Bu çalışma, Wisconsin Vakfı Araştırma ve Üniversitesi Morgridge Enstitüsü fon tarafından desteklenmiştir. Krista Eastman editoryal yardımlarından dolayı teşekkür ederiz.

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	<li>Tang, F., Barbacioru, C., Wang, Y., Nordman, E., Lee, C., Xu, N., Wang, X., Bodeau, J., Tuch, B. B., Siddiqui, A., Lao, K., Surani, M. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=mRNA-Seq+whole-transcriptome+analysis+of+a+single+cell.">mRNA-Seq whole-transcriptome analysis of a single cell.</a> Nature Methods. 6, 377-382 (2009).</li><li>Armour, C. D., Castle, J. C., Chen, R., Babak, T., Loerch, P., Jackson, S., Shah, J. K., Dey, J., Rohl, C. A., Johnson, J. M., Raymond, C. K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Digital+transcriptome+profiling+using+selective+hexamer+priming+for+cDNA+synthesis.">Digital transcriptome profiling using selective hexamer priming for cDNA synthesis.</a> Nature Methods. 6, 647-649 (2009).</li><li>Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., Wold, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mapping+and+quantifying+mammalian+transcriptomes+by+RNA-Seq.">Mapping and quantifying mammalian transcriptomes by RNA-Seq.</a> Nature Methods. 5, 621-628 (2008).</li><li>Mamanova, L., Andrews, R. M., James, K. D., Sheridan, E. M., Ellis, P. D., Langford, C. F., Ost, T. W., Collins, J. E., Turner, D. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=FRT-seq+amplification-free,+strand-specific+transcriptome+sequencing.">FRT-seq amplification-free, strand-specific transcriptome sequencing.</a> Nature Methods. 5, 130-132 (2010).</li><li>Sengupta, S., Ruotti, V., Bolin, J., Elwell, A., Hernandez, A., Thomson, J., Stewart, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Highly+consistent,+fully+representative+mRNA-Seq+libraries+from+ten+nanograms+of+total+RNA.">Highly consistent, fully representative mRNA-Seq libraries from ten nanograms of total RNA.</a> Biotechniques. 49, 898-904 (2010).</li><li>Langmead, B., Trapnell, C., Pop, M., Salzberg, S. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Ultrafast+and+memory-efficient+alignment+of+short+DNA+sequences+to+the+human+genome.">Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.</a> Genome. Biology. 10, R25-R25 (2009).</li><li>Li, B., Ruotti, V., Stewart, R. M., Thomson, J. A., Dewey, C. N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=RNA-Seq+gene+expression+estimation+with+read+mapping+uncertainty.">RNA-Seq gene expression estimation with read mapping uncertainty.</a> Biotechniques. 26, 493-500 (2010).</li><li>Thomson, J. A., Itskovitz-Eldor, J., Shapiro, S. S., Waknitz, M. A., Swiergiel, J. J., Marshall, V. S., Jones, J. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Embryonic+stem+cell+lines+derived+from+human+blastocysts.">Embryonic stem cell lines derived from human blastocysts.</a> Science. 282, 1145-1147 (1998).</li></ol>

Yazarlar JAT Hücresel Dynamics International (CDI) kurucusu, stockowner, danışman ve yönetim kurulu üyesi olduğunu açıkladı. Ayrıca bilimsel danışman olarak hizmet vermekte ve Taktikler II Kök Hücre Ventures mali çıkarları var.

Eşleştirilmiş sonuna kütüphaneler yapmak için mevcut protokoller, 1 mg 9 - 2,5 mg 10 total RNA başlangıç ​​miktarı arasında gerektirir. Burada bu yöntem sağlar hem de tek bir okuma ve eşli sonuna Illumina sıralama kütüphaneler ve gösteri hazırlamak için doğrusal T7 amplifikasyon temelli (T7LA) yöntemi ile karşılaştırılabilir veri üreten toplam RNA düşük olarak 10 ng kütüphaneler, nesil en az 1000 kat daha başlangıç ​​materyalinin (10 mikrogram total RNA) yapılan amplifiye (MinAmp) kütüphaneleri. 10 ng kütüphaneler, sadece genlerin benzer sayıların toplamı, tespit, ama aynı zamanda (Şekil 3a ve b) benzer gen ekspresyonu imzalar üretmek değil. Ayrıca, T7LA yöntemi ile üretilen tek okudum ve eşleştirilmiş sonuna kütüphaneler hem de araştırmacılar ya da protokol yapılmış kütüphaneler tarafından üretilen verileri karşılaştırmak sağlar (Şekil 3c) birbirlerine çok benzer. Bu kütüphanelerin, insan embriyonik kök hücre RNA hazırlanan bu yana, biz aramakütüphaneleri arasında 30 kök hücre spesifik genler ve bu genlerin hemen hemen tüm (% 93-100), böylece protokolü doğrularken total RNA (Şekil 4) başlayarak en az 10 ng yapılan kütüphaneler tarafından tespit olduğunu bulmak. Biz bizim protokolü akış sıralanmış hücreleri veya başlangıç ​​materyali sınırlayan lazer-mikro-disseke doku gibi durumlarda, özellikle araştırmacılar için çok faydalı olacağını inanıyorum. Bu gibi durumlarda, protokol gen ekspresyonu verileri nesil bizim protokol başlangıç ​​RNA büyüklüğü en az 3 emirleri arasında karşılaştırılabilir ifade profilleri üreten bu yana çok daha büyük bir başlangıç ​​miktarlarda yapılan kütüphaneler karşılaştırılabilir izin verecek.

<table border="1"><tbody><tr><td> Şirket </td><td> Seti / reaktif </td><td> Katalog # </td><td> Eklemek </td></tr><tr><td> Ambion </td><td> Parçalanma reaktif </td><td> AM8740 </td><td></td></tr><tr><td> Ambion </td><td> Kalemi Akrilamid </td><td> AM9520 </td><td></td></tr><tr><td> Ambion </td><td> MEGAscript T7 Kiti </td><td> AM1334 </td><td></td></tr><tr><td> Ambion </td><td> Sigara DEPC nükleaz ücretsiz su tedavi </td><td> AM9932 </td><td></td></tr><tr><td> Fermentas </td><td> dNTP seti </td><td> R0181 </td><td></td></tr><tr><td> Fermentas </td><td> metillenmiş dNTP </td><td> R0431 </td><td> Tek okuyun örnek hazırlık için sadece </td></tr><tr><td> Illumina </td><td> TruSeq SR Küme Nesil kiti v5 </td><td> GD-203-5001 </td><td> Tek okuyun örnek hazırlık için sadece </td></tr><tr><td> Illumina </td><td> TruSeq Seq Kit v5 36 döngüleri </td><td> FC-104-5001 </td><td></td></tr><tr><td> Illumina </td><td> Chip Seq Örnek Hazırlık Seti </td><td> IP-102-1001 </td&gt; <td> Tek okuyun örnek hazırlık için sadece. NEB DNA numune hazırlık Master Mix ile değiştirilebilir Set 1 Kedi # E6040S </td></tr><tr><td> Illumina </td><td> TruSeq PE Küme Nesil kiti v5 </td><td> PE-203-5001 </td><td> Sadece eşleştirilmiş sonunda numune hazırlık için </td></tr><tr><td> Illumina </td><td> Eşleştirilmiş Sona örnek Hazırlık Seti </td><td> PE-102-1001 </td><td> Sadece eşleştirilmiş sonunda numune hazırlık için </td></tr><tr><td> Invitrogen </td><td> 1KB artı merdiven </td><td> 10787-018 </td><td></td></tr><tr><td> Invitrogen </td><td> E. coli Rnase H </td><td> 18021-014 </td><td></td></tr><tr><td> Invitrogen </td><td> Rnase Çıkışı </td><td> 10777-019 </td><td></td></tr><tr><td> Invitrogen </td><td> 2. iplikçik tampon 5x </td><td> 10812-014 </td><td></td></tr><tr><td> Invitrogen </td><td> E. coli DNA polimeraz </td><td> 18010-017 </td><td></td></tr><tr><td> Invitrogen </td><td> E-jel SYBR güvenli% 2 </td><td> G521802 </td><td></td></tr><tr><td> Invitrogen </td><td> Üstsimge III (5X FS tampon ve 0.1M DTT ile) </td><td> 18080-085 </td><td></td></tr><tr><td> Invitrogen </td><td> Trizol </td><td> 12183555 </td><td></td></tr><tr><td> Invitrogen </td><td> RNA quibit tahlil kiti </td><td> Q32852 </td><td></td></tr><tr><td> Invitrogen </td><td> dsDNA HS qubit testi kiti </td><td> Q32851 </td><td></td></tr><tr><td> Invitrogen </td><td> E. coli DNA ligaz </td><td> 18052-019 </td><td></td></tr><tr><td> Invitrogen </td><td> T4 DNA Polimeraz </td><td> 18005-025 </td><td></td></tr><tr><td> Invitrogen </td><td> Ultra Saf Dnase Rnase su </td><td> 10977-015 </td><td></td></tr><tr><td> Invitrogen </td><td> Üstsimge II çift zincirli cDNA sentezi kiti </td><td> 11917-020 </td><td></td></tr><tr><td> Invitrogen </td><td> Rastgele Primer (Invitrogen) </td><td> 48190-011 </td><td> Sadece eşleştirilmiş sonunda numune hazırlık için </td></tr><tr><td> IDT </td><td> Not1Nonamer B astar </td><td> N / A </td><td> Tek kişilik oda için samÖrneğin hazırlık sadece </td></tr><tr><td> IDT </td><td> Oligo dT T7 </td><td> N / A </td><td></td></tr><tr><td> NEB </td><td> Not1 sindirim kiti </td><td> R0189S </td><td> Tek okuyun örnek hazırlık için sadece </td></tr><tr><td> Qiagen </td><td> Rneasy Minelute kiti </td><td> 74204 </td><td></td></tr><tr><td> Qiagen </td><td> RNEasy Mini Kit (50) </td><td> 74104 </td><td></td></tr><tr><td> Qiagen </td><td> Jel saflaştırma kiti </td><td> 28604 </td><td></td></tr><tr><td> Qiagen </td><td> Dnase seti </td><td> 79254 </td><td></td></tr><tr><td> Qiagen </td><td> Rneasy MinElute kiti </td><td> 74204 </td><td></td></tr><tr><td> Zymo Araştırma </td><td> DNA temiz ve konsantratör (250X) </td><td> D4014 </td><td></td></tr></tbody></table>

single read and paired end mrna-seq illumina libraries from 10 nanograms total rna

MRNA Seq ile Tüm transcriptome sıralama artık global gen ekspresyonu, mutasyon, allel spesifik ifadesi ve diğer genom analizleri gerçekleştirmek için yaygın olarak kullanılır. mRNA-Seq bile olmayan sıralı genomların gen ekspresyon analizi için kapı açılır. mRNA-Seq yüksek hassasiyet ve geniş dinamik aralık sunar ve bir örnek transkript kopya numaraları ölçümünü sağlar. Illumina Kullanıcı genom analizörü, bir tek uzun okuma neyin &quot;eşleştirilmiş sonuna&quot; bir yaklaşım, hem de kendi biter sıralı.. Bir büyük nispeten kısa dizisi sayısı (&gt; 10 7) (&lt;150 bp) okur sıralama yapar alternatif ek kavşakları izleme sağlar , eklemeler ve silmeler, ve de novo transcriptome montaj için yararlıdır. Araştırmacılar tarafından karşılaştığı en önemli sorunlardan biri de sınırlı bir miktarda malzeme başlangıç. Örneğin, deneylerde hücreler lazer mikro-diseksiyonu, hasat başlangıç ​​total RNA mnanogram ölçü ay. MRNA Seq kütüphaneler bu tür numunelerin hazırlanması 1, 2 tarif edilmiştir ancak önyargı tanıtmak önemli PCR içerir. Minimal PCR ile RNA Sıra kütüphane yapım prosedürleri, 3, 4 yayınlanmış olmasına rağmen, toplam RNA başlayan mikrogram miktarlarda ihtiyaç var. Burada önemli PCR önler ve total RNA sadece 10 nanogram gerektirir kütüphane hazırlanması için mRNA Seq sıralama için Illumina Genom Analyzer II platformu için bir protokol. Bu protokol tanıtan önemli bir amplifikasyon önyargı olmadan yönlü kütüphaneleri üretmek için gösterilen tek sonunda sıralama 5, daha önce açıklanan ve onaylanmıştır olmasına karşın, biz burada eşleştirilmiş bir protokol olarak kullanmak için daha da doğrulamak. Biz seçici icat &quot;T7, T7 tabanlı Eberwine doğrusal amplifikasyon yöntemi kullanılarak toplam RNA başlayarak polyadenylated haberci RNA&#39;lar yükseltmekLA &quot;(T7 lineer amplifikasyon). Amplifiye poli-A mRNA&#39;ların parçalanmış, transkripsiyonu ve adaptör final sıralama kütüphanesi üretmek için bağlandı tersine her ikisi de tek bir okuma ve eşli sonuna çalışır, diziler insan transcriptome 6 eşleştirilir ve böylece normalize birden çok çalışır verileri mukayese edilebilir. numuneleri 7 karşılaştırırken RPKM üstün bir ölçü, bir milyon kişi başına transkript birimlerinde gen ekspresyonu ölçümü (TPM), rapor .

Watch this Scientific Journal Video about Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA at JoVE.com

Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

Burada T7 lineer RNA amplifikasyon dayalı gen ekspresyon analizi için iki tek okudum ve eşleştirilmiş sonuna Illumina mRNA Seq sıralama kütüphaneler hazırlanması için bir yöntem açıklanmaktadır. Bu protokol, toplam RNA başlayan sadece 10 nanogram gerektirir ve tüm transkript temsil eden son derece tutarlı bir kütüphane oluşturur.

10 nanogram Total RNA tek okuyun ve Eşleştirilmiş Sona mRNA-Seq Illumina Kütüphaneler

Whole transcriptome sequencing by mRNA-Seq is now used extensively to perform global gene expression, mutation, allele-specific expression and other ...

single-read-paired-end-mrna-seq-illumina-libraries-from-10-nanograms

Research

JoVE Journal

Biology

39.1K Görüntüleme.  Morgridge Institute for Research. Burada T7 lineer RNA amplifikasyon dayalı gen ekspresyon analizi için iki tek okudum ve eşleştirilmiş sonuna Illumina mRNA Seq sıralama kütüphaneler hazırlanması için bir yöntem açıklanmaktadır. Bu protokol, toplam RNA başlayan sadece 10 nanogram gerektirir ve tüm transkript temsil eden son derece tutarlı bir kütüphane oluşturur.

Video: Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Upon activation, cells rapidly change their functional programs and, thereby, their gene expression profile. Massive changes in gene expression occur, for example, during cellular differentiation, morphogenesis, and functional stimulation (such as activation of immune cells), or after exposure to drugs and other factors from the local environment. Depending on the stimulus and cell type, these changes occur rapidly and at any possible level of gene regulation. Displaying all molecular processes of a responding cell to a certain type of stimulus/drug is one of the hardest tasks in molecular biology. Here, we describe a protocol that enables the simultaneous analysis of multiple layers of gene regulation. We compare, in particular, transcription factor binding (Chromatin-immunoprecipitation-sequencing (ChIP-seq)), de novo transcription (4-thiouridine-sequencing (4sU-seq)), mRNA processing, and turnover as well as translation (ribosome profiling). By combining these methods, it is possible to display a detailed and genome-wide course of action.
Sequencing newly transcribed RNA is especially recommended when analyzing rapidly adapting or changing systems, since this depicts the transcriptional activity of all genes during the time of 4sU exposure (irrespective of whether they are up- or downregulated). The combinatorial use of total RNA-seq and ribosome profiling additionally allows the calculation of RNA turnover and translation rates. Bioinformatic analysis of high-throughput sequencing results allows for many means for analysis and interpretation of the data. The generated data also enables tracking co-transcriptional and alternative splicing, just to mention a few possible outcomes.
The combined approach described here can be applied for different model organisms or cell types, including primary cells. Furthermore, we provide detailed protocols for each method used, including quality controls, and discuss potential problems and pitfalls.

This protocol describes the combinatorial use of ChIP-seq, 4sU-seq, total RNA-seq, and ribosome profiling for cell lines and primary cells. It enables tracking changes in transcription-factor binding, de novo transcription, RNA processing, turnover and translation over time, and displaying the overall course of events in activated and/or rapidly changing cells.

Gerçek zamanlı analiz bağlama, transkripsiyon, çeviri ve ciro hücresel etkinleştirme sırasında küresel olayları görüntülemek üzere transkripsiyon faktörü

Upon activation, cells rapidly change their functional programs and, thereby, their gene expression profile. Massive changes in gene expression occur, for ...

Genetik

Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells

Extracellular and circulating RNAs (exRNA) are produced by many cell types of the body and exist in numerous bodily fluids such as saliva, plasma, serum, milk and urine. One subset of these RNAs are the posttranscriptional regulators &#8211; microRNAs (miRNAs). To delineate the miRNAs produced by specific cell types, in vitro culture systems can be used to harvest and profile exRNAs derived from one subset of cells. The secreted factors of mesenchymal stem cells are implicated in alleviating numerous diseases and is used as the in vitro model system here. This paper describes the process of collection, purification of small RNA and library generation to sequence extracellular miRNAs. ExRNAs from culture media differ from cellular RNA by being low RNA input samples, which calls for optimized procedures. This protocol provides a comprehensive guide to small exRNA sequencing from culture media, showing quality control checkpoints at each step during exRNA purification and sequencing.

This protocol demonstrates how to purify extracellular microRNAs from cell culture media for small RNA library construction and next generation sequencing. Various quality control checkpoints are described to allow readers to understand what to expect when working with low input samples like exRNAs.

İzole, sıralama ve insan Mezenkimal Kök hücreleri ekstrasellüler mikroRNA'lar analiz

Extracellular and circulating RNAs (exRNA) are produced by many cell types of the body and exist in numerous bodily fluids such as saliva, plasma, serum, ...

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

Half of all human transcripts are thought to be regulated by microRNAs. Therefore, quantifying microRNA expression can reveal underlying mechanisms in disease states and provide therapeutic targets and biomarkers. Here, we detail how to accurately quantify microRNAs. Briefly, this method describes isolating microRNAs, ligating them to adaptors suitable for high-throughput sequencing, amplifying the final products, and preparing a sample library. Then, we explain how to align the obtained sequencing reads to microRNA hairpins, and quantify, normalize, and calculate their differential expression. Versatile and robust, this combined experimental workflow and bioinformatic analysis enables users to begin with tissue extraction and finish with microRNA quantification.

Here, we describe a step-by-step strategy for isolating small RNAs, enriching for microRNAs, and preparing samples for high-throughput sequencing. We then describe how to process sequence reads and align them to microRNAs, using open source tools.

MikroRNA'ları Yalıtmak ve Sıralamak ve Açık Kaynak Araçlarını Kullanarak Analiz Etmek Için Komple Bir Boru Hattı

Half of all human transcripts are thought to be regulated by microRNAs. Therefore, quantifying microRNA expression can reveal underlying mechanisms in ...

Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs

The study of small RNAs (sRNAs) by next-generation sequencing (NGS) is challenged by bias issues during library preparation. Several types of sRNA such as plant microRNAs (miRNAs) carry a 2&#39;-O-methyl (2&#39;-OMe) modification at their 3&#39;&#160;terminal nucleotide. This modification adds another difficulty as it inhibits 3&#39;&#160;adapter ligation. We previously demonstrated that modified versions of the &#39;TruSeq (TS)&#39;&#160;protocol have less bias and an improved detection of 2&#39;-OMe RNAs. Here we describe in detail protocol &#39;TS5&#39;, which showed the best overall performance. TS5 can be followed either using homemade reagents or reagents from the TS kit, with equal performance.

We present a detailed small RNA library reparation protocol with less bias than standard methods and an increased sensitivity for 2&#39;-O-methyl RNAs. This protocol can be followed using homemade reagents to save cost or using kits for convenience.

Küçük RNA-seq iyileştirilmesi: Daha Az Önyargı ve 2'-O-Metil RNA'ların Daha İyi Tespiti

The study of small RNAs (sRNAs) by next-generation sequencing (NGS) is challenged by bias issues during library preparation. Several types of sRNA such as ...

AQRNA-seq Kullanarak tRNA Dinamiklerini Analiz Etme

AQRNA-seq for Quantifying Small RNAs

AQRNA-seq provides a direct linear relationship between sequencing read counts and small RNA copy numbers in a biological sample, thus enabling accurate quantification of the pool of small RNAs. The AQRNA-seq library preparation procedure described here involves the use of custom-designed sequencing linkers and a step for reducing methylation RNA modifications that block reverse transcription processivity, which results in an increased yield of full-length cDNAs. In addition, a detailed implementation of the accompanying bioinformatics pipeline is presented. This demonstration of AQRNA-seq was conducted through a quantitative analysis of the 45 tRNAs in Mycobacterium bovis BCG harvested on 5 selected days across a 20-day time course of nutrient deprivation and 6 days of resuscitation. Ongoing efforts to improve the efficiency and rigor of AQRNA-seq will also be discussed here. This includes exploring methods to obviate gel purification for mitigating primer dimer issues after PCR amplification and to increase the proportion of full-length reads to enable more accurate read mapping. Future enhancements to AQRNA-seq will be focused on facilitating automation and high-throughput implementation of this technology for quantifying all small RNA species in cell and tissue samples from diverse organisms.

Yazar Spotlight: Küçük RNA'ların Haritalanmasında ve Protein Translasyon Mekanizmalarının Çözülmesinde AQRNA-seq Rolü

Absolute quantification RNA sequencing (AQRNA-seq) is a technology developed to quantify the landscape of all small RNAs in biological mixtures. Here, both the library preparation and data processing steps of AQRNA-seq are demonstrated, quantifying changes in the transfer RNA (tRNA) pool in Mycobacterium bovis BCG during starvation-induced dormancy.

Küçük RNA'ları Ölçmek için AQRNA-seq

AQRNA-seq provides a direct linear relationship between sequencing read counts and small RNA copy numbers in a biological sample, thus enabling accurate ...

RIBO-seq in Bacteria: a Sample Collection and Library Preparation Protocol for NGS Sequencing

The ribosome profiling technique (RIBO-seq) is currently the most effective tool for studying the process of protein synthesis in vivo. The advantage of this method, in comparison to other approaches, is its ability to monitor translation by precisely mapping the position and number of ribosomes on a mRNA transcript.
In this article, we describe the consecutive stages of sample collection and preparation for RIBO-seq method in bacteria, highlighting the details relevant to the planning and execution of the experiment.
Since the RIBO-seq relies on intact ribosomes and related mRNAs, the key step is rapid inhibition of translation and adequate disintegration of cells. Thus, we suggest filtration and flash-freezing in liquid nitrogen for cell harvesting with an optional pretreatment with chloramphenicol to arrest translation in bacteria. For the disintegration, we propose grinding frozen cells with mortar and pestle in the presence of aluminum oxide to mechanically disrupt the cell wall. In this protocol, sucrose cushion or a sucrose gradient ultracentrifugation for monosome purification is not required. Instead, mRNA separation using polyacrylamide gel electrophoresis (PAGE) followed by the ribosomal footprint excision (28-30 nt band) is applied and provides satisfactory results. This largely simplifies the method as well as reduces the time and equipment requirements for the procedure. For library preparation, we recommend using the commercially available small RNA kit for Illumina sequencing from New England Biolabs, following manufacturer&#39;s guidelines with some degree of optimization.
The resulting cDNA libraries present appropriate quantity and quality required for next generation sequencing (NGS). Sequencing of the libraries prepared according to the described protocol results in 2 to 10 mln uniquely mapped reads per sample providing sufficient data for comprehensive bioinformatic analysis. The protocol we present is quick and relatively easy and can be performed with standard laboratory equipment.

Here we describe the stages of sample collection and preparation for RIBO-seq in bacteria. Sequencing of the libraries prepared according to these guidelines results in sufficient data for comprehensive bioinformatic analysis. The protocol we present is simple, uses standard laboratory equipment and takes seven days from lysis to obtaining libraries.

Bakterilerde RIBO-seq: NGS Dizilimi için Örnek Toplama ve Kütüphane Hazırlama Protokolü

The ribosome profiling technique (RIBO-seq) is currently the most effective tool for studying the process of protein synthesis in vivo. The advantage of ...

Biyokimya

Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos

MicroRNAs (miRNAs) are important for the complex regulation of cell fate decisions and developmental timing. In vivo studies of the contribution of miRNAs during early development are technically challenging due to the limiting cell number. Moreover, many approaches require a miRNA of interest to be defined in assays such as northern blotting, microarray, and qPCR. Therefore, the expression of many miRNAs and their isoforms have not been studied during early development. Here, we demonstrate a protocol for small RNA sequencing of sorted cells from early mouse embryos to enable relatively unbiased profiling of miRNAs in early populations of neural crest cells. We overcome the challenges of low cell input and size selection during library preparation using amplification and gel-based purification. We identify embryonic age as a variable accounting for variation between replicates and stage-matched mouse embryos must be used to accurately profile miRNAs in biological replicates. Our results suggest that this method can be broadly applied to profile the expression of miRNAs from other lineages of cells. In summary, this protocol can be used to study how miRNAs regulate developmental programs in different cell lineages of the early mouse embryo.

We describe a technique for profiling microRNAs in early mouse embryos. This protocol overcomes the challenge of low cell input and small RNA enrichment. This assay can be used to analyze changes in miRNA expression over time in different cell lineages of the early mouse embryo.

Erken Fare Embriyolarından Sıralama için Küçük RNA Kütüphanelerinin Hazırlanması

MicroRNAs (miRNAs) are important for the complex regulation of cell fate decisions and developmental timing. In vivo studies of the contribution of miRNAs ...

Gelişim Biyolojisi

Highly Efficient Ligation of Small RNA Molecules for MicroRNA Quantitation by High-Throughput Sequencing

MiRNA cloning and high-throughput sequencing, termed miR-Seq, stands alone as a transcriptome-wide approach to quantify miRNAs with single nucleotide resolution. This technique captures miRNAs by attaching 3&#8217; and 5&#8217; oligonucleotide adapters to miRNA molecules and allows de novo miRNA discovery. Coupling with powerful next-generation sequencing platforms, miR-Seq has been instrumental in the study of miRNA biology. However, significant biases introduced by oligonucleotide ligation steps have prevented miR-Seq from being employed as an accurate quantitation tool. Previous studies demonstrate that biases in current miR-Seq methods often lead to inaccurate miRNA quantification with errors up to 1,000-fold for some miRNAs1,2. To resolve these biases imparted by RNA ligation, we have developed a small RNA ligation method that results in ligation efficiencies of over 95% for both 3&#8217; and 5&#8242; ligation steps. Benchmarking this improved library construction method using equimolar or differentially mixed synthetic miRNAs, consistently yields reads numbers with less than two-fold deviation from the expected value. Furthermore, this high-efficiency miR-Seq method permits accurate genome-wide miRNA profiling from in vivo total RNA samples2.

MicroRNAs (miRNAs) are a widely conserved class of regulatory molecules. Here we describe a miRNA cloning method that relies upon two potent ligation steps followed by high-throughput sequencing. Our method permits accurate genome-wide quantitation of miRNAs.

Yüksek Verim Dizilimine tarafından MicroRNA ölçümü için Küçük RNA molekülleri, yüksek Verimli ligasyonu

MiRNA cloning and high-throughput sequencing, termed miR-Seq, stands alone as a transcriptome-wide approach to quantify miRNAs with single nucleotide ...

10 nanogram Total RNA tek okuyun ve Eşleştirilmiş Sona mRNA-Seq Illumina Kütüphaneler

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Yüksek Verim Dizilimine tarafından MicroRNA ölçümü için Küçük RNA molekülleri, yüksek Verimli ligasyonu