CN115772555A - A method for removing ribosomal RNA sequences using dCas13 - Google Patents
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Abstract
本发明公开了一种利用dCas13去除核糖体RNA序列的方法;属于生物分子技术领域。通过利用无RNA酶活性的dead Cas13和生物素修饰的crRNA组形成的复合体特异性结合核糖体的RNA序列,再通过链霉亲和素修饰的磁珠进行负向选择,从而去除核糖体等高峰度的RNA序列,特异性降低核糖体RNA序列在测序数据中的占比,提高RNA文库测序效率和靶标RNA的测序深度。本发明方法应用在RNA‑seq测序和RNA病原体宏基因组测序可以快速去除高峰度的rRNA序列,提高靶标RNA序列的测序深度和效率,降低测序成本。
The invention discloses a method for removing ribosomal RNA sequences by using dCas13; it belongs to the technical field of biomolecules. The complex formed by dead Cas13 without RNase activity and biotin-modified crRNA groups specifically binds to the RNA sequence of ribosomes, and then performs negative selection through streptavidin-modified magnetic beads to remove ribosomes, etc. High-peak RNA sequences can specifically reduce the proportion of ribosomal RNA sequences in sequencing data, improve the sequencing efficiency of RNA libraries and the sequencing depth of target RNAs. The method of the present invention is applied to RNA-seq sequencing and RNA pathogen metagenomic sequencing to quickly remove high-peak rRNA sequences, improve the sequencing depth and efficiency of target RNA sequences, and reduce sequencing costs.
Description
技术领域technical field
本发明涉及RNA二代测序文库构建的流程和方法以及RNA测序流程中高峰度核糖体rRNA序列的去除技术,具体涉及一种利用dCas13去除核糖体RNA序列的方法,属于生物分子技术领域。The invention relates to a process and method for constructing an RNA next-generation sequencing library and a technology for removing high-peak ribosomal rRNA sequences in the RNA sequencing process, in particular to a method for removing ribosomal RNA sequences by using dCas13, which belongs to the field of biomolecular technology.
技术背景technical background
随着高通量DNA测序技术,也称为二代测序技术(Next-Generation Sequencing)的发展,其在科学研究和临床诊断中的应用越来越广泛。二代测序技术获得大量的DNA序列数据,通过对DNA序列的比对分析,达到对疾病精准诊疗的目的。目前从遗传性疾病的诊断,肿瘤驱动基因突变位点的检测,再到病原宏基因组测序的应用,二代测序NGS技术在各种疾病的诊断中已经发挥着作用。With the development of high-throughput DNA sequencing technology, also known as next-generation sequencing technology (Next-Generation Sequencing), its application in scientific research and clinical diagnosis is becoming more and more extensive. Next-generation sequencing technology obtains a large amount of DNA sequence data, and through the comparison and analysis of DNA sequences, the purpose of precise diagnosis and treatment of diseases can be achieved. At present, from the diagnosis of genetic diseases, the detection of tumor driver gene mutation sites, to the application of pathogenic metagenomic sequencing, next-generation sequencing NGS technology has played a role in the diagnosis of various diseases.
Cas13也被叫做C2C2蛋白,是2016年被发现的CRISPR/Cas系统的一个新成员,Cas13被发现其功能是通过特异的RNA引导识别并切割靶标RNA,同时Cas13被发现具有一种“乱切”活性——一旦识别靶RNA后,其蛋白构象发生变构,获得一种非特异性的RNA酶活性,利用这个特性,目前Cas13多应用在核酸的分子检测中。当然Cas13特异性识别切割靶标RNA的作用也被用来在细胞内敲降基因的RNA的表达水平。最近也有研究人员利用dead Cas13(即无RNA活性的Cas13蛋白)通过其和crRNA结合形成复合物,特异结合在靶标RNA区域从而抑制该RNA在细胞内的翻译,达到敲降RNA的作用,调节基因的表达。Cas13, also known as C2C2 protein, is a new member of the CRISPR/Cas system discovered in 2016. Cas13 was found to function to recognize and cut target RNA through specific RNA guidance. At the same time, Cas13 was found to have a "random cut" Activity—Once the target RNA is recognized, its protein conformation will undergo allosteric changes, and a non-specific RNase activity will be obtained. Taking advantage of this feature, Cas13 is currently mostly used in the molecular detection of nucleic acids. Of course, Cas13's ability to specifically recognize and cut target RNA is also used to knock down the expression level of gene RNA in cells. Recently, researchers have also used dead Cas13 (that is, Cas13 protein without RNA activity) to form a complex by binding to crRNA, specifically binding to the target RNA region, thereby inhibiting the translation of the RNA in the cell, achieving the effect of knocking down RNA and regulating genes. expression.
在二代测序技术应用中,有很大一部分应用是需要的对样本中的RNA序列进行测序分析,例如转录组测序,单细胞转录组测序,可以研究所有基因的表达水平,更加全面的评价在不同疾病、时期、状态下体内基因的表达情况,为疾病的诊断的,治疗,药物的研发等提供更加科学和全面的支持;病原宏基因组中RNA病原体测序,可以直接在样本中发现某种RNA病原体的存在,为精准的治疗提供支持信息,例如新冠SARS-CoV-2病毒是RNA病毒,就是通过二代测序技术对RNA文库的测序发现的。In the application of next-generation sequencing technology, a large part of the application requires sequencing and analysis of RNA sequences in samples, such as transcriptome sequencing and single-cell transcriptome sequencing, which can study the expression levels of all genes, and more comprehensive evaluation in The expression of genes in the body under different diseases, periods, and states provides more scientific and comprehensive support for disease diagnosis, treatment, and drug research and development; RNA pathogen sequencing in pathogen metagenomics can directly find a certain RNA in the sample The existence of pathogens provides supporting information for precise treatment. For example, the new coronavirus SARS-CoV-2 is an RNA virus, which was discovered by sequencing the RNA library through next-generation sequencing technology.
在RNA文库的高通量测序的过程中,由于总RNA中80-90%为核糖体rRNA序列,如果直接逆转录进行测序,得到80-90%的序列都是核糖体序列,这部分序列往往是没有意义的无效序列,增加了测序成本。所以不管是在转录组RNA-seq测序中,还是RNA病原体的宏基因组测序应用中,都需要最大程度的去除这部分高峰度核糖体rRNA的序列,来提高RNA测序的效率,降低RNA测序的实际成本。目前主要有两种方法对RNA文库中高峰度核糖体rRNA进行消除。In the process of high-throughput sequencing of RNA libraries, since 80-90% of the total RNA is ribosomal rRNA sequence, if the sequence is directly reverse-transcribed, 80-90% of the sequence is ribosomal sequence, and this part of the sequence is often It is a meaningless invalid sequence, which increases the cost of sequencing. Therefore, whether it is in transcriptome RNA-seq sequencing or in the application of metagenomic sequencing of RNA pathogens, it is necessary to remove this part of the high-peak ribosomal rRNA sequence to the greatest extent to improve the efficiency of RNA sequencing and reduce the practicality of RNA sequencing. cost. At present, there are mainly two methods to eliminate the high peak ribosomal rRNA in the RNA library.
1)只针对mRNA的富集测序的方法:传统的RNA-seq转录组测序往往会在RNA提取过程中通过mRNA含有polyA的特性,利用oligo T探针,只针对RNA中的mRNA进行富集,核糖体rRNA因不含有polyA因而被去除。然而方法存在着很多应用的缺陷,例如该方法只能测序到含有PolyA的RNA,对很多不含polyA转录本,小RNA转录本都不能测序得到有效的信息,然而他们在基因的表达调控和细胞命运的进程中都发挥着重要的作用,并且大量的存在。另外由于很多细菌和病毒的RNA不同真核细胞的mRNA的polyA,并且很多RNA转录本不含有polyA,因此该方法不能用于目前的RNA病原宏基因组测序。1) The method of enrichment sequencing only for mRNA: Traditional RNA-seq transcriptome sequencing often uses the characteristics of mRNA containing polyA during the RNA extraction process, and uses oligo T probes to enrich only mRNA in RNA. Ribosomal rRNA is removed because it does not contain polyA. However, there are many application defects in the method. For example, this method can only sequence RNA containing PolyA. For many non-polyA transcripts, small RNA transcripts cannot be sequenced to obtain effective information. However, they are important in the regulation of gene expression and cell Both play an important role in the course of fate, and exist in large numbers. In addition, since the RNA of many bacteria and viruses is different from the polyA of the mRNA of eukaryotic cells, and many RNA transcripts do not contain polyA, this method cannot be used for current RNA pathogenic metagenomic sequencing.
2)针对总RNA中的核糖体rRNA进行去除的方法:这种方法目前市场已经存在很多去除rRNA的试剂盒,主要以NEB公司的rRNA Depletion Kit和ThermoFisher公司的RiboMinus,rRNA Depletion Kit的主要原理是通过序列特异的单链DNA探针和核糖体rRNA序列,进行杂交形成DNA-RNA杂交双链,在同过RNase H酶切割消化掉杂交双链中的RNA链后,再通过DNase 1酶切割消化掉体系中的单链DNA探针,然后进行RNA的逆转录,文库构建和二代测序。ThermoFisher-RiboMinus主要是通过标记的DNA探针和rRNA序列进行杂交,再通过特异性磁珠和标记探针的特异性结合,从而去除核糖体rRNA的序列。目前这两种方法都需要大量的探针,繁琐的人工操作,且商品化的试剂都比较昂贵,并且单纯DNA探针和RNA的分子杂交需要很长的杂交时间(一般从几个小时到十几个小时)。2) A method for removing ribosomal rRNA in total RNA: This method currently has many kits for removing rRNA in the market, mainly based on NEB’s rRNA Depletion Kit and ThermoFisher's RiboMinus, The main principle of the rRNA Depletion Kit is to hybridize the sequence-specific single-stranded DNA probe and the ribosomal rRNA sequence to form a DNA-RNA hybrid double-strand. After the RNA strand in the hybrid double-strand is digested by RNase H enzyme, Then, the single-stranded DNA probe in the system is digested by
发明内容Contents of the invention
本发明要解决上述问题,从而提供了一种利用dCas13去除核糖体RNA序列的方法。本发明可以去除核糖体等高峰度的RNA序列,特异性降低核糖体RNA序列在后续测序数据中的占比,提高RNA文库测序效率和靶标RNA的测序深度,并且本发明方法在RNA病原体宏基因组测序时也可以快速去除rRNA序列,提高病原体靶序列的检出。The present invention aims to solve the above problems, thereby providing a method for removing ribosomal RNA sequences by using dCas13. The present invention can remove RNA sequences with high peaks such as ribosomes, specifically reduce the proportion of ribosomal RNA sequences in subsequent sequencing data, improve the sequencing efficiency of RNA libraries and the sequencing depth of target RNAs, and the method of the present invention can be used in RNA pathogen metagenomics The rRNA sequence can also be quickly removed during sequencing to improve the detection of pathogen target sequences.
本发明解决上述问题的技术方案如下:The technical scheme that the present invention solves the above problems is as follows:
所述方法利用无RNA酶活性的dead Cas13和生物素修饰的多个crRNA形成复合体,特异性结合高峰度核糖体的RNA序列,再通过链霉亲和素修饰的磁珠进行结合dCas13-crRNAs-rRNA,去除以核糖体为主的高峰度RNA序列,特异性降低核糖体RNA序列在后续测序数据中的占比,提高RNA文库测序效率和靶标RNA的测序深度;所述crRNA为Cas13蛋白对应的crRNA,同时也包括crRNA结构序列的变体;所述的dCas13为无RNA酶活性的Cas13蛋白。The method utilizes dead Cas13 without RNase activity and biotin-modified multiple crRNAs to form a complex, specifically binds to the RNA sequence of the high peak ribosome, and then binds dCas13-crRNAs through streptavidin-modified magnetic beads -rRNA, remove the ribosome-based high peak RNA sequence, specifically reduce the proportion of ribosomal RNA sequence in subsequent sequencing data, improve the sequencing efficiency of RNA library and the sequencing depth of target RNA; the crRNA corresponds to Cas13 protein The crRNA also includes variants of the crRNA structural sequence; the dCas13 is a Cas13 protein without RNase activity.
作为上述技术方案的优选,所述的dCas13为无RNA酶活性的Cas13蛋白,Cas13蛋白包括Cas13a、Cas13b;Cas13a可以是LwaCas13a、LbuCas13a、LbaCas13a;Cas13b可以是PsmCas13b、CcaCas13b。其中无RNA酶活性的Cas13蛋白,即dCas13蛋白是对Cas13蛋白的2个HEPN结构域的活性位点的进行突变而来,包括对任意一个HEPN结构域中的任意氨基酸的突变,也包括同时对非HEPN区域的其他位点进行突变得到的dCas13蛋白。As a preferred technical solution, the dCas13 is a Cas13 protein without RNase activity, and the Cas13 protein includes Cas13a, Cas13b; Cas13a can be LwaCas13a, LbuCas13a, LbaCas13a; Cas13b can be PsmCas13b, CcaCas13b. Among them, the Cas13 protein without RNase activity, that is, the dCas13 protein is mutated from the active sites of the two HEPN domains of the Cas13 protein, including mutations to any amino acid in any HEPN domain, and also including simultaneous mutations The dCas13 protein obtained by mutating other sites in the non-HEPN region.
作为上述技术方案的优选,所述的crRNA为末端crRNA的生物素修饰的crRNA,包括改进的其他形式的生物素修饰,也包括在crRNA任意核苷酸上的生物素化修饰。As a preference of the above technical solution, the crRNA is a biotin-modified crRNA of the terminal crRNA, including other improved forms of biotin modification, and also includes biotinylation modification on any nucleotide of crRNA.
作为上述技术方案的优选,针对核糖体rRNA设计的crRNA在rRNA序列上的间隔平均为30bp~200bp范围;每个crRNA的互补匹配spacer序列长度为22~32bp的范围。As a preference of the above technical solution, the crRNA designed for ribosomal rRNA has an average spacing of 30bp to 200bp on the rRNA sequence; the complementary matching spacer sequence length of each crRNA is in the range of 22 to 32bp.
作为上述技术方案的优选,dCas13:crRNA用量的摩尔比范围为1:1到10:1,dCas13:crRNA:RNA投入量的摩尔比范围为1:1:1到10:1:0.1;投入总RNA核酸量的范围为1ng~5μg。As a preferred technical solution, the molar ratio of dCas13:crRNA dosage ranges from 1:1 to 10:1, and the molar ratio range of dCas13:crRNA:RNA input dosage ranges from 1:1:1 to 10:1:0.1; The amount of RNA nucleic acid ranges from 1 ng to 5 μg.
本发明中使用链霉亲和素修饰的磁珠结合dCas13-crRNAs-rRNA后,弃去磁珠部分,保留其他组分,然后进行纯化,逆转录,建库,该步骤是负向选择的过程。In the present invention, after using streptavidin-modified magnetic beads to bind dCas13-crRNAs-rRNA, discard the magnetic bead part, keep other components, and then perform purification, reverse transcription, and library construction. This step is a process of negative selection .
作为上述技术方案的优选,其中去除的核糖体rRNA序列包括人28S rRNA,18SrRNA,5.8S rRNA,5S rRNA,线粒体rRNA的RNR1,RNR2序列。As a preferred technical solution, the removed ribosomal rRNA sequences include human 28S rRNA, 18S rRNA, 5.8S rRNA, 5S rRNA, RNR1 and RNR2 sequences of mitochondrial rRNA.
综上所述,本发明具有以下有益效果:In summary, the present invention has the following beneficial effects:
1)、本发明利用dCas13-crRNAs结合核糖体rRNA序列,再通过链霉亲和素修饰的磁珠进行负向选择,去除核糖体等高峰度的RNA序列,本发明方法不需要繁琐的操作,非常简便;1), the present invention utilizes dCas13-crRNAs to bind ribosomal rRNA sequences, and then performs negative selection through streptavidin-modified magnetic beads to remove high-peak RNA sequences such as ribosomes. The method of the present invention does not require cumbersome operations, very easy;
2)、该发明利用了dCas13-crRNAs可以快速的特异性结合靶RNA序列的特点,反应时间快速。该方法比传统只依赖单链DNA杂交降解的方法速度极大加快,可以节省大量的处理时间。2), the invention utilizes the characteristics that dCas13-crRNAs can quickly and specifically bind to the target RNA sequence, and the reaction time is fast. This method is much faster than the traditional method that only relies on single-stranded DNA hybridization degradation, which can save a lot of processing time.
附图说明Description of drawings
图1为本发明利用dCas13去除高峰度核糖体RNA序列原理流程示意图。Fig. 1 is a schematic flow chart of the principle of using dCas13 to remove high peak ribosomal RNA sequences in the present invention.
图2为不同crRNA间隔密度对rRNA去除效率的结果。Figure 2 shows the results of different crRNA spacer densities on rRNA removal efficiency.
图3为dCas13a-crRNA-样本RNA三者的投入比例对核糖体rRNA的去除效率的影响。Figure 3 shows the effect of the input ratio of dCas13a-crRNA-sample RNA on the removal efficiency of ribosomal rRNA.
图4为利用dead LwaCas13a对培养细胞中rRNA的去除结果。Figure 4 shows the results of rRNA removal in cultured cells by dead LwaCas13a.
图5为dCas13-crRNA方法在RNA病原宏基因组测序应用。Figure 5 shows the application of the dCas13-crRNA method in RNA pathogen metagenomic sequencing.
具体实施方式Detailed ways
以下结合具体实施例对本发明的方法进行详细的说明,这些实施例应理解成对本发明的具体说明和阐述,不应理解成为本发明范围的限制。本领域技术人员在本发明基础上进行的修改或改动,只要在权利要求书的范围内,都将受到专利法的保护。The method of the present invention will be described in detail below in conjunction with specific examples. These examples should be understood as a specific description and elaboration of the present invention, and should not be construed as limitations on the scope of the present invention. Any modifications or changes made by those skilled in the art on the basis of the present invention will be protected by the patent law as long as they are within the scope of the claims.
实施例1Example 1
在本实施例中,我们选择人核糖体RNA中的18S rRNA的序列,作为dCas13-crRNA去除的靶标,设计的crRNA靶向的序列如下表。选择的dCas13为dead LwaCas13a。In this example, we selected the sequence of 18S rRNA in human ribosomal RNA as the target for dCas13-crRNA removal, and the designed crRNA targeting sequence is shown in the table below. The selected dCas13 is dead LwaCas13a.
表1.核糖体18S rRNA crRNA靶向序列表Table 1. List of ribosomal 18S rRNA crRNA targeting sequences
针对靶向18S rRNA序列总共设计61个crRNA,分别靶向的序列如表1。A total of 61 crRNAs were designed for targeting 18S rRNA sequences, and the targeted sequences are shown in Table 1.
生物素化crRNA的合成:将表1中的靶向序列反向互补,并且在5’加上共同的骨架序列GATTTAGACTACCCCAAAAACGAAGGGGACTAAAAC,在crRNA3’端加上生物素biotin的修饰,进行crRNA的合成,例如,针对表1中靶向序列1合成的crRNA1序列为:Synthesis of biotinylated crRNA: The target sequence in Table 1 is reverse-complemented, and a common backbone sequence GATTTAGACTACCCCAAAAACGAAGGGGACTAAAAC is added to the 5', and biotin biotin is added to the 3' end of the crRNA to synthesize crRNA, for example, The crRNA1 sequence synthesized for
5’-GAUUUAGACUACCCCAAAAACGAAGGGGACUAAAACGCCCGGCGCCCCGCAAGC GAGGAGGACG-3’-biotin5'-GAUUUAGACUACCCCAAAAACGAAGGGGACUAAAACGCCCGGCGCCCCGCAAGC GAGGAGGACG-3'-biotin
本发明实施例中所有crRNAs都采用上述的这种方法获得。All crRNAs in the examples of the present invention were obtained by the above-mentioned method.
将表1中所有的crRNA混合后得到的crRNA pool 1,即在18S rRNA上平均间隔长度为30bp左右;以表1中选择每隔1个序号的crRNA进行混合(例如本实施列中选择的1,3,5,7,9.........序号的crRNA),最终选择31个为crRNA pool 2,即在18S rRNA上平均间隔长度为60bp左右;以表1中每隔3个序号的crRNA进行混合(例如本实施列中选择的1,5,9,13,17.........序号的crRNA),最终选择16个为crRNA pool 3,即在18S rRNA上平均间隔长度为120bp左右。分别利用这三个crRNA pool进行去除靶标18S rRNA并和未加crRNA对照组,未处理的对照组进行对比,分别进行建库,混合测序,将测序后的数据reads序列进行特异性比对18S rRNA的序列,分析不同密度间隔crRNA对18S rRNA的去除。结果说明crRNA在靶序列的上的平均间隔,为30bp左右时,去除rRNA靶序列的效果最好。(如图2)。The
本实施列中去除高峰度rRNA去除步骤如下:In this embodiment, the steps to remove the high peak rRNA are as follows:
1)dCas13-crRNA pool-rRNA结合:按照下表的反应体系将dCas13和crRNAslibrary和total RNA在反应液中进行结合,37℃,孵育30分钟。1) dCas13-crRNA pool-rRNA combination: Combine dCas13, crRNAslibrary and total RNA in the reaction solution according to the reaction system in the table below, and incubate at 37°C for 30 minutes.
2)链霉亲和素磁珠清洗准备:吸取50μL链霉亲和素磁珠,加入100μL清洗溶液A:(DEPC-treated 0.1M NaOH DEPC-treated 0.05M NaC),清洗两遍后,再加入清洗溶液B:(DEPC-treated 0.1M NaCl),清洗一遍。再将磁珠重悬于100μL链霉亲和素磁珠结合和清洗缓冲液即2X B&W Buffer中:(10mM Tris-HCl(pH 7.5),1mM EDTA,2M NaCl)。2) Streptavidin magnetic beads cleaning preparation: Take 50 μL streptavidin magnetic beads, add 100 μL cleaning solution A: (DEPC-treated 0.1M NaOH DEPC-treated 0.05M NaC), wash twice, then add Cleaning solution B: (DEPC-treated 0.1M NaCl), wash once. Then resuspend the magnetic beads in 100 μL streptavidin magnetic bead binding and washing buffer, namely 2X B&W Buffer: (10 mM Tris-HCl (pH 7.5), 1 mM EDTA, 2M NaCl).
3)链霉亲和素磁珠的负向选择:将步骤1中的反应液加入步骤2中磁珠溶液中,室温下,轻轻旋转,孵育15min,置于磁力架上2min,收集溶液部分,进行RNA纯化。3) Negative selection of streptavidin magnetic beads: add the reaction solution in
4)去除后RNA的逆转录,文库构建和上机测序,测序数据的比对。4) Reverse transcription of RNA after removal, library construction and on-machine sequencing, and comparison of sequencing data.
5)测序下机的数据针对rRNA的分析参考下面自己编写python代码进行分析。其中rRNA,28S rRNA,18S rRNA,5.8S rRNA,5S rRNA线粒体rRNA RNR1和RNR2的参考序列,见序列表,rRNA分析代码如下:5) For the analysis of the rRNA data from the sequencing machine, refer to the python code written below for analysis. Among them, the reference sequence of rRNA, 28S rRNA, 18S rRNA, 5.8S rRNA, 5S rRNA mitochondrial rRNA RNR1 and RNR2, see the sequence list, the rRNA analysis code is as follows:
实施例2Example 2
在实施例1设计的crRNA序列基础上,继续针对人28S rRNA,5.8S rRNA,5S rRNA,线粒体rRNA RNR1和线粒体rRNA RNR2的rRNA序列进行设计crRNA,crRNA靶向的序列分别如下表,这样基本对RNA样本中大多数的高峰度rRNA序列(占总RNA的80-90%左右),进行了crRNA靶向设计覆盖,平均的设计密度为间隔30bp设计一个crRNA。本实施列中所有crRNA的合成均按照实施例1中的方法进行,将设计的针对28S,18S,5.8S,5S,RNR1,RNR2的所有crRNA等浓度100μM等体积混合形成去除总rRNA的crRNA library。参照实施例1中的方法进行rRNA的去除。本实施例中采用以下的dCas13,crRNAs和RNA比例,来评价dCas13-crRNAs和RNA的投入比例对总体rRNA的去除效率。On the basis of the crRNA sequence designed in Example 1, continue to design crRNA for the rRNA sequences of human 28S rRNA, 5.8S rRNA, 5S rRNA, mitochondrial rRNA RNR1 and mitochondrial rRNA RNR2. Most of the high peak rRNA sequences in the RNA sample (accounting for about 80-90% of the total RNA) have been covered by crRNA targeting design, and the average design density is to design a crRNA with an interval of 30bp. The synthesis of all crRNAs in this example was carried out according to the method in Example 1. All crRNAs designed for 28S, 18S, 5.8S, 5S, RNR1, and RNR2 were mixed at equal concentrations of 100 μM and equal volumes to form a crRNA library that removes total rRNA . The removal of rRNA was carried out referring to the method in Example 1. In this embodiment, the following ratios of dCas13, crRNAs and RNA are used to evaluate the removal efficiency of the input ratio of dCas13-crRNAs and RNA to the overall rRNA.
(本发明所有实施例中RNA的摩尔浓度以500bp大小来进行估算,例如100ng/100μL体系中的RNA摩尔浓度为5.88nM)(The molar concentration of RNA in all the examples of the present invention is estimated with a size of 500bp, for example, the molar concentration of RNA in a 100ng/100μL system is 5.88nM)
1)dLwaCas13a:crRNA:RNA=5:5:1=500nM:500nM:100nM1) dLwaCas13a:crRNA:RNA=5:5:1=500nM:500nM:100nM
2)dLwaCas13a:crRNA:RNA=5:1:1=500nM:100nM:100nM2) dLwaCas13a:crRNA:RNA=5:1:1=500nM:100nM:100nM
3)dLwaCas13a:crRNA:RNA=5:1:0.5=500nM:100nM:50nM3) dLwaCas13a:crRNA:RNA=5:1:0.5=500nM:100nM:50nM
4)dLwaCas13a:crRNA:RNA=5:1:0.1=500nM:100nM:10nM4) dLwaCas13a:crRNA:RNA=5:1:0.1=500nM:100nM:10nM
本实施例中去除rRNA的步骤与实施例1流程步骤相同,除了使用的dLwaCas13a-crRNA-RNA比例和用量不同。实验的结果说明,当三者的比例为:dLwaCas13a:crRNA:RNA=5:1:0.1=500nM:100nM:10nM时,rRNA去除效果最佳,可以将样本中rRNA的测序占比从85%降低到22%左右(如图3)。The steps for removing rRNA in this example are the same as those in Example 1, except that the ratio and amount of dLwaCas13a-crRNA-RNA used are different. The results of the experiment show that when the ratio of the three is: dLwaCas13a:crRNA:RNA=5:1:0.1=500nM:100nM:10nM, the rRNA removal effect is the best, and the rRNA sequencing ratio in the sample can be reduced from 85% to about 22% (as shown in Figure 3).
表2.核糖体28S rRNA crRNA靶向序列表Table 2. List of ribosomal 28S rRNA crRNA targeting sequences
表3.核糖体5.8S rRNA crRNA靶向序列表Table 3. Ribosome 5.8S rRNA crRNA targeting sequence list
表4.核糖体5.8S rRNA crRNA靶向序列表Table 4. Ribosome 5.8S rRNA crRNA targeting sequence list
表5.线粒体核糖体RNR1 crRNA靶向序列表Table 5. Mitochondrial ribosomal RNR1 crRNA targeting sequence list
表6.线粒体核糖体RNR2 crRNA靶向序列表Table 6. Mitochondrial ribosomal RNR2 crRNA targeting sequence list
实施例3Example 3
本实施例中我们对培养的jurkat细胞进行提取RNA,然后利用的总rRNA进行去除,本实施例中使用crRNA pool和实施例2中的相同,为针对28S,18S,5.8S,5S,RNR1,RNR2的所有的rRNA设计的crRNA pool。结果说明该方法可以大幅度的降低RNA样本中核糖体rRNA序列,显著提高对其他靶序列的测序效率。In this example, we extract RNA from the cultured jurkat cells, and then use the total rRNA to remove it. The crRNA pool used in this example is the same as that in Example 2, for 28S, 18S, 5.8S, 5S, RNR1, A crRNA pool designed for all rRNAs of RNR2. The results show that this method can greatly reduce the ribosomal rRNA sequence in the RNA sample, and significantly improve the sequencing efficiency of other target sequences.
本实施例中去除rRNA的步骤与实施例1和实施例2中的流程步骤相同,除了使用的dLwaCas13a-crRNA-RNA比例和用量不同。当三者的比例为:dLwaCas13a:crRNA:RNA=5:1:0.1=500nM:100nM:10nM时,rRNA去除效果最佳,可以将样本中rRNA的测序占比从81%降低到12%左右,整体rRNA去除效率能达到85%(如图4)。The steps for removing rRNA in this example are the same as those in Example 1 and Example 2, except that the ratio and amount of dLwaCas13a-crRNA-RNA used are different. When the ratio of the three is: dLwaCas13a:crRNA:RNA=5:1:0.1=500nM:100nM:10nM, the rRNA removal effect is the best, and the rRNA sequencing ratio in the sample can be reduced from 81% to about 12%. The overall rRNA removal efficiency can reach 85% (as shown in Figure 4).
实施例4Example 4
本实施例中我们对三个临床的呼吸道样本进行RNA提取,然后对利用本发明的方法dCas13a去除总rRNA和未对应进行rRNA去除的样本进行RNA逆转录建库和宏基因组测序,将测序进行比较,来分析rRNA去除后的测序对呼吸道RNA病原体检出的效果的改善情况。In this example, we performed RNA extraction on three clinical respiratory samples, and then carried out RNA reverse transcription library construction and metagenomic sequencing on samples that had been depleted of total rRNA by dCas13a using the method of the present invention and samples that had not been correspondingly depleted of rRNA, and compared the sequencing. To analyze the improvement of the effect of sequencing after rRNA removal on the detection of respiratory RNA pathogens.
本实施例中样本1中,dCas13a去除rRNA后,rRNA的占比从83%降低到了15.2%,样本中的甲型流感病毒的检出从RPM 34.2增加到了RPM 270.9,检出的丰度增加了7.3倍。样本2中dCas13a去除rRNA后,rRNA的占比从75.8%降低到了13.9%,样本中的呼吸道合胞病毒A型的检出从RPM 71.6增加到了RPM 556.2,检出的丰度增加了7.8倍。样本3中dCas13a去除rRNA后,rRNA的占比从74.8%降低到了16.2%,rRNA去除前并未检测到其他RNA病原体,dCas13a去除rRNA后测序检出甲型流感病毒RPM 4.8。说明在病原宏基因组的测序中本发明方法可以大幅降低高峰度的冗余rRNA序列占比,提高RNA病原体的检出。In
本实施例中采用如下的流程进行rRNA的去除,dCas13-crRNA pool-RNA三者的比例为:dLwaCas13a:crRNA:RNA=5:1:0.1。In this embodiment, the following process is used to remove rRNA, and the ratio of dCas13-crRNA pool-RNA is: dLwaCas13a:crRNA:RNA=5:1:0.1.
1)dCas13-crRNA pool-rRNA结合:按照下表的反应体系将dCas13和crRNAslibrary和total RNA在反应液中进行结合,37℃,孵育30分钟。1) dCas13-crRNA pool-rRNA combination: Combine dCas13, crRNAslibrary and total RNA in the reaction solution according to the reaction system in the table below, and incubate at 37°C for 30 minutes.
2)链霉亲和素磁珠清洗准备:吸取50μL链霉亲和素磁珠,加入100μL清洗溶液A:DEPC-treated 0.1M NaOH DEPC-treated 0.05M NaC,清洗两边后,再加入清洗溶液B:DEPC-treated 0.1M NaCl,清洗一遍。再将磁珠重悬于100μL链霉亲和素磁珠结合和清洗缓冲液即2X B&W Buffer中10mM Tris-HCl(pH 7.5),1mM EDTA,2M NaCl。2) Streptavidin magnetic beads cleaning preparation: Take 50μL streptavidin magnetic beads, add 100μL cleaning solution A: DEPC-treated 0.1M NaOH DEPC-treated 0.05M NaC, wash both sides, then add cleaning solution B : DEPC-treated 0.1M NaCl, wash once. Then resuspend the magnetic beads in 100 μL streptavidin magnetic bead binding and washing buffer, ie 10 mM Tris-HCl (pH 7.5), 1 mM EDTA, 2M NaCl in 2X B&W Buffer.
3)链霉亲和素磁珠的负向选择:将步骤1中的反应液加入步骤2中磁珠溶液中,室温下,轻轻旋转,孵育15min,置于磁力架上2min,收集溶液部分,进行RNA纯化。3) Negative selection of streptavidin magnetic beads: add the reaction solution in
4)去除后RNA的逆转录,文库构建和上机测序,测序数据的比对。4) Reverse transcription of RNA after removal, library construction and on-machine sequencing, and comparison of sequencing data.
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