Summary

预测与基因调控元件的验证激活过程中维甲酸诱导胚胎干细胞分化

Published: June 21, 2016
doi:

Summary

In this work we provide an experimental workflow of how active enhancers can be identified and experimentally validated.

Abstract

胚胎发育是涉及到许多基因的激活和镇压一个多步骤的过程。在基因组中的增强子元件是公知的细胞分化过程中以促进基因表达的组织和细胞类型特异性调节。因此,他们的鉴定和进一步调查,以了解细胞的命运是如何决定的重要。基因表达数据( 例如,微阵列或RNA-SEQ)和染色质免疫沉淀(ChIP)为基础的全基因组研究(芯片起)结果的整合使得这些调控区域大规模鉴定。然而,细胞类型特异性增强剂的功能验证进一步要求体外体内实验程序。在这里,我们描述了活性增强剂如何可以识别和实验验证。通过芯片起数据分析,2)克隆和EXPER 1)鉴定调节区:此协议提供了一步一步的工作流程,其包括在报道实验所识别的基因组序列的推定的调节潜力imental验证,和3)测定增强子活性的体内通过测量增强RNA转录水平。所提出的协议是不够详细,帮助任何人设立这个工作流程中的实验室。重要的是,该协议可以很容易地适应,并在任何细胞模型系统中使用。

Introduction

Development of a multicellular organism requires precisely regulated expression of thousands of genes across developing tissues. Regulation of gene expression is accomplished in large part by enhancers. Enhancers are short non-coding DNA elements that can be bound with transcription factors (TFs) and act from a distance to activate transcription of a target gene1. Enhancers are generally cis-acting and most frequently found just upstream of the transcription start site (TSS), but recent studies also described examples where enhancers were found much further upstream, on the 3′ of the gene or even within the introns and exons2.

There are hundreds of thousands of potential enhancers in the vertebrate genomes1. Recent methods based on chromatin immunoprecipitation (ChIP) provide high-throughput data of the whole genome that can be used for enhancer analysis3-9. Though data obtained by ChIP-seq experiments greatly increases the likelihood to identify cell and tissue-specific enhancers, it is important to keep in mind that detected binding sites do not necessarily identify direct DNA binding and/or functional enhancers. Thus, further functional analysis of newly identified enhancers is indispensable. In this work, we present a basic three-step process of putative active enhancer identification and validation. This includes: 1) selection of putative transcription factor binding sites by bioinformatics analysis of ChIP-seq data, 2) cloning and validation of these regulatory sequences in reporter constructs, and 3) measurement of enhancer RNA (eRNA).

Exposure of embryonic stem (ES) cells to retinoic acid (RA) is frequently used to promote neural differentiation of the pluripotent cells 10. RA exerts its effects by binding to RA receptors (RARα, β, γ) and retinoid X receptors (RXRα, β, γ). RARs and RXRs in a form of heterodimer bind to DNA motifs called RA-response elements, that is typically arranged as direct repeats of AGGTCA sequence (called as half site) and regulate transcription. Ligand-treatment experiments allowed the identification of several retinoic acid regulated genes in ES cells 11,12. However, enhancer elements for many of these genes has not been described yet. To demonstrate how the here-described workflow can be used for enhancer identification and validation we show step-by-step the selection and characterization of two retinoic acid-dependent enhancers in embryonic stem cells.

Protocol

1.基于芯片序列分析选择增强从http://ngsdebftp.med.unideb.hu/bioinformatics/下载RXR芯片起原始数据FASTQ文件(mm_ES_RXR_24h_ATRA.fastq.gz) 下载并提取对准所需的BWA索引文件(在我们的例子: Mus_musculus_UCSC_mm10).(ftp://igenome:G3nom3s4u@ussd-ftp.illumina.com/Mus_musculus/UCSC/mm10/Mus_musculus_UCSC_mm10.tar.gz 注:关于生物信息学分析的步骤参观https://github.com/ahorvath/Bioinformatics_scripts获取更多信息,并下载下面使用的?…

Representative Results

我们使用了泛特异性RXR抗体以鉴定的全基因组其类风湿性关节炎调节基因在它们的靠近受体富集。从用视黄酸处理的ES细胞获得RXR芯片起数据的生物信息学分析揭示了核受体半位点(AGGTCA)下的RXR占用位点( 图1)的富集。使用生物信息学算法我们映射回的基序,检索结果为半位点的RXR芯片起数据( 图2)。这种分析有助于我们准确地识别,用规范…

Discussion

In recent years, advances in sequencing technology have allowed large-scale predictions of enhancers in many cell types and tissues 7-9. The workflow described above allows one to perform primary characterization of candidate enhancers chosen based on ChIP-seq data. The detailed steps and notes will help anyone to set up a routine enhancer validation in the lab.

The most critical step in the luciferase reporter assay is the transfection efficiency. It is recommended to include a GFP…

Disclosures

The authors have nothing to disclose.

Acknowledgements

The authors would like to acknowledge Dr. Bence Daniel, Matt Peloquin, Dr. Endre Barta, Dr. Balint L Balint and members of the Nagy laboratory for discussions and comments on the manuscript. L.N is supported by grants from the Hungarian Scientific Research Fund (OTKA K100196 and K111941) and co-financed by the European Social Fund and the European Regional Development Fund and Hungarian Brain Research Program – Grant No. KTIA_13_NAP-A-I/9.

Materials

KOD DNA polymerase Merck Millipore 71085-3 for PCR amplification of enhancer from gDNA
DNeasy Blood & Tissue kit  Qiagen 69504 for genomic DNA isolation
QIAquick PCR Purification kit Qiagen 28106 for PCR product purification
Gel extraction kit  Qiagen 28706 for gel extraction if there are more PCR product
HindIII NEB R3104L restriction enzyme
BamHI NEB R3136L restriction enzyme
FastAP Thermo Scientific EF0651 release of 5'- and 3'-phosphate groups from DNA
T4 DNA ligase NEB M0202 for ligation
QIAprep Spin Miniprep kit Qiagen 27106 for plasmid isolation
DMEM Gibco 31966-021 ES media
FBS Hyclone SH30070.03 ES media
MEM Non-Essential Amino Acid Sigma M7145 ES media
Penicillin-Streptomycin Sigma P4333 ES media
Beta Mercaptoethanol Sigma M6250 ES media
FuGENE HD  Promega E2311 transfection reagent
Opti-MEM® I Reduced Serum Medium Life Technologies 31985-062 for transfection
All-trans retinoic acid Sigma R2625 ligand, for activation of RAR/RXR
96-well clear plate Greiner 655101 for Beta galactosidase assay
96-well white plate Greiner 655075 for Luciferase assay
D-luciferin, potassium salt Goldbio.com 115144-35-9 for Luciferase assay
ATP salt Sigma A7699-1G for Luciferase assay
MgSO4x 7H2O Sigma 230391-25G for Luciferase assay
HEPES Sigma H3375-25G for Luciferase assay
Na2HPO4 x 7H2O Sigma 431478-50G for Beta galactosidase assay
NaH2PO4 x H2O Sigma S9638-25G for Beta galactosidase assay
MgSO4 x 7H2O Sigma 230391-25G for Beta galactosidase assay
KCl Sigma P9541-500G for Beta galactosidase assay
ONPG (o-nitrophenyl-β-D-galactosidase) Sigma N1127-1G for Beta galactosidase assay
TRIzol® Life Technologies 15596-026 RNA isolation
High-Capacity cDNA Reverse Transcription Kit Life Technologies 4368814 reverse transcription of eRNA
Rnase-free Dnase Promega M6101 Dnase treatment
SsoFast Eva Green BioRad 750000105 RT-qPCR mastermix
CFX384 Touch™ Real-Time PCR Detection System BioRad qPCR machine
BioTek Synergy 4 microplate reader BioTek luminescent counter

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Cite This Article
Simandi, Z., Horvath, A., Nagy, P., Nagy, L. Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation. J. Vis. Exp. (112), e53978, doi:10.3791/53978 (2016).

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