151 COMPARATIVE ANALYSIS OF FRESH AND CRYOPRESERVED BOAR SPERMATOZOA USING RNA SEQUENCING

2016 ◽  
Vol 28 (2) ◽  
pp. 205
Author(s):  
J. Feugang ◽  
S. Liao ◽  
W. Sanders ◽  
J. Lu ◽  
M. Crenshaw ◽  
...  

Fertility of cryopreserved spermatozoa is significantly reduced compared with that of their fresh counterparts, which is certainly due to the inflicted sublethal damage to spermatozoa that is observed at various molecular and cellular levels. The identification and characterisation of this damage will help us better understand sperm cryobiology and therefore develop suitable media and procedures to improve sperm cryopreservation and fertility outcomes, especially in swine. Here, we present our preliminary assessment of RNA pools of fresh and frozen‐thawed spermatozoa using RNA-sequencing technology. Semen ejaculates of 8 fertile boars were harvested and divided into 2 fractions for each ejaculate. Fraction 1 was freshly extended in commercial diluent (FD) and fraction 2 was frozen in 5-mL plastic straws (FT). Both specimens were shipped to our laboratory for analyses. The samples were purified through Percoll gradient centrifugation and resulting motile spermatozoa were washed in cold PBS. Pelleted spermatozoa were used for total RNA extraction, followed by an in-column DNase digestion. Purity and integrity of RNA samples were checked and rRNA depleted. After random priming, 40 million short cDNA reads were produced using Illumina RNA-Seq technology (Illumina Inc., San Diego, CA, USA). All reads were aligned to the pig reference genome and the produced genome-scale transcription maps consisted of both the transcript structure and the expression level of each gene mapped. Analysis of FD sperm RNA revealed a total of 18 357 sequence tags that were successfully mapped to all pig chromosomes and the mitochondrial genome. Frozen‐thawed spermatozoa showed only 16 864 sequence tags. In both FD and FT samples, chromosomes 1, 2, 6, 7, and 13 contained, in total, the highest density of mapped transcripts (>42%). Chromosome Y and mitochondrial RNAs had the lowest sequence tags mapped (<0.08%). A comparative analysis of FD and FT datasets revealed a net decrease in the total number of sequence tags (1493) with each chromosome being affected, except mitochondria. Chromosomes of FT samples showed a strong (>10%; 17, 7, 4, Y, and X) to moderate (10 to 5%) or weak (≤5%) reduction in RNA numbers. Structural annotation revealed a diverse population of sperm transcripts comprising both coding (mRNA) and noncoding (rRNA, snRNA, and mtRNA) RNAs. In both FD and FT samples, noncoding RNAs were among the most abundant sequence tags. Approximately 12 355 of sequence tags in FD v. 10 948 in FT spermatozoa were annotated with ENSEMBL and the selected genes are under investigation for comparative analyses using RT-PCR. In conclusion, mature boar spermatozoa contain a large pool of coding and non-coding RNAs that can be affected by the freezing-thawing procedure. Inflicted damage affects RNAs of all chromosomes with a great effect being seen on chromosome X. Generated datasets have the potential to lead to further study of the cryo-damage associated with reduced fertility of cryopreserved spermatozoa. Study was supported by USDA-ARS Biophotonics initiative grant # 58-6402-3-0120 and MAFES-SRI grants.

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Michal Marczyk ◽  
Chunxiao Fu ◽  
Rosanna Lau ◽  
Lili Du ◽  
Alexander J. Trevarton ◽  
...  

Abstract Background Utilization of RNA sequencing methods to measure gene expression from archival formalin-fixed paraffin-embedded (FFPE) tumor samples in translational research and clinical trials requires reliable interpretation of the impact of pre-analytical variables on the data obtained, particularly the methods used to preserve samples and to purify RNA. Methods Matched tissue samples from 12 breast cancers were fresh frozen (FF) and preserved in RNAlater or fixed in formalin and processed as FFPE tissue. Total RNA was extracted and purified from FF samples using the Qiagen RNeasy kit, and in duplicate from FFPE tissue sections using three different kits (Norgen, Qiagen and Roche). All RNA samples underwent whole transcriptome RNA sequencing (wtRNAseq) and targeted RNA sequencing for 31 transcripts included in a signature of sensitivity to endocrine therapy. We assessed the effect of RNA extraction kit on the reliability of gene expression levels using linear mixed-effects model analysis, concordance correlation coefficient (CCC) and differential analysis. All protein-coding genes in the wtRNAseq and three gene expression signatures for breast cancer were assessed for concordance. Results Despite variable quality of the RNA extracted from FFPE samples by different kits, all had similar concordance of overall gene expression from wtRNAseq between matched FF and FFPE samples (median CCC 0.63–0.66) and between technical replicates (median expression difference 0.13–0.22). More than half of genes were differentially expressed between FF and FFPE, but with low fold change (median |LFC| 0.31–0.34). Two out of three breast cancer signatures studied were highly robust in all samples using any kit, whereas the third signature was similarly discordant irrespective of the kit used. The targeted RNAseq assay was concordant between FFPE and FF samples using any of the kits (CCC 0.91–0.96). Conclusions The selection of kit to purify RNA from FFPE did not influence the overall quality of results from wtRNAseq, thus variable reproducibility of gene signatures probably relates to the reliability of individual gene selected and possibly to the algorithm. Targeted RNAseq showed promising performance for clinical deployment of quantitative assays in breast cancer from FFPE samples, although numerical scores were not identical to those from wtRNAseq and would require calibration.


2010 ◽  
Vol 7 (9) ◽  
pp. 709-715 ◽  
Author(s):  
Joshua Z Levin ◽  
Moran Yassour ◽  
Xian Adiconis ◽  
Chad Nusbaum ◽  
Dawn Anne Thompson ◽  
...  

2012 ◽  
Author(s):  
Christine J. Sumner ◽  
Daniela Munafo ◽  
Larry McReynolds ◽  
Brad Langhorst ◽  
Ping Liu ◽  
...  

Gene ◽  
2017 ◽  
Vol 626 ◽  
pp. 132-139 ◽  
Author(s):  
Wanwipa Vongsangnak ◽  
Nachon Raethong ◽  
Warasinee Mujchariyakul ◽  
Nam Ninh Nguyen ◽  
Hon Wai Leong ◽  
...  

2019 ◽  
Author(s):  
Rachael E. Workman ◽  
Alison D. Tang ◽  
Paul S. Tang ◽  
Miten Jain ◽  
John R. Tyson ◽  
...  

Abstract High throughput cDNA sequencing technologies have dramatically advanced our understanding of transcriptome complexity and regulation. However, these methods lose information contained in biological RNA because the copied reads are often short and because modifications are not carried forward in cDNA. We address these limitations using a native poly(A) RNA sequencing strategy developed by Oxford Nanopore Technologies (ONT). Our study focused on poly(A) RNA from the human cell line GM12878, generating 9.9 million aligned sequence reads. These native RNA reads had an aligned N50 length of 1294 bases, and a maximum aligned length of over 21,000 bases. A total of 78,199 high-confidence isoforms were identified by combining long nanopore reads with short higher accuracy Illumina reads. We describe methods for extracting intact RNA, poly-A selection, cDNA conversion for a portion of sample, and library preparation for both direct RNA and cDNA libraries.


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