Method Article

RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells

DOI:

10.3791/4393

February 13th, 2013

In This Article

Summary

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This protocol presents a complete and detailed procedure to apply RNA-seq, a powerful next-generation DNA sequencing technology, to profile transcriptomes in human pulmonary microvascular endothelial cells with or without thrombin treatment. This protocol is generalizable to various cells or tissues affected by different reagents or disease states.

Abstract

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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

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A flowchart outlining this protocol is displayed in Figure 1.

1. Treatment of Cells with Thrombin, RNA Isolation, Quality Assessment and Quantification of RNA

  1. Culture Human Lung Microvascular Endothelial Cells (HMVEC-LBl) to 90-100% confluence in 6-well plates in EGM-2 medium with 5% FBS, growth factors and antibiotics (Lonza, cat# CC-3202).
  2. Change media to the starvation media (0% FBS) 30 min prior to treatment with thrombin.
  3. Treat the cells with 0.05 U/ml thrombin or leave untreated as a control for 6 hr at 37 °C and 5% CO2.
  4. Isolate total RNA from the treated and contr....

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Results

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For Step 1: The 28s:18s ratio is traditionally used as an indicator of RNA degradation. Ideally, the 28s peak should have approximately twice the area of the 18s band (a ratio of 2), however this ideal ratio is often not seen in practice. Furthermore, 28s:18s ratios obtained from spectrophotometric methods can underestimate the amount of degradation of the RNA. To more accurately quantify the degradation, and therefore the quality of the RNA sample, the Experion system calculates an RNA Quality I.......

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Discussion

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Key steps

RNA Handling: RNases will degrade even the most high-quality RNA, therefore care must be taken during the isolation, storage and use of RNA10. Gloves are always worn to prevent contamination by RNases found on human hands. Gloves should be changed often, particularly after touching skin, doorknobs or other common surfaces. A set of pipettes should be dedicated solely to RNA work and all tips and tubes should be RNase-free. RNA isolation and downstream applica.......

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Disclosures

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No conflicts of interest declared.

Acknowledgements

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The authors would like to thank Dr. Stephen Kingsmore and the Pediatric Genome Medicine Center at Children's Mercy Hospitals and Clinics for the use of their computing clusters for our data analysis, Illumina's field service team (Elizabeth Boyer, Scott Cook and Mark Cook) and technical consultant team for their quick responses and helpful suggestions on the running of the next generation DNA sequencing instrument, HiScanSQ, and data quality analysis. This work was supported in part by National Institutes of Health Grant HL080042 (to S.Q.Y.) and start-up fund and endowment of Children's Mercy Hospitals and Clinics, University of Missouri at Kansas City (to S.Q.Y.).

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Human Lung Microvascular Endothelial CellsLonzaCC-2815
Lonza, Bullet KitLonzaCC-3202Contains EGM-2, FBS, growth factors and antibiotics
ThrombinSigmaT4393
Ambion mirVana KitLife TechnologiesAM 1560
RNase-ZapLife TechnologiesAM9782
Experion StdSens RNABio-Rad700-7103
TruSeq RNA Preparation KitIlluminaFC-122-1001
AMPureXP BeadsBeckman CoulterA63881
Superscript Reverse Transcriptase IILife Technologies18064-014
Experion DNA 1KBio-Rad700-7107
QuantiTect SyberGreenQiagen204163
PE Cluster Generation KitIlluminaPE-401-3001
PhiX Control KitIlluminaFC110-301
200 Cycle SBS KitIlluminaFC-401-3001
HiScanSQ* IlluminaSY-103-2001
cBotIlluminaSY-301-2002
qPCR machine - Viia7Life TechnologiesModel #VIIA7 / Equipment #10631261Or equivalent
Experion System Bio Rad7007001Bioanalyzer is an alternative system
Spectrophotometer Bio-TekEpoch Microplate SpectrophotometerOr equivalent
Centrifuge - Sorvall Legend XTR Thermo Scientific75004521Or equivalent
Magnetic standLife TechnologiesAM10027
96-well thermocyclerGeneral Lab Supplier
Table 3. List of Key Reagents and Major Equipment. *, In the video, HiSeq1000 instead of HiScanSQ was demonstrated.

References

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  1. Wang, Z., Gerstein, M., Snyder, M. RNA-Seq: a revolutionary tool for transcriptomics. Nat. Rev. Genet. 10, 57-63 (2009).
  2. Shendure, J., Ji, H. Next-generation DNA sequencing. Nat. Biotechnol. 26, 1135-1145 (2008).
  3. Marioni, J. C., Mason, C. E., Mane, S. M., Stephens, M., Gilad, Y.

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Tags

RNA seq AnalysisTranscriptome ProfilingThrombin TreatmentHuman Pulmonary Microvascular Endothelial CellsRNA IsolationLibrary ConstructionData AnalysisRT PCR ValidationHighSeq 1000Cuffdiff Analysis

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