Summary

РНК-след Анализ Transcriptomes в тромбин обращению и контролю человека легочной микрососудистой эндотелиальных клеток

Published: February 13, 2013
doi:

Summary

Этот протокол представляет собой полный и подробный порядок применения РНК-след, мощный следующего поколения секвенирования ДНК технологии, профиль transcriptomes в человеческой легочной микрососудистых эндотелиальных клеток с лечением или без тромбина. Этот протокол является обобщением различных клеток или тканей под влиянием различных реагентов или болезненных состояний.

Abstract

The characterization of gene expression in cells via measurement of mRNA levels is a useful tool in determining how the transcriptional machinery of the cell is affected by external signals (e.g. drug treatment), or how cells differ between a healthy state and a diseased state. With the advent and continuous refinement of next-generation DNA sequencing technology, RNA-sequencing (RNA-seq) has become an increasingly popular method of transcriptome analysis to catalog all species of transcripts, to determine the transcriptional structure of all expressed genes and to quantify the changing expression levels of the total set of transcripts in a given cell, tissue or organism1,2 . RNA-seq is gradually replacing DNA microarrays as a preferred method for transcriptome analysis because it has the advantages of profiling a complete transcriptome, providing a digital type datum (copy number of any transcript) and not relying on any known genomic sequence3.

Here, we present a complete and detailed protocol to apply RNA-seq to profile transcriptomes in human pulmonary microvascular endothelial cells with or without thrombin treatment. This protocol is based on our recent published study entitled “RNA-seq Reveals Novel Transcriptome of Genes and Their Isoforms in Human Pulmonary Microvascular Endothelial Cells Treated with Thrombin,”4 in which we successfully performed the first complete transcriptome analysis of human pulmonary microvascular endothelial cells treated with thrombin using RNA-seq. It yielded unprecedented resources for further experimentation to gain insights into molecular mechanisms underlying thrombin-mediated endothelial dysfunction in the pathogenesis of inflammatory conditions, cancer, diabetes, and coronary heart disease, and provides potential new leads for therapeutic targets to those diseases.

The descriptive text of this protocol is divided into four parts. The first part describes the treatment of human pulmonary microvascular endothelial cells with thrombin and RNA isolation, quality analysis and quantification. The second part describes library construction and sequencing. The third part describes the data analysis. The fourth part describes an RT-PCR validation assay. Representative results of several key steps are displayed. Useful tips or precautions to boost success in key steps are provided in the Discussion section. Although this protocol uses human pulmonary microvascular endothelial cells treated with thrombin, it can be generalized to profile transcriptomes in both mammalian and non-mammalian cells and in tissues treated with different stimuli or inhibitors, or to compare transcriptomes in cells or tissues between a healthy state and a disease state.

Protocol

Блок-схема изложением этот протокол отображается на рисунке 1. 1. Обработка клеток тромбина, РНК изоляции, оценке качества и количественной оценки РНК Культура легких микрососудистой эндотелиальных клеток (HMVEC-LBL) до 90-100% слияния в 6-луночные планшеты в EGM-2…

Representative Results

Для Шаг 1: 28s: 18 лет соотношение традиционно используется как показатель деградации РНК. В идеале, 28s пика должны быть примерно в два раза площадь 18 лет группе (соотношение 2), однако это идеальное соотношение часто не видел на практике. Кроме того, 28s: 18 лет соотношение получается и…

Discussion

Ключевые шаги

РНК-разгрузочные работы: РНКаз будет деградировать даже самого высокого качества РНК, поэтому необходимо соблюдать осторожность во время выделения, хранения и использования РНК-10. Перчатки всегда носили, чтобы предотвратить загрязнение РНК?…

Divulgazioni

The authors have nothing to disclose.

Acknowledgements

Авторы хотели бы поблагодарить д-р Стивен Kingsmore и детской Центра медицины генома в Детской милосердия Больницы и клиники для использования их вычислительных кластеров для анализа данных, поле Illumina служба команды (Elizabeth Бойер, Скотт Кук и Марк Кук) и технические Консультант команды для их быстрого реагирования и полезные советы на функционирование нового поколения секвенирования ДНК инструмент, HiScanSQ, а также данные анализа качества. Эта работа была выполнена при частичной поддержке Национального института здоровья Грант HL080042 (для SQY) и пуско-наладочные фонд и фонд детского милосердия Больницы и клиники Университета Миссури в Канзас-Сити (в SQY).

Materials

Reagents or Equipments Company Catalog number Comments
Human Lung Microvascular Endothelial Cells Lonza CC-2815
Lonza, Bullet Kit Lonza CC-3202 Contains EGM-2, FBS, growth factors and antibiotics
Thrombin Sigma T4393
Ambion mirVana Kit Life Technologies AM 1560
RNase-Zap Life Technologies AM9782
Experion StdSens RNA Bio-Rad 700-7103
TruSeq RNA Preparation Kit Illumina FC-122-1001
AMPureXP Beads Beckman Coulter A63881
Superscript Reverse Transcriptase II Life Technologies 18064-014
Experion DNA 1K Bio-Rad 700-7107
QuantiTect SyberGreen Qiagen 204163
PE Cluster Generation Kit Illumina PE-401-3001
PhiX Control Kit Illumina FC110-301
200 Cycle SBS Kit Illumina FC-401-3001
HiScanSQ* Illumina SY-103-2001
cBot Illumina SY-301-2002
qPCR machine – Viia7 Life Technologies Model #VIIA7 / Equipment #10631261 Or equivalent
Experion System Bio Rad 7007001 Bioanalyzer is an alternative system
Spectrophotometer Bio-Tek Epoch Microplate Spectrophotometer Or equivalent
Centrifuge – Sorvall Legend XTR Thermo Scientific 75004521 Or equivalent
Magnetic stand Life Technologies AM10027
96-well thermocycler General Lab Supplier
Table 3. List of Key Reagents and Major Equipment. *, In the video, HiSeq1000 instead of HiScanSQ was demonstrated.

Riferimenti

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Citazione di questo articolo
Cheranova, D., Gibson, M., Chaudhary, S., Zhang, L. Q., Heruth, D. P., Grigoryev, D. N., Qing Ye, S. RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells. J. Vis. Exp. (72), e4393, doi:10.3791/4393 (2013).

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