High throughput RNA sequencing utility for diagnosis and prognosis in colon diseases

RNA sequencing is the use of hight hroughput next generation sequencing technology to survey, characterize, and quantify the transcriptome of a genome. RNA sequencing has been used to analyze the pathogenesis of several malignancies such melanoma, lung cancer, and colorectal cancer. RNA sequencing can identify differential expression of genes(DEG's), mutated genes, fusion genes, and gene isoforms in disease states. RNA sequencing has been used in the investigation of several colorectal diseases such as colorectal cancer, inflammatory bowel disease(ulcerative colitis and Crohn's disease), and irritable bowel syndrome.

High Throughput Sequencing of circRNAs in Tomato Leaves Responding to Multiple Stresses of Drought and Heat

Our aim is to study the roles of a new emerging group of non-coding RNAs, circRNAs, in tomato(Solanum lycopersicum L.) plants grown at the combination of drought and heat, two of the most usual stress conditions known to frequently happen in field. Tomato seedlings from cultivar‘Jinling Meiyu’ were treated without stresses(control), at water shortage, high temperature and subjected the multiple stresses. In total, 467 circRNAs were identified with 87.82% from exon using high throughput sequencing technology. Among the circRNAs, 70 were from chr1 with the range from 23 to 49 from the other chromosomes. In detail, 156 circRNAs were shared in the four libraries, while 21, 17 and 36 circRNAs were only shown in drought, heat and multiple stresses libraries, respectively. Through a differential expression analysis, four, seven and nine circRNAs were differentially regulated in tomato at drought, heat and multiple stresses as compared with control. These circRNAs played roles on photosynthesis, starch and sucrose metabolism, RNA transport, RNA degradation, spliceosome, ribosome, etc. Our study underlined the potential role of circRNAs involved in the abiotic stress response in tomato, which might pave the way for studying biological roles of circRNAs responding to multiple stresses in plants.

Microbial Diversity in Rhizosphere Soil of Cotinus coggygria Based on High Throughput Sequencing

In order to reveal the influence of different plant configurations on the microbial community structure and diversity in rhizosphere soil of Cotinus coggygria in Fragrant Hills park,the ITS+5.8S rDNA gene and 16S rDNA gene V3-V4 region sequencing analysis for fungi and bacteria,respectively,were conducted by high throughput sequencing(Illumina MiSeq).The results showed that the fungal diversity in the rhizosphere soil samples of C.coggygria in Fragrant Hills park in 2018 was significantly higher than that in 2016,and it was higher in the rhizosphere soil of healthy C.coggygria in Xunlupo than that in diseased ones in 2018.Verticillium dahliae,which is the causal agent of C.coggygria wilt,was detected in five soil samples.In 2018,the bacterial diversity in the rhizosphere soil of diseased C.coggygria in Xunlupo was the lowest,while it was the highest in the rhizosphere soil of healthy C.coggygria under Platycladus orientalis in Langfengting.

High-throughput Sequencing Technology and Its Application

Gene sequencing is a great way to interpret life, and high-throughput sequencing technology is a revolutionary technological innovation in gene sequencing researches. This technology is characterized by low cost and high-throughput data. Currently, high-throughput sequencing technology has been widely applied in multi-level researches on genomics, transcriptomics and epigenomics. And it has fundamentally changed the way we approach problems in basic and translational researches and created many new possibilities. This paper presented a general description of high-throughput sequencing technology and a comprehensive review of its application with plain, concisely and precisely. In order to help researchers finish their work faster and better, promote science amateurs and understand it easier and better.

Comparison of rumen archaeal diversity in adult and elderly yaks(Bos grunniens)using 16S rRNA gene high-throughput sequencing

This study was conducted to investigate the phylogenetic diversity of archaea in the rumen of adult and elderly yaks. Six domesticated female yaks, 3 adult yaks （（5.3±0.6） years old）, and 3 elderly yaks （（10.7±0.6） years old）, were used for the rumen contents collection. Illumina MiSeq high-throughput sequencing technology was applied to examine the archaeal composition of rumen contents. A total of 92 901 high-quality archaeal sequences were analyzed, and these were assigned to 2 033 operational taxonomic units （OTUs）. Among these, 974 OTUs were unique to adult yaks while 846 OTUs were unique to elderly yaks; 213 OTUs were shared by both groups. At the phylum level, more than 99% of the obtained OTUs belonged to the Euryarchaeota phylum. At the genus level, the archaea could be divided into 7 archaeal genera. The 7 genera （i.e., Methanobrevibacter, Methanobacterium, Methanosphaera, Thermogymnomonas, Methanomicrobiu, Meth- animicrococcus and the unclassified genus） were shared by all yaks, and their total abundance accounted for 99% of the rumen archaea. The most abundant archaea in elderly and adult yaks were Methanobrevibacterand Thermogymnomonas, respectively. The abundance of Methanobacteria （class）, Methanobacteriales （order）, Methanobacteriaceae （family）, and Methanobrevibacter （genus） in elderly yaks was significantly higher than in adult yaks. In contrast, the abundance of Ther-mogymnomonas in elderly yaks was 34% lower than in adult yaks, though the difference was not statistically significant. The difference in abundance of other archaea was not significant between the two groups. These results suggested that the structure of archaea in the rumen of yaks changed with age. This is the first study to compare the phytogenetic differences of rumen archaeal structure and composition using the yak model.

Genome-wide identification of RNA editing in seven porcine tissues by matched DNA and RNA high-throughput sequencing

Background: RNA editing is a co/posttranscriptional modification mechanism that increases the diversity of transcripts, with potential functional consequences. The advent of next-generation sequencing technologies has enabled the identification of RNA edits at unprecedented throughput and resolution. However, our knowledge of RNA editing in swine is still limited.Results: Here, we utilized RES-Scanner to identify RNA editing sites in the brain, subcutaneous fat, heart, liver,muscle, lung and ovary in three 180-day-old Large White gilts based on matched strand-specific RNA sequencing and whole-genome resequencing datasets. In total, we identified 74863 editing sites, and 92.1% of these sites caused adenosine-to-guanosine(A-to-G) conversion. Most A-to-G sites were located in noncoding regions and generally had low editing levels. In total, 151 A-to-G sites were detected in coding regions(CDS), including 94 sites that could lead to nonsynonymous amino acid changes. We provide further evidence supporting a previous observation that pig transcriptomes are highly editable at PRE-1 elements. The number of A-to-G editing sites ranged from 4155(muscle) to 25001(brain) across the seven tissues. The expression levels of the ADAR enzymes could explain some but not all of this variation across tissues. The functional analysis of the genes with tissuespecific editing sites in each tissue revealed that RNA editing might play important roles in tissue function.Specifically, more pathways showed significant enrichment in the fat and liver than in other tissues, while no pathway was enriched in the muscle.Conclusions: This study identified a total of 74863 nonredundant RNA editing sites in seven tissues and revealed the potential importance of RNA editing in tissue function. Our findings largely extend the porcine editome and enhance our understanding of RNA editing in swine.

Microbial diversity in Huguangyan Maar Lake of China revealed by high-throughput sequencing

Huguangyan Maar Lake is a typical maar lake in the southeast of China. It is well preserved and not disturbed by anthropogenic activities. In this study, microbial community structures in sediment and water samples from Huguangyan Maar Lake were investigated using a high-throughput sequencing method. We found significant differences between the microbial community compositions of the water and the sediment. The sediment samples contained more diverse Bacteria and Archaea than did the water samples. Actinobacteria, Betaproteobacteria, Cyanobacteria, and Deltaproteobacteria predominated in the water samples while Deltaproteobacteria, Anaerolineae, Nitrospira, and Dehalococcoidia were the major bacterial groups in the sediment. As for Archaea, Woesearchaeota (DHVEG-6), unclassified Archaea, and Deep Sea Euryarchaeotic Group were detected at higher abundances in the water, whereas the Miscellaneous Crenarchaeotic Group, Thermoplasmata, and Methanomicrobia were significantly more abundant in the sediment. Interactions between Bacteria and Archaea were common in both the water column and the sediment. The concentrations of major nutrients (NO^3-, PO4^3-, SiO3^2- and NH4^+) shaped the microbial population structures in the water. At the higher phylogenetic levels including phylum and class, many of the dominant groups were those that were also abundant in other lakes;however, novel microbial populations (unclassified) were often seen at the lower phylogenetic levels. Our study lays a foundation for examining microbial biogeochemical cycling in sequestered lakes or reservoirs.

Differential mRNA expression profiling of oral squamous cell carcinoma by high-throughput RNA sequencing

Differentially expressed genes are thought to regulate the development and progression of oral squamous cell carcinomas （OSCC）. The purpose of this study was to screen differentially expressed mRNAs in OSCC and matched paraneoplastic normal tissues, and to explore the intrinsic mechanism of OSCC development and progres- sion. We obtained the differentially expressed mRNA expression profiles in 10 pairs of fresh-frozen OSCC tissue specimens and matched paraneoplastic normal tissue specimens by high-throughput RNA sequencing. By using Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analyses, the functional significance of the differentially expressed genes were analyzed. We identified 1,120 sig- nificantly up-regulated mRNAs and 178 significantly down-regulated mRNAs in OSCC, compared to normal tissue. The differentially expressed mRNAs were involved in 20 biological processes and 68 signal pathways. Compared to adjacent normal tissue, the expression of MAGEAll was up-regulated; TCHH was down-regulated. These find- ings were verified by real-time PCR. These differentially expressed mRNAs may function as oncogenes or tumor suppressors in the development and progression of OSCC. This study provides novel insights into OSCC. However, further work is needed to determine if these differentially expressed mRNAs have potential roles as diagnostic bio- markers and candidate therapeutic targets for OSCC.

Characterization of Bacterial Community Associated with Four Organs of the Yesso Scallop (Patinopecten yessoensis) by High-Throughput Sequencing

We used Illumina high-throughput sequencing of PCR-amplified V3-V4 16 S rRNA gene regions to characterize bacterial communities associated with the adductor muscles, gills, gonads and intestines of the Yesso scallop(Patinopecten yessoensis) from waters around Zhangzidao, Dalian, China. Overall, 421,276 optimized reads were classified as 25 described bacterial phyla and 308 genera. Firmicutes, Proteobacteria, Tenericutes, Bacteroidetes, Chlamydiae and Spirochaetae accounted for > 97% of the total reads in the four organs. The bacterial 16 S rDNA sequences assigned to Firmicutes and Proteobacteria were abundant in the adductor muscles, gills and gonads; while reads from Tenericutes were dominant in the intestines, followed by those from Firmicutes, Chlamydiae, Proteobacteria and Bacteroidetes. At the genus level, the dominant genera in the adductor muscles, gills and gonads appeared to be Bacillus, Enterococcus and Lactococcus, whereas Mycoplasma was dominant in the intestines. The relative abundances of Bacillus, Enterococcus, Lactococcus, Alkaliphilus, Raoultella, Paenibacillus and Oceanobacillus were significantly lower in the intestine than in the other three organs. Cluster analysis and principal coordinates analysis of the operational taxonomy units profile revealed significant differences in the bacterial community structure between the intestine and the other three organs. Taken together, these results suggest that scallops have intestine-specific bacterial communities and the adductor muscles, gills and gonads harbor similar communities. The difference in the bacterial community between organs may relate to unique habitats, surroundings, diet and their respective physiological functions.

Gelatin filter capture-based high-throughput sequencing analysis of microbial diversity in haze particulate matter

Airborne particulate matter(PM),especially PM2.5,can be easily adsorbed by human respiratory system.Their roles in carrying pathogens for spreading epidemic diseases has attracted great concern.Herein,we developed a novel gelatin filter-based and culture-independent method for investigation of the microbial diversity in PM samples during a haze episode in Tianjin,China.This method involves particle capture by gelatin filters,filter dissolution for DNA extraction,and high-throughput sequencing for analysis of the microbial diversity.A total of 584 operational taxonomic units(OTUs)of bacteria and 370 OTUs of fungi at the genus level were identified during hazy days.The results showed that both bacterial and fungal diversities could be evaluated by this method.This study provides a convenient strategy for investigation of microbial biodiversity in haze,facilitating accurate evaluation of airborne epidemic diseases.

High-throughput sequencing analysis of differentially expressed mi RNAs and target genes in ischemia/reperfusion injury and apelin-13 neuroprotection

miRNAs regulate a variety of biological processes through pairing-based regulation of gene expression at the 3＇ end of the noncoding region of the target miRNA, miRNAs were found to be abnormally expressed in ischemia/reperfusion injury models. High-throughput sequencing is a recently developed method for sequencing miRNAs and has been widely used in the analysis of miRNAs. In this study, ischemia/reperfusion injury models were intracerebroventricularly injected with 50 pg/kg apelin-13. High-throughput sequencing showed that 357 known miRNAs were differentially expressed among rat models, among which 78 changed to 〉 2-fold or 〈 0.5-fold. Quantita- tive real-time polymerase chain reaction was selected to confirm the expression levels of four miRNAs that were differentially expressed, the results of which were consistent with the results of high-throughput sequencing. Gene Ontology analysis revealed that the predicted targets of the different miRNAs are particularly associated with cellular process, metabolic process, single-organism process, cell, and binding. Kyoto Encyclopedia of Gene and Genome analysis showed that the target genes are involved in metabolic pathways, mitogen-ac- tivated protein kinase signaling pathway, calcium signaling pathway, and nuclear factor-KB signaling pathway. Our findings suggest that differentially expressed miRNAs and their target genes play an important role in ischemia/reperfusion injury and neuroprotection by apelin-13.

Characterization of root-associated bacterial community structures in soybean and corn using locked nucleic acid(LNA) oligonucleotide-PCR clamping and 454 pyrosequencing

supported in part by grants from the Strategic Priority Research Program of Chinese Academy of Sciences （XDB15010103）;the National Natural Science Foundation of China （41201247）

RNA-Seq and Bulked Segregant Analysis of Genes Related to High Growth in <i>Ginkgo biloba</i>Half-Sibling Families

The lifetime of G. biloba is very long, and its growth is relatively slow. However, little is known about growth-related genes in this species. We combined mRNA sequencing (RNA-Seq) with bulked segregant analysis (BSA) to fine map significant agronomic trait genes by developing polymorphism molecular markers at the transcriptome level. In this study, transcriptome sequencing of high growth (GD) and low growth (BD) samples of G. biloba half-sib families was performed. After assembling the clean reads, 601 differential expression genes were detected and 513 of them were assigned functional annotations. Single nucleotide polymorphism (SNP) analysis identified SNPs associated with 119 genes in the GD and BD groups;58 of these genes were annotated. Two Homeobox-leucine zipper protein genes were up-regulated in the GD group compared with the BD group;therefore, these are very likely related to high growth of G. biloba. This study provides molecular level data that could be used for seed selection of high growth G. biloba half-sib families for future breeding programs.

基于RNA-seq测序的弓獭蛤(Lutraria rhynchaena)不同组织转录组差异研究

弓獭蛤(Lutraria rhynchaena)是我国南方沿海重要的海水养殖贝类,为探讨弓獭蛤不同组织的基因表达差异,本研究采用RNA-seq测序技术对北部湾海域弓獭蛤7种组织(肌肉、外套膜、鳃、肝胰腺、虹吸管、雌性性腺和雄性性腺)进行转录组测序及生物信息学分析。结果显示,21个样本共获得939 197 518条质控后序列,各组织质控后的碱基数为15.39—29.26 G。测序结果经过Denovo组装和ORF查找共获得56 773个Unigenes。在5个公共数据库NR (Non-Redundant protein sequence database)、GO (Gene Ontology)、eggNOG(evolutionary genealogy of genes:Non-supervised Orthologous Groups)、KEGG (Kyoto Encyclopedia of Genes and Genomes)和SWISS-Prot对比各注释分别得到24 557、13 094、17 524、10 352和13 857条有效注释信息。本研究获得了大量弓獭蛤组织间的差异表达基因,丰富了弓獭蛤的基因数据库,为更深入地了解弓獭蛤各组织功能,进一步挖掘和开发利用弓獭蛤功能基因提供基础数据。

基于RNA-Seq技术的鲮转录组分析

为满足标记辅助育种的要求,通过454测序平台首次开展了鲮Cirrhina molitorella全鱼转录组深度测序,并用Newbler等软件进行数据精细分析。结果表明:共获得了1 297 479条reads,总碱基数为486 586 191 bp,组装后得到19 962条contigs,平均长度为1269 bp,N50为1509 bp。基因功能注释研究共获取了10 577个特异蛋白,根据特异蛋白注释结果进行GO分析,有7314条contigs有GO注释,包含5381个特异蛋白;采用GO功能分类工具可将已注释转录物序列划分为分子功能、生物途径和细胞成分3类,为下一步开展生长等性状相关基因功能验证研究提供丰富的序列资源;共鉴定出5931个具有完整的ORF的全长c DNA序列,并且鉴定出2438个微卫星和5014个SNP位点。本研究中,还建立了鲮转录组数据库和网站,方便同行随时调取数据,这为深入开展鲮分子标记辅助的遗传育种、种群遗传学和资源评估等研究提供了丰富的标记资源。

基于RNA-seq的黄尾鲴肝脏转录组测序与分析

为了发掘黄尾鲴(Xenocypris davidi)功能基因特别是免疫相关基因,为其种质资源评价、群体遗传学多样性分析、基因连锁图谱构建、免疫相关功能基因地位以及分子标记辅助育种提供基础信息,采用Illumina HiSeq2500高通量技术平台对黄尾鲴肝脏进行转录组测序。通过去除低质量的raw reads,共获得了50 702 046条clean reads,组装得到53 527条Unigenes。采用BLAST相似性比对方法,把这些序列比对NR、String、Swissprot、KEGG和Pfam数据库,共有26 613条Unigenes得到了注释。有15 532条Unigenes获得了GO注释并分类到64个功能类别中,有7 737条Unigenes被归纳到COG的26个功能分类,共有14 642条获得了KEGG注释,共参与33条代谢通路中。根据免疫系统分类,共有1 299条Unigenes参与了16条代谢通路。从53 527个Unigenes中共找到98 826个单核苷酸多态性位点(SNP)(转换64 396个,颠换34 430个)和18 119个SSR位点。研究结果为黄尾鲴免疫学、基因组学、基因克隆以及分子标记辅助育种提供了重要依据。

氧化苦参碱对牙周膜干细胞干性标志物表达和成骨分化的作用

背景:人牙周膜干细胞是牙周再生组织工程潜在的功能细胞,然而长期体外培养会导致牙周膜干细胞干性减低并发生复制性衰老,从而影响其治疗效果。目的:探讨氧化苦参碱在体外对牙周膜干细胞干性维持和骨向分化的影响,并寻找潜在的影响机制。方法:采用组织块酶消化法从人牙周膜组织中分离、培养得到牙周膜干细胞,并使用流式细胞仪进行间充质细胞表面标志物鉴定。用0,2.5,5,10μg/mL氧化苦参碱孵育牙周膜干细胞,通过CCK8实验检测氧化苦参碱对牙周膜干细胞增殖活性的影响,筛选后续实验合适的药物质量浓度,采用Western blot检测牙周膜干细胞中干细胞非特异性蛋白SOX2和OCT4的表达,采用qRT-PCR、Western blot检测牙周膜干细胞中成骨相关基因和蛋白表达水平。结果与结论:①CCK8实验结果显示2.5μg/mL氧化苦参碱对牙周膜干细胞增殖活性有显著增强作用,后续实验选用2.5μg/mL氧化苦参碱进行干预;②与空白对照组相比,氧化苦参碱组牙周膜干细胞的干性标志物SOX2蛋白表达水平变化不明显(P>0.05),OCT4蛋白表达明显上调(P<0.05);③与成骨诱导组相比,氧化苦参碱+成骨诱导组牙周膜干细胞成骨相关基因ALP、RUNX2 mRNA表达及成骨相关蛋白ALP蛋白表达明显下调(P<0.05);④氧化苦参碱上调牙周膜干细胞干性标志物表达,抑制牙周膜干细胞骨向分化,高通量测序结果表明可能与WNT2、WNT16、COMP、BMP6有关。

RNA-Seq高通量测序技术在果树功能基因组学研究的应用进展

RNA-Seq又称为"转录组测序技术",它能够从整体水平研究物种基因功能以及基因结构,揭示特定生物学过程。应用该项技术能有效地解决因果树基因组庞大等问题,有效地揭示和阐明植物体内次生代谢生物合成途径及代谢机制。主要论述了RNA-Seq技术的应用方法与流程,通过对测序数据的处理分析与比对等方法,分析了RNA-Seq技术在果树新基因挖掘、次生代谢产物合成途径的应用进展,基于RNA-Seq的高通量测序技术对于发现和揭示具有重要生物学功能和经济价值的次生代谢产物合成关键基因及其调控机制提供了可能。

传统中草药高通量测序技术RNA-seq及lncRNA挖掘的应用策略

中草药作为中国传统中医特有药物已有上千年的历史,然而对中草药资源关键生物学过程中的功能基因挖掘却刚刚起步。lncRNA功能研究越来越引起人们的重视,结合RNA-seq技术研究中草药转录组中lncRNA功能,有望揭示中草药的生长、发育、代谢等生物学过程中的分子机制。综述了RNA-seq高通量测序及在中草药转录组测序中的应用策略,简述了lncRNA主要生物学功能及分析方法,并对RNA-seq技术和lncRNA生物信息学分析方法中存在的问题进行了简要讨论。

RNA-Seq本地分析平台的构建

目的:构建一个本地化的RNA-Seq数据处理分析平台,为RNA-Seq研究人员提供数据分析平台。方法:在调研现有的RNA-Seq数据分析研究成果的基础上,构建一套本地化的RNA-Seq分析平台,平台首先将测序数据中的低质量数据进行过滤,然后使用Top Hat将过滤后的数据与参考基因组数据进行比对,利用比对结果进行可变剪切分析、基因差异表达分析等,最后通过R语言工具包对分析结果进行可视化绘图。结果:通过对2组小鼠的RNA-Seq测序数据进行分析,构建的分析平台能够较好地过滤低质量测序数据,并且分析出2组数据间的差异表达基因,同时还可以图形化表示这些差异表达基因。结论:分析平台能够实现对RNA-Seq测序数据的质量控制、差异表达分析及分析结果的可视化。