long-term storage (4 °C, RH under 35%, 10 years) was performed on seeds harvested in 2010 and 2013. The seeds harvested in 2016 and 2019 were used for CDT (36 °C, RH of 80%, 40 days). Seed longevity and embryonic RNA integrity were estimated by a decrease in the germination percentage and RNA integrity number (RIN) after long-term storage or CDT. The RIN value was obtained by the electrophoresis of the total RNA extracted from the seed embryos. Seeds of "Vandaran (indica)", "Tupa 729 (japonica)", and "Badari Dhan (indica)" consistently showed higher seed longevity and embryonic RNA integrity both under long-term storage and CDT conditions regardless of the harvest year. A strong correlation (R2 = 0.93) was observed between the germination percentages and RIN values of the seeds after the long-term storage or CDT among nine cultivars selected based on differences in their seed longevity. The study findings revealed the relationship between rice seed longevity and embryo RNA stability and suggested potential breeding materials including both japonica and indica cultivars for improving rice seed longevity.

RNA sampling time on postmortem avian carcasses in the wild

Genetic sampling, especially high‐quality RNA from wild avian populations, is challenging in wildlife biology due to rapid RNA degradation. Although carcasses could be a potential RNA source, the optimal postmortem sampling time on the avian carcasses under field conditions remains unclear. Here, we carried out a field experiment on the Qinghai‐Tibet Plateau (QTP) and evaluated the relationship between PMI and RNA degradation in three tissue types (muscle, brain, and liver) of the domestic chicken Gallus gallus domesticus carcasses. In the muscle and brain tissues, we found that the RNA Integrity Number (RIN) of samples collected within 60 h postmortem was more than 7.0, suggesting a high RNA extract quality. The following RNA‐seq experiment demonstrated that gene expression profiles of the samples collected within 36 h postmortem were comparable to those of fresh samples (i.e. 0 h), with a low percentage of differentially expressed genes (< 3.0%) observed between samples at 0 and 36 h postmortem. However, in the liver tissue, RNA samples already degraded at 12 h postmortem, showing low RIN values (< 7.0), different gene expression profiles from fresh samples, and a high percentage of differentially expressed genes (15.6%). Therefore, our study suggests that samples from muscle and brain tissues collected within 36 h postmortem are qualified for RNA‐seq analyses. In contrast, only the fresh RNA samples from liver tissue are qualified. Our study provides a practicable and efficient sampling strategy for the transcriptome study on avian populations under extreme environment such as the QTP.

Measuring Up: A Comparison of TapeStation 4200 and Bioanalyzer 2100 as Measurement Tools for RNA Quality in Postmortem Human Brain Samples.

The determination of RNA integrity is a critical quality assessment tool for gene expression studies where the experiment's success is highly dependent on the sample quality. Since its introduction in 1999, the gold standard in the scientific community has been the Agilent 2100 Bioanalyzer's RNA integrity number (RIN), which uses a 1-10 value system, from 1 being the most degraded, to 10 being the most intact. In 2015, Agilent launched 4200 TapeStation's RIN equivalent, and reported a strong correlation of r2 of 0.936 and a median error < ±0.4 RIN units. To evaluate this claim, we compared the Agilent 4200 TapeStation's RIN equivalent (RINe) and DV200 to the Agilent 2100 Bioanalyzer's RIN for 183 parallel RNA samples. In our study, using RNA from a total of 183 human postmortem brain samples, we found that the RIN and RINe values only weakly correlate, with an r2 of 0.393 and an average difference of 3.2 RIN units. DV200 also only weakly correlated with RIN (r2 of 0.182) and RINe (r2 of 0.347). Finally, when applying a cut-off value of 6.5 for both metrics, we found that 95.6% of samples passed with RIN, while only 23.5% passed with RINe. Our results suggest that even though RIN (Bioanalyzer) and RINe (TapeStation) use the same 1-10 value system, they should not be used interchangeably, and cut-off values should be calculated independently.

The Effect of Blood Clots on the Quality of RNA Extracted from PAXgene Blood RNA Tubes.

Background: PAXgene® Blood RNA tubes are routinely used in clinical research and molecular biology applications to preserve the stability of RNA in whole blood. However, in practice, blood clots are occasionally observed after blood collection and are often ignored. Currently, there are few studies on whether blood clots affect the quality of RNA extracted from these tubes. Materials and Methods: Fifteen pairs of non-clot and clot PAXgene Blood RNA tube samples (n = 30) were collected to form two matched groups from 15 patients. According to the maximum diameter (d) of the blood clot observed visually at the time of sample reception, the clot groups were divided into a small-clot group (0 cm < d < 0.5 cm) and a large-clot group (d ≥ 0.5 cm). RNA was extracted by the PAXgene Blood RNA Kit. To analyze the quality of RNA, its yield and purity were assessed by spectrophotometry, and integrity was measured by microfluidic electrophoresis. An A260/280 ratio between 1.8 and 2.2 indicated purified RNA, and RNA integrity number (RIN) values ≥7.0 were considered to represent qualified integrity. Results: The median yields of RNA from the non-clot and clot groups were 3.84 (2.80-6.38) μg and 4.87 (2.77-8.30) μg, respectively. The median A260/280 ratios were 2.08 (2.06-2.09) and 2.09 (2.07-2.11), whereas the median A260/230 ratios were 1.77 (1.31-1.91) and 1.67 (1.21-1.94) in the two groups. In addition, the median RINs were 8.20 (8.00-8.40) and 7.20 (6.60-7.70), respectively. There were no significant differences in RNA yields, A260/280, or A260/230 between the two groups. However, the RIN value of the clot group was significantly lower compared with the non-clot group (p < 0.05), with RIN ≥7.0 found in all non-clot samples and 60% of clot samples (p < 0.05). Furthermore, in the clot groups, the small-clot samples had higher RIN values than large-clot samples (8.25 [7.75-8.75] vs. 6.90 [6.60-7.30], p < 0.001). Conclusions: The formation of large blood clots in PAXgene Blood RNA tubes will reduce the integrity of extracted RNA.

A modified method for efficient RNA isolation from mangrove root tissues rich in secondary metabolites.

Secondary metabolites in mangroves often interfere with RNA extraction yielding poor concentration and quality, which is unsuitable for downstream applications. As existing protocols yielded low-quality RNA from root tissues of Kandelia candel (L.) Druce and Rhizophora mucronata Lam., an optimized method was developed for improving the quality and yield of RNA. Compared with three other methods, thisoptimizedprotocol gave better RNA yield and purity for both species. The absorbance ratios were ≥1.9 for A260/280 and A260/230, while RNA integrity number values ranged from 7.5 to 9.6. Results show that ourmodified method is efficient in obtaining high-quality RNA from mangrove rootsand is suitable for downstream experiments such as cDNA synthesis, real-timequantitativePCRand next-generation sequencing.

Improvements and challenges of tissue preparation for spatial transcriptome analysis of skull base tumors

BackgroundSpatial transcriptome (ST) provides molecular profiles of tumor cells at the spatial level, which brings new progress to the research of tumors and the tumor microenvironment. This study summarizes the experiences and lessons learned in the spatial section preparation of two different pathological types of nose and skull base tumors at our institution, with the aim of offering guidelines to researchers to avoid wasting precious samples and provide a basis for the application of ST in clinical practice. MethodsFrozen tissue blocks from patients with squamous cell carcinoma and adenocarcinoma of the nose and skull base diagnosed at our institution were prepared. The effects of different procedures and pathological tissue types on slide quality were explored and evaluated using RNA integrity number (RIN) and HE scores as criteria. The effects of different RIN values on ST sequencing data were explored. ResultsA total of 43 samples were obtained from 26 patients, including 22 with squamous carcinomas and 21 with adenocarcinomas. Thirteen samples with satisfactory RNA quality control and good histological morphology were sequenced for ST. Sample isolation time <15 min and abandonment of snap-frozen isopentane significantly improved RNA quality (p = 0.004, p < 0.0001) and histomorphological integrity (p = 0.02, p = 0.02). Selection of a suitable tissue RNA extraction kit was critical for RNA quality (p < 0.0001). No difference between 6 ≤ RIN <7 and RIN >7 in ST sequencing results was found, indicating that RIN ≥6 can be used as a criterion for qualified RNA quality control. Therefore, fresh tissues washed as soon as possible with cold PBS and then dried using OCT for snap freezing are currently the best method for preparing spatial sections of nose and skull base tumor tissues of different pathological types. ConclusionThis study is the first to investigate the feasibility of applying ST to different pathological types of nose and skull base tumors and to demonstrate the widespread application of ST in tumors. Rational optimization of spatial slide preparation procedures and exploration of individualized pre-sequencing protocols are used as the first stage to ensure the quality of spatial sequencing and lay the foundation for subsequent spatial analysis.

Example for process validation in biobanking: Fit for purpose testing of a cryopreservation method without isopentane.

Background: The freezing process of tissue samples is crucial for the preservation of morphological and molecular features. Several biobanking guidelines describe freezing techniques for optimal outcomes. As the Vetbiobank standard freezing protocol does not comply with those recommendations in detail, a process validation was performed to demonstrate that samples are suitable for downstream applications. Here we give a formal example of a process validation in the biobanking setting, as required by the biobanking guideline ISO 20387 (2018). Methods: Three different freezing protocols, freezing in liquid nitrogen, freezing via isopentane precooled on dry ice and freezing via liquid nitrogen vapor, were assessed based on morphological integrity of mouse liver and muscle tissue samples. Samples were either frozen in cryotubes (without Optimal Cutting Temperature compound, OCT) or in cryomolds (with OCT). The protocol providing the best results was validated for reproducibility and robustness in terms of defined acceptance criteria for morphological evaluability, A260/A280 ratio, and RNA integrity number values (RIN). In addition, performance tests were run by gene expression analyzes of selected, tissue specific biomarkers to confirm that processed samples are fit for purpose. Results: From the three applied freezing protocols, freezing in liquid nitrogen generated best results. Reproducibility acceptance criteria were met for both, morphological integrity and RNA quality. The freezing method was robust for the tested tissue types and the application of OCT, with exception of liver tissue, where it led to a significant decrease of the RIN value. Gene expression analyzes showed good comparability of results regardless of the applied freezing method. Conclusion: Freezing of tissue samples in liquid nitrogen provides samples of adequate quality for subsequent RNA investigations. A negative impact of OCT on the RIN value of liver samples was observed, which was independent from the applied freezing protocol and showed no impact on subsequent gene expression analysis.

RNA Isolation from Environmental Samples of a Harmful Algal Bloom for Metatranscriptome Next-Generation Sequencing

During a harmful algal bloom (HAB), the seawater contains a high abundance of microorganisms and elemental ions. Such components can interfere with RNA isolation, leading to RNA degradation. The complex HAB seawater property makes isolating high-quality RNA for metatranscriptomic sequencing difficult, which is required for effective RNA sequencing and transcriptome profiling. This study used three isolation techniques to find the optimal strategy for isolating total RNA from bloom samples. One of the isolation techniques was the phenol-chloroform extraction method, which uses organic solvents to isolate RNA. The remaining two isolation techniques used the same commercial RNA extraction kit, TransZol Up Plus RNA kit (TransGen Biotech, China). One followed the extraction kit’s protocol, while the other modified the protocol. Total RNA was extracted from three seawater samples of three occasions of HAB in Sepanggar Bay. The most effective approach used to extract high-quality RNA from the environmental samples of the HABs was the TransZol Up Plus RNA kit, with modified protocol. Results of the modified protocol generated a high-purity total RNA, ranging from 2.081 to 2.474 for both the absorbance ratios A260/280 and A260/230. The RNA integrity number value ranged from 6.2 to 7.6. All of the samples resulted in concentrations up to 91 ng/µl. We concluded that the modified protocol of TransZol Up Plus RNA kit yielded the highest quality total RNA for metatranscriptome next-generation sequencing (NGS). Apart from NGS, the high-quality RNA can also be used for various downstream applications, including real-time PCR, RNA cloning, and RNA microarray analysis.

At-home blood collection and stabilization in high temperature climates using homeRNA.

Expanding whole blood sample collection for transcriptome analysis beyond traditional phlebotomy clinics will open new frontiers for remote immune research and telemedicine. Determining the stability of RNA in blood samples exposed to high ambient temperatures (>30°C) is necessary for deploying home-sampling in settings with elevated temperatures (e.g., studying physiological response to natural disasters that occur in warm locations or in the summer). Recently, we have developed homeRNA, a technology that allows for self-blood sampling and RNA stabilization remotely. homeRNA consists of a lancet-based blood collection device, the Tasso-SST™ which collects up to 0.5 ml of blood from the upper arm, and a custom-built stabilization transfer tube containing RNAlater™. In this study, we investigated the robustness of our homeRNA kit in high temperature settings via two small pilot studies in Doha, Qatar (no. participants = 8), and the Western and South Central USA during the summer of 2021, which included a heatwave of unusually high temperatures in some locations (no. participants = 11). Samples collected from participants in Doha were subjected to rapid external temperature fluctuations from being moved to and from air-conditioned areas and extreme heat environments (up to 41°C external temperature during brief temperature spikes). In the USA pilot study, regions varied in outdoor temperature highs (between 25°C and 43.4°C). All samples that returned a RNA integrity number (RIN) value from the Doha, Qatar group had a RIN ≥7.0, a typical integrity threshold for downstream transcriptomics analysis. RIN values for the Western and South Central USA samples (n = 12 samples) ranged from 6.9–8.7 with 9 out of 12 samples reporting RINs ≥7.0. Overall, our pilot data suggest that homeRNA can be used in some regions that experience elevated temperatures, opening up new geographical frontiers in disseminated transcriptome analysis for applications critical to telemedicine, global health, and expanded clinical research. Further studies, including our ongoing work in Qatar, USA, and Thailand, will continue to test the robustness of homeRNA.

Effects of Freezing and Rewarming Methods on RNA Quality of Blood Samples.

Background: RNA extracted from human blood has been widely applied to biological, medical, and clinical research of numerous diseases. Previous studies have demonstrated that high-quality RNA is indispensable to guarantee the reliability of downstream assays. In this study, we investigated the effects of freezing procedures, rewarming methods, and blood components on RNA quality of blood samples. Methods: Rabbit blood samples were divided into two groups: (1) whole blood (WB) and (2) blood cell components (BCC) with plasma removed. Samples were frozen using four representative freezing procedures (snap freezing in liquid nitrogen, snap freezing at -80°C, traditional slow freezing, and programmable controlled rate freezing) and rewarmed by placing at 4°C or by vortexing. RNA was extracted using the phenol-chloroform RNA extraction method and measured by an Agilent bioanalyzer. Then, human blood was used to verify the best protocol obtained from the rabbit blood experiment. Results: For the four freezing procedures, there were no differences in RNA integrity. For different rewarming methods, RNA integrity number (RIN) values of RNA extracted from frozen WB and BCC samples in the vortex group were above 9, while RNA obtained from WB showed worse quality compared with BCC in the 4°C group. For verification using human blood, RIN values of frozen human WB rewarmed by vortexing ranged from 8.0 to 9.1. Conclusions: Blood components and rewarming methods could affect the RNA quality of blood samples. For scenarios where WB samples have already been cryopreserved, the vortex rewarming method is optimal for high-quality RNA. Otherwise, we would recommend centrifuging fresh WB and cryopreserving it in the form of BCC, which showed a tendency to obtain high-quality RNA by either of the two rewarming methods.

Abstract 3371: Impact of RNA degradation on transcriptomic profiling in tumors samples from syngeneic mouse models

Abstract RNA-Seq is currently the most prevailing method for measuring transcriptional activities in cells and tissues. It relies on high-quality RNA in order to yield reliable and reproducible results, which is often challenging due to RNA degradation during sample collection and processing. Agilent’s RNA Integrity Number (RIN) is a commonly adopted standard for evaluating RNA quality in NGS workflows. However, while most RNA-Seq experiments are geared towards the quantification of mRNA, the RIN metric heavily relies on the amount of 18S and 28S ribosomal RNA and does not directly measure the integrity of mRNA. To overcome this limitation, researchers have proposed several post-alignment measures of transcript integrity, such as mRIN (mRNA Integrity Number), TIN (Transcript Integrity Number, from RSeQC package), and DI (Degradation Index, from DegNorm package), but so far there is no consensus as to which works best. It is also unclear to what extent RNA degradation impacts the results of downstream analysis when samples with suboptimal RNA quality are included. To answer these questions in the context of cancer research, we analyzed 198 RNA-Seq samples from 7 syngeneic mouse tumor models of different cancer types (4T1, CT26, EL4, E.G7-OVA, H22, Hepa1-6, and KLN205) with a wide range of RIN values (2.3 to 9.8). Interestingly, we found a high concordance between RIN and medTIN (median TIN score) in 4T1, E.G7-OVA, Hepa1-6, and KLN205 samples, but a surprisingly low concordance in EL4 and H22 samples. A tentative interpretation is that, depending on the tissue/cell type, it is possible for an RNA sample to have heavily degraded ribosomal RNA (hence a low RIN value), while still retaining relatively intact mRNA (resulting in a decent medTIN value). Principal component analysis (PCA) revealed that both RIN and medTIN are strongly correlated with the strongest explanatory variable (PC1) of the transcriptome across all library types, confirming that RNA degradation can heavily bias the results of transcript-level DE (differential expression) analysis. We then evaluated the performance of TIN correction, a method proposed in conjunction with the TIN metric to correct for RNA-degradation bias, and found it to be largely ineffective on our dataset. Apparently, there is a need for better normalization/correction methods when a dataset consists of samples with wildly varying RNA quality. On the other hand, the impact of RNA degradation on gene-level DE analysis is much smaller. In PCA on gene-level data, the first 4 PCs, which altogether explain &amp;gt; 70% of the variation in the transcriptome, showed weak or no correlation with RIN or medTIN, and the samples cluster according to their respective tissue groups as expected. Our study calls for cautious analysis and interpretation of gene expression data from degraded RNA samples, and highlights a need for more suitable RNA quality metrics and bias correction methods. Citation Format: Yanghui Sheng, Wubin Qian, Xiaobo Chen, Henry Q. Li, Sheng Guo. Impact of RNA degradation on transcriptomic profiling in tumors samples from syngeneic mouse models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3371.

Delayed processing of blood samples impairs the accuracy of mRNA-based biomarkers

The transcriptome of peripheral white blood cells (PWBCs) are indicators of an organism’s physiological state, thus making them a prime biological sample for mRNA-based biomarker discovery. Here, we designed an experiment to evaluate the impact of delayed processing of whole blood samples on gene transcript abundance in PWBCs. We hypothesized that storing blood samples for 24 h at 4 °C would cause RNA degradation resulting in altered transcriptome profiles. There were no statistical differences in RNA quality parameters among samples processed after one, three, six, or eight hours post collection. Additionally, no significant differences were noted in RNA quality parameters or gene transcript abundance between samples collected from the jugular and coccygeal veins. However, samples processed after 24 h of storage had a lower RNA integrity number value (P = 0.03) in comparison to those processed after one hour of storage. Using RNA-sequencing, we identified four and 515 genes with differential transcript abundance in samples processed after storage for eight and 24 h, respectively, relative to samples processed after one hour. Sequencing coverage of transcripts was similar between samples from the 24-h and one-hour groups, thus showing no indication of RNA degradation. This alteration in transcriptome profiles can impair the accuracy of mRNA-based biomarkers, therefore, blood samples collected for mRNA-based biomarker discovery should be refrigerated immediately and processed within six hours post-sampling.

Comparing and Optimizing RNA Extraction from the Pancreas of Diabetic and Healthy Rats for Gene Expression Analyses.

Advanced differential gene expression analysis requires high-quality RNA. However, isolating intact pancreatic RNA is challenging due to abundant pancreatic ribonucleases, which limits efficient downstream gene expression analysis. RNAlater treatment reduces endogenous ribonucleases effects through either pre-organ excision via organ mass or bile duct direct injection or organ mass injection post-isolation. We compared RNA extraction protocols to establish a reproducible and effective pancreatic RNA extraction method to obtain high RNA integrity number (RIN) values from healthy and streptozotocin (STZ)-induced diabetic rats for gene expression analyses. Different methods were tested focusing on RNase activity inhibition using RNAlater (Qiagen) pre-harvest of the pancreatic tissue, and extracted RNA quality and concentration were analyzed using NanoDrop spectrophotometer, Agilent Bioanalyzer, and RT-PCR. Inclusion of several pre- and post-excision modifications in the RNeasy Mini Kit (Qiagen) protocol resulted in RIN values more than two-fold higher compared to those using the standard protocol. Additionally, RT-PCR amplification of the housekeeping gene, β-actin, revealed no differences in extracted RNA quality from healthy and STZ-induced diabetic rats. We compared and developed a more effective and reproducible pancreatic RNA extraction method from healthy and diabetic rats, which resulted in RNA of superior quality and integrity and is suitable for complex molecular investigations.

Impact of Washing Processes on RNA Quantity and Quality in Patient-Derived Colorectal Cancer Tissues.

Background: Colorectal cancer (CRC) is a common and lethal cancer worldwide. Extraction of high-quality RNA from CRC samples plays a key role in scientific research and translational medicine. Specimen collection and washing methods that do not compromise RNA quality or quantity are needed to ensure high quality specimens for gene expression analysis and other RNA-based downstream applications. We investigated the effect of tissue specimen collection and different preparation processes on the quality and quantity of RNA extracted from surgical CRC tissues. Materials and Methods: After surgical resection, tissues were harvested and prepared with various washing processes in a room adjacent to the operating room. One hundred fourteen tissues from 36 CRC patients were separately washed in either cold phosphate-buffered saline reagent (n = 34) or Dulbecco's modified Eagle's medium (DMEM; n = 34) for 2-3 minutes until the stool was removed, and unwashed specimens served as controls (n = 34). Six tissue specimens were washed and immersed in DMEM for up to 1 hour at 4°C. Before RNA extraction, all specimens were kept in the stabilizing reagent for 3 months at -80°C. RNA was extracted, and the concentration per milligram of tissue was measured. RNA quality was assessed using the RNA integrity number (RIN) value. Results: Different washing processes did not result in significant differences in RNA quantity or RIN values. In the six tissues that were washed and immersed in DMEM for 1 hour, RIN values significantly decreased. The quality of the extracted RNA from most specimens was excellent with the average RIN greater than 7. Conclusions: RNA is stable in specimens washed in different processes for short periods, but RIN values may decrease with prolonged wash times.

Assessing the quality of RNA isolated from human breast tissue after ambient room temperature exposure.

High quality human tissue is essential for molecular research, but pre-analytical conditions encountered during tissue collection could degrade tissue RNA. We evaluated how prolonged exposure of non-diseased breast tissue to ambient room temperature (22±1°C) impacted RNA quality. Breast tissue received between 70 to 190 minutes after excision was immediately flash frozen (FF) or embedded in Optimal Cutting Temperature (OCT) compound upon receipt (T0). Additional breast tissue pieces were further exposed to increments of 60 (T1 = T0+60 mins), 120 (T2 = T0+120 mins) and 180 (T3 = T0+180 mins) minutes of ambient room temperature before processing into FF and OCT. Total exposure, T3 (T0+180 mins) ranged from 250 minutes to 370 minutes. All samples (FF and OCT) were stored at -80°C before RNA isolation. The RNA quality assessment based on RNA Integrity Number (RIN) showed RINs for both FF and OCT samples were within the generally acceptable range (mean 7.88±0.90 to 8.52±0.66). No significant difference was observed when RIN at T0 was compared to RIN at T1, T2 and T3 (FF samples, p = 0.43, 0.56, 0.44; OCT samples, p = 0.25, 0.82, 1.0), or when RIN was compared between T1, T2 and T3. RNA quality assessed by quantitative real-time PCR (qRT-PCR) analysis of beta-actin (ACTB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), cyclophilin A (CYPA), and porphobilinogen deaminase (PBGD) transcripts showed threshold values (Ct) that indicate abundant and intact target nucleic acid in all samples (mean ranging from 14.1 to 25.3). The study shows that higher RIN values were obtained for non-diseased breast tissue up to 190 minutes after resection and prior to stabilization. Further experimental exposure up to 180 minutes had no significant effect on RIN values. This study strengthens the rationale for assessing RIN and specific gene transcript levels as an objective method for determining how suitable RNA will be for a specific research purpose (“fit-for purpose”).

HomeRNA: A Self-Sampling Kit for the Collection of Peripheral Blood and Stabilization of RNA.

Gene expression analysis (e.g., targeted gene panels and transcriptomics) from whole blood can elucidate mechanisms of the immune function and aid in the discovery of biomarkers. Conventional venipuncture offers only a small snapshot of our broad immune landscape as immune responses may occur outside of the time and location parameters available for conventional venipuncture. A self-operated method that enables flexible sampling of liquid whole blood coupled with immediate stabilization of cellular RNA is instrumental in facilitating capture and preservation of acute or transient immune fluxes. To this end, we developed homeRNA, a kit for self-collection of peripheral blood (∼0.5 mL) and immediate stabilization of cellular RNA, using the Tasso-SST blood collection device with a specially designed stabilizer tube containing RNAlater. To assess the feasibility of homeRNA for self-collection and stabilization of whole blood RNA, we conducted a pilot study (n = 47 participants) in which we sent homeRNA to participants aged 21-69, located across 10 US states (94% successful blood collections, n = 61/65). Among participants who successfully collected blood, 93% reported no or minimal pain/discomfort using the kit (n = 39/42), and 79% reported very easy/somewhat easy stabilization protocol (n = 33/42). Total RNA yield from the stabilized samples ranged between 0.20 and 5.99 μg (mean = 1.51 μg), and all but one RNA integrity number values were above 7.0 (mean = 8.1), indicating limited RNA degradation. The results from this study demonstrate the self-collection and RNA stabilization of whole blood with homeRNA by participants themselves in their own home.

Importance of experimental information (metadata) for archived sequence data: case of specific gene bias due to lag time between sample harvest and RNA protection in RNA sequencing.

Large volumes of high-throughput sequencing data have been submitted to the Sequencing Read Archive (SRA). The lack of experimental metadata associated with the data makes reuse and understanding data quality very difficult. In the case of RNA sequencing (RNA-Seq), which reveals the presence and quantity of RNA in a biological sample at any moment, it is necessary to consider that gene expression responds over a short time interval (several seconds to a few minutes) in many organisms. Therefore, to isolate RNA that accurately reflects the transcriptome at the point of harvest, raw biological samples should be processed by freezing in liquid nitrogen, immersing in RNA stabilization reagent or lysing and homogenizing in RNA lysis buffer containing guanidine thiocyanate as soon as possible. As the number of samples handled simultaneously increases, the time until the RNA is protected can increase. Here, to evaluate the effect of different lag times in RNA protection on RNA-Seq data, we harvested CHO-S cells after 3, 5, 6, and 7 days of cultivation, added RNA lysis buffer in a time course of 15, 30, 45, and 60 min after harvest, and conducted RNA-Seq. These RNA samples showed high RNA integrity number (RIN) values indicating non-degraded RNA, and sequence data from libraries prepared with these RNA samples was of high quality according to FastQC. We observed that, at the same cultivation day, global trends of gene expression were similar across the time course of addition of RNA lysis buffer; however, the expression of some genes was significantly different between the time-course samples of the same cultivation day; most of these differentially expressed genes were related to apoptosis. We conclude that the time lag between sample harvest and RNA protection influences gene expression of specific genes. It is, therefore, necessary to know not only RIN values of RNA and the quality of the sequence data but also how the experiment was performed when acquiring RNA-Seq data from the database.

Correlation between seed longevity and RNA integrity in the embryos of rice seeds.

The mature embryos of rice seeds contain translatable mRNAs required for the initial phase of germination. To clarify the relationship between seed longevity and RNA integrity in embryos, germinability and stability of embryonic RNAs were analyzed using the seeds of japonica rice cultivars subjected to controlled deterioration treatment (CDT) or long periods of storage. Degradation of RNA from embryos of a japonica rice cultivar "Nipponbare" was induced by CDT before the decline of the germination rate and we observed a positive relationship between seed germinability and integrity of embryonic RNAs. Moreover, this relationship was confirmed in the experiments using aged seeds from the "Nipponbare", "Sasanishiki" and "Koshihikari" rice cultivars. In addition, the RNA integrity number (RIN) values, calculated using electrophoresis data and Agilent Bioanalyzer software, had a positive correlation with germinability (R2=0.75). Therefore, the stability of embryonic RNAs required for germination is involved in maintaining seed longevity over time and RIN values can serve as a quantitative indicator to evaluate germinability in rice.

Cockroach-induced IL9, IL13, and IL31 expression and the development of allergic asthma in urban children

Cockroach-induced IL9, IL13, and IL31 expression and the development of allergic asthma in urban children