RNA Integrity Number Research Articles

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.

De novo transcriptome sequencing and functional annotation of Demodex canis.

Demodex canis is an important parasitic mite causing skin lesions in dogs. However, molecular studies on this species are limited because of the lack of transcriptomic data. To obtain functional genes of D. canis, mites were collected and RNA was extracted for transcriptome sequencing and functional annotation. Coding sequences (CDSs) of important functional genes were screened and identified using bioinformatics strategies. Six complete CDSs were amplified by specific primers, cloned and sequenced. Results demonstrated that the quantity of the RNA extracted from 100 mites was 12.8ng and the RNA integrity number was 5.4, indicating that it could be used to construct a cDNA library. Transcriptome sequencing yielded 263,619 unigenes, of which 151,048 (57.3%) were functionally annotated. Using bioinformatics strategies, 58 total CDSs were identified as homologous to those of closely related mite species, including 16 types of allergen genes, 13 types of protease genes, and nine types of motion-related genes. The verified CDSs were almost identical to the CDSs of unigenes. Phylogenetic analyses of tropomyosin further revealed that the verified CDSs clustered successively with those of Demodex species and Tetranychus species in Raphignathae, which agreed with the morphological classification, demonstrating the reliability of the transcriptomic data. In conclusion, this study is the first to successfully sequence transcriptome of D. canis, perform functional annotation, and verify CDSs, which will provide ample data for further studies on the functional genes and molecular pathogenic mechanism of D. canis.

Impact of RNA degradation on next-generation sequencing transcriptome data

RNA sequencing is an innovative technology to study transcriptomes in both biological and clinical research. However, clinical specimens from patients undergoing surgical operations have a major challenge due to sample degradation. This study replicated the process of RNA degradation by maintaining cells at room temperature to achieve none, slight, middle, and high levels of RNA degradation with decreasing RNA integrity numbers (RIN) of approximately 9.8, 6.7, 4.4, and 2.5, respectively. Next, the differential expression of mRNA and long non-coding RNA (lncRNA) was analyzed in the four degradation groups along with pathway enrichment analysis. The results showed that the similarity of lncRNAs exhibited significant differences even for a slight level of RNA degradation compared with the non-degraded RNA sample. Also, the RNA degradation process was found to be universal, global, and random; the differentially expressed genes increased with an increase in degradation but the pathway enrichment phenomenon was not significantly observed.

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.

Sampling Adipose and Muscle Tissue following Post-Harvest Scalding Does Not Affect RNA Integrity or Real-Time PCR Results in Market Weight Yorkshire Pigs.

Improving production efficiency while enhancing pork quality is pivotal for strengthening sustainable pork production. Being able to study both gene expression and indices of pork quality from the same anatomical location of an individual animal would better enable research conducted to study relationships between animal growth and carcass merit. To facilitate gene expression studies, adipose and muscle tissue samples are often collected immediately following exsanguination to maximize RNA integrity, which is a primary determinant of the sensitivity of RNA-based assays, such as real-time PCR. However, collecting soft tissue samples requires cutting through the hide or skin. This leaves the underlying tissue exposed during scalding, poses possible food safety issues, and potentially confounds pork quality measures. To overcome these limitations, the effect of tissue sample timing post-harvest on RNA integrity, real-time PCR results, and pork quality measurements was investigated by sampling subcutaneous adipose tissue and longissimus thoracis et lumborum muscle immediately following either exsanguination, scalding, or chilling. Sampling time did not affect RNA quality, as determined by the RNA integrity number of RNA samples purified from either adipose (RIN; p > 0.54) or muscle tissue (p > 0.43). Likewise, the sampling time did not influence the results of real-time PCR analysis of gene expression when comparing RNA samples prepared from adipose or muscle tissue immediately following either exsanguination or scalding (p > 0.92). However, sampling tissue prior to scalding resulted in a greater visual color score (p < 0.001) and lesser L* (p < 0.001) and b* (p < 0.001) values without impacting the 24 h pH (p < 0.41). These results suggested that if both RNA-based assays and meat quality endpoints are to be performed at the same anatomical location on an animal, tissue sampling to facilitate RNA-based assays should occur at a time point immediately following scalding. These findings demonstrated that sampling of adipose and muscle tissue can be delayed until after scalding/dehairing without decreasing the RNA integrity or altering the results of real-time PCR assays, while doing so was associated with little impact on measures of pork quality.

Using total RNA quality metrics for time since deposition estimates in degrading bloodstains.

The physicochemical changes occurring in biomolecules in degrading bloodstains can be used to approximate the time since deposition (TSD) of bloodstains. This would provide forensic scientists with critical information regarding the timeline of the events involving bloodshed. Our study aims to quantify the timewise degradation trends and temperature dependence found in total RNA from bloodstains without the use of amplification, expanding the scope of the RNA TSD research which has traditionally targeted mRNA and miRNA. Bovine blood with ACD-A anticoagulant was deposited and stored in plastic microcentrifuge tubes at 21 or 4°C and tested over different timepoints spanning 1 week. Total RNA was extracted from each sample and analyzed using automated high sensitivity gel electrophoresis. Nine RNA metrics were visually assessed and quantified using linear and mixed models. The RNA Integrity Number equivalent (RINe) and DV200 were not influenced by the addition of anticoagulant and demonstrated strong negative trends over time. The RINe model fit was high (R2 =0.60), and while including the biological replicate as a random effect increased the fit for all RNA metrics, no significant differences were found between biological replicates stored at the same temperature for the RINe and DV200. This suggests that these standardized metrics can be directly compared between scenarios and individuals, with DV200 having an inflection point at approximately 28 h. This study provides a novel approach for blood TSD research, revealing metrics that are not affected by inter-individual variation, and improving our understanding of the rapid RNA degradation occurring in bloodstains.

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.

Single-cell transcriptomics provides insights into hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) is a genetic heart disease that is characterized by unexplained segmental hypertrophy that is usually most pronounced in the septum. While sarcomeric gene mutations are often the genetic basis for HCM, the mechanistic origin for the heterogeneous remodeling remains largely unknown. A better understanding of the gene networks driving the cardiomyocyte (CM) hypertrophy is required to improve therapeutic strategies. Patients suffering from HCM often receive a septal myectomy surgery to relieve outflow tract obstruction due to hypertrophy. Using single-cell RNA sequencing (scRNA-seq) on septal myectomy samples from patients with HCM, we identify functional links between genes, transcription factors, and cell size relevant for HCM. The data show the utility of using scRNA-seq on the human hypertrophic heart, highlight CM heterogeneity, and provide a wealth of insights into molecular events involved in HCM that can eventually contribute to the development of enhanced therapies.

Optimal Preservations of Cytological Materials Using Liquid-Based Cytology Fixatives for Next-Generation Sequencing Analysis

Introduction: Molecular targeted therapies have been established for various diseases, including cancers, and there is an increasing need for molecular testing on cytology specimens. The aim of this study was to determine the optimal preservation methods of liquid-based cytology (LBC) materials for molecular testing. Methods: Cytological samples from 35 surgical resected non-small cell lung carcinoma specimens were obtained between June 2016 and June 2021. The samples were fixed in CytoRich™ red Preservative and stored at 4°C. One week later, three tubes were prepared from each specimen sample and divided into the following groups: the SurePath™ group (continued storage at 4°C), Frozen (Fr) group (stored at −80°C after centrifugation), and LBC-Cell Block (LBC-CB) group (generation of paraffin-embedded CB and storage at 4°C). Samples from 5 patients were used for the time course analysis, and we performed evaluations on these samples at 1, 3, 6, 12, 24, and 36 months. The concentrations and purities of extracted DNA and RNA were measured. The double-stranded DNA (dsDNA) and RNA concentrations were also measured by a fluorometer. The DNA and RNA integrities were quantified by the DNA and RNA integrity number. Results: Evaluation of samples was performed at baseline and the six timepoints. In the LBC-CB group, DNA and dsDNA concentrations were higher rather than those in the other groups. The RNA concentration of the LBC-CB group was relatively high compared with those of the other groups at the 36-month timepoint. The Fr group maintained higher DNA quality compared with the other groups over 3 years. The LBC-CB group maintained a higher RNA quality than the other groups until 24 months. Conclusion: LBC-CB preparation is an effective method to maintain DNA/RNA quality and quantity in long-duration preservation for eventual molecular testing. Therefore, LBC-CB may have applications on preanalytical stage for molecular genomic testing such as next-generation sequencing.

Banking of Tumor Tissues: Effect of Preanalytical Variables in the Phase of Pre- and Postacquisition on RNA Integrity.

Background: RNA integrity of tumor tissues from 12 common organs was measured, and tumor tissues from liver were found to have the best RNA integrity in our previous study. The effects of preanalytical variables in the phase of pre- and postacquisition on RNA integrity were further assessed in hepatocellular carcinoma (HCC) tissues in this study. Methods: RNA integrity number (RIN) was measured in tissues from 146 HCC patients. First, 42 fresh HCC tumor tissues were newly collected to assess the effect of various preanalytical variables in the phase of preacquisition on RNA integrity. Second, eight paired HCC tumor and normal tissues were newly collected and used in the gradient course study of ex vivo ischemia time and freeze-thaw cycles on RNA integrity. Finally, 96 stock-frozen tumor tissues with various years of frozen storage were used to assess the effect of cryopreservation time. Results: RNA integrity was found to be independent of patient age, sex, clinical stage, tumor location, HBV infection status, tumor diameter, and surgical approach, but affected by tumor grade. Tumor tissues with a greater tumor grade had lower RIN. With the prolongation of ex vivo ischemia time, freeze-thaw cycles, and cryopreservation time, the RIN of HCC tissues showed decreasing trends. Significant decreases in RIN of the tumor and normal tissues were observed at 6 and 2 hours of ex vivo ischemia time, respectively, and significantly decreased RIN of tumor tissues was observed after six freeze-thaw cycles and 6 years of cryopreservation. Conclusions: Preanalytical variables in the phase of preacquisition such as tumor grade, and in the postacquisition phase such as ex vivo ischemia time, freeze-thaw times, and freeze-storage time both have effects on RNA integrity of HCC tissues. Tissue-based translational research should pay attention to preanalytical variables when collecting and utilizing tumor tissues.

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.

Abstract TMP9: Novel Single-cell Isolation From Cerebral Cavernous Angioma Specimens For Transcriptomic Studies

Introduction: Cavernous angiomas (CAs) are common neurovascular lesions predisposing patients to seizures and hemorrhagic stroke. Recent evidence shows non-endothelial cell autonomous effects contribute to CA pathogenesis within the dysfunctional neurovascular units (NVUs), consisting of endothelial cells, pericytes, astrocytes, and microglia. Herein, we developed a single-cell isolation protocol to study the transcriptome of each of these cell populations. Method: CAs and control brain tissue were frozen in optimal cutting temperature compound immediately after surgical resection. Tissue was enzymatically digested with Collagenase Type IV and DNase I. The cell suspension was then filtered, washed, and pelleted. Cell debris and myelin were removed using 25% Percoll. A multispectral LED light was used for 30 minutes to reduce background autofluorescence. Cells were stained with a CD31, CD45, CD13, P2RY12, CD49f, GLAST, CD24 and CD90 antibody cocktail. Size, granularity, and antibody-specific gating were set to sort each cell population using the BD FACSymphony S6 Cell Sorter. After isolation, RNA was extracted for each cell population, and the quality was assessed. Cell-specific genes including VWF (endothelial cells), ACTA2 (pericytes ), AQP4 (astrocytes ) and IBA-1 (microglia ), as well as GAPDH were assessed with real-time qPCR (rt-qPCR) for validation. Results: Endothelial cells (CD31 + , CD13 - , CD45 - , CD49f - , GLAST - ), pericytes (CD13 + , CD31 - , CD45 - , CD49f - , GLAST - ), astrocytes (CD49f + , GLAST + ) and microglia (P2RY12 + , CD45 + , CD31 - , CD13 - , CD49f - , GLAST - ) were individually isolated from both 5 CA lesions and 5 control brain tissue using FACS sorting. RNA quantity ranged from 31 to 83 pg/μl, with RNA Integrity Number ranging from 1 to 8.7. Each cell population within the CA lesion was validated by showing differential expression of cell-specific genes. Conclusion: We have shown, for the first-time, feasibility of individual cell type isolation from frozen, surgically excised CA lesions. The RNA quantity and quality of each cell population was suitable for the establishment of cell-specific transcriptome libraries. These will help clarify individual cell type contributions to CA pathogenesis.

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”).

Clinical challenges of tissue preparation for spatial transcriptome.

Spatial transcriptomics is considered as an important part of spatiotemporal molecular images to bridge molecular information with clinical images. Of those potentials and opportunities, the excellent quality of human sample preparation and handling will ensure the precise and reliable information generated from clinical spatial transcriptome. The present study aims at defining potential factors that might influence the quality of spatial transcriptomics in lung cancer, para‐cancer, or normal tissues, pathological images of sections and the RNA integrity before spatial transcriptome sequencing. We categorised potential influencing factors from clinical aspects, including patient selection, pathological definition, surgical types, sample harvest, temporary preservation conditions and solutions, frozen approaches, transport and storage conditions and duration. We emphasis on the relationship between the combination of histological scores with RNA integrity number (RIN) and the unique molecular identifier (UMI), which is determines the quality of of spatial transcriptomics; however, we did not find significantly relevance between them. Our results showed that isolated times and dry conditions of sample are critical for the UMI and the quality of spatial transcriptomic samples. Thus, clinical procedures of sample preparation should be furthermore optimised and standardised as new standards of operation performance for clinical spatial transcriptome. Our data suggested that the temporary preservation time and condition of samples at operation room should be within 30 min and in ‘dry’ status. The direct cryo‐preservation within OCT media for human lung sample is recommended. Thus, we believe that clinical spatial transcriptome will be a decisive approach and bridge in the development of spatiotemporal molecular images and provide new insights for understanding molecular mechanisms of diseases at multi‐orientations.

RNA Quality in Post-mortem Human Brain Tissue Is Affected by Alzheimer's Disease.

Gene expression studies of human post-mortem brain tissue are useful for understanding the pathogenesis of neurodegenerative disease. These studies rely on the assumption that RNA quality is consistent between disease and neurologically normal cases; however, previous studies have suggested that RNA quality may be affected by neurodegenerative disease. Here, we compared RNA quality in human post-mortem brain tissue between neurologically normal cases (n = 14) and neurodegenerative disease cases (Alzheimer’s disease n = 10; Parkinson’s disease n = 11; and Huntington’s disease n = 9) in regions affected by pathology and regions that are relatively devoid of pathology. We identified a statistically significant decrease in RNA integrity number (RIN) in Alzheimer’s disease tissue relative to neurologically normal tissue (mixed effects model, p = 0.04). There were no statistically significant differences between neurologically normal cases and Parkinson’s disease or Huntington’s disease cases. Next, we investigated whether total RNA quality affected mRNA quantification, by correlating RIN with qPCR threshold cycle (CT). CT values for all six genes investigated were strongly correlated with RIN (p < 0.05, Pearson correlation); this effect was only partially mitigated by normalization to RPL30. Our results indicate that RNA quality is decreased in Alzheimer’s disease tissue. We recommend that RIN should be considered when this tissue is used in gene expression analyses.

Isolation of RNA from Acute Ischemic Stroke Clots Retrieved by Mechanical Thrombectomy.

Mechanical thrombectomy (MT) for large vessel acute ischemic stroke (AIS) has enabled biologic analyses of resected clots. While clot histology has been well-studied, little is known about gene expression within the tissue, which could shed light on stroke pathophysiology. In this methodological study, we develop a pipeline for obtaining useful RNA from AIS clots. A total of 73 clot samples retrieved by MT were collected and stored in RNALater and in 10% phosphate-buffered formalin. RNA was extracted from all samples using a modified Chemagen magnetic bead extraction protocol on the PerkinElmer Chemagic 360. RNA was interrogated by UV–Vis absorption and electrophoretic quality control analysis. All samples with sufficient volume underwent traditional qPCR analysis and samples with sufficient RNA quality were subjected to next-generation RNA sequencing on the Illumina NovaSeq platform. Whole blood RNA samples from three patients were used as controls, and H&E-stained histological sections of the clots were used to assess clot cellular makeup. Isolated mRNA was eluted into a volume of 140 µL and had a concentration ranging from 0.01 ng/µL to 46 ng/µL. Most mRNA samples were partially degraded, with RNA integrity numbers ranging from 0 to 9.5. The majority of samples (71/73) underwent qPCR analysis, which showed linear relationships between the expression of three housekeeping genes (GAPDH, GPI, and HPRT1) across all samples. Of these, 48 samples were used for RNA sequencing, which had moderate quality based on MultiQC evaluation (on average, ~35 M reads were sequenced). Analysis of clot histology showed that more acellular samples yielded RNA of lower quantity and quality. We obtained useful mRNA from AIS clot samples stored in RNALater. qPCR analysis could be performed in almost all cases, while sequencing data could only be performed in approximately two-thirds of the samples. Acellular clots tended to have lower RNA quantity and quality.

The Department of Veterans Affairs Gulf War Veterans' Illnesses Biorepository: Supporting Research on Gulf War Veterans' Illnesses.

Aims: To introduce a resource supporting research on Gulf War illness (GWI) and related disorders, the Gulf War Veterans’ Illnesses Biorepository (GWVIB). Methods: Gulf War era veterans (GWVs) are recruited nationally and enrolled via telephone and email/postal mail. Enrolled veterans receive annual telephone and mail follow-up to collect health data until their passing. A postmortem neuropathological examination is performed, and fixed and frozen brain and spinal cord samples are banked to support research. Investigators studying GWI and related disorders may request tissue and data from the GWVIB. Results: As of September 2021, 127 GWVs from 39 states were enrolled; 60 met the criteria for GWI, and 14 met the criteria for chronic multisymptom illness (CMI). Enrollees have been followed up to six years. Postmortem tissue recoveries were performed on 14 GWVs. The most commonly found neuropathologies included amyotrophic lateral sclerosis, chronic traumatic encephalopathy, and Lewy body disease. Tissue was of good quality with an average RNA integrity number of 5.8 (SD = 1.0) and ≥4.8 in all of the cases. Discussion: The availability of health data and high-quality CNS tissue from this well-characterized GWV cohort will support research on GWI and related disorders affecting GWVs. Enrollment is ongoing.

PSXII-4 Impact of delayed processing time on total RNA quality and quantitation of transcript abundance

Abstract Critical biological information related to economically important traits is present in the blood transcriptome in cattle. Following a sample collection, however, RNA molecules containing this valuable information are prone to degradation affecting transcript abundance. Thus, proper sample handling and storage is essential when working with RNA. Here, we hypothesized that delayed time between sample collection and processing would lead to RNA degradation and alter gene transcript quantification. We aimed to determine the effect of delayed processing of whole blood on transcriptomic profiles in peripheral white blood cells (PWBC). We collected blood samples (10ml) in tubes containing anticoagulant (K2EDTA) from estrus synchronized beef heifers (n = 5). The tubes remained chilled on ice until processing time. From each heifer, we collected five samples from the jugular vein. We processed one sample from each animal within one hour of collection, and we delayed the processing time of the remaining samples to three, six, eight, and 24 hours post collection. We extracted total RNA from PWBCs, measured yield and assessed quality. We also quantified transcript abundance of 12,724 genes by RNA-sequencing. Samples processed 24 hours post collection had lower RNA integrity number (RIN) compared to samples processed withing one hour of collection (RIN24h=8.00±0.37, RIN1h=8.52±0.37, P = 0.03). There were four and 504 genes with differential transcript abundance (FDR&amp;lt; 0.05) when comparing eight and 24 hours of delayed processing with samples processed within one hour of collection, respectively. Notably, several genes had &amp;gt;1.4-fold greater transcript abundance when samples were stored on ice for eight or 24 hours. Our results indicate that RNA degradation and cellular activity of PWBCs have critical impact on transcript abundance when blood samples are stored for 24 hours under refrigeration. As the development of RNA-based biomarkers gain importance in cattle production systems, timely handling of samples is critical for accurate results.