We thank Dr. Bas van Steensel for providing the DamID mammalian expression vectors. We thank Yale Center for Genome Analysis and the Genomics Core in Yale Stem Cell Center for advice on preparing NGS libraries and implementing high throughput DNA sequencing. This work was supported by the startup funding from Yale School of Medicine, a Scientist Development Grant from American Heart Association (12SDG11630031) and a Seed Grant from Connecticut Innovations, Inc. (13-SCA-YALE-15).

<ol>
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The authors have nothing to disclose.

Whether Dam-tagged proteins retain the functions of endogenous proteins should be examined before a DamID-seq experiment. The subcellular localization of Dam-tagged nuclear envelope proteins should always be determined and compared with that of the endogenous proteins. For studying transcription factors, it is suggested to examine whether the Dam-fusion protein can rescue the functions of the endogenous protein in regulating gene expression. This functional test can be performed in organisms in which knockout mutants of ...

아데닌 DNA 메틸화 식별 (DamID) -1,2-는 생체 내에서 DNA 단백질 상호 작용을 검출하는 방법이며 염색질 면역 (칩) 3로 대체 방법이다. 그것은 세포의 상대적으로 적은 양을 사용하고, DNA 또는 고도로 특이 항체와 단백질의 화학적 가교 결합을 필요로하지 않는다. 표적 단백질은 DNA 느슨하게 또는 간접적으로 연결된 경우 후자는 특히 유용하다. DamID 성공적 핵막 단백질 4-10, 11-13 염색질 관련 단백질, 염색질 변형 효소 14, 전사 인자 및 15-18 공동 인자와의 RNAi 기계 (19)를 포함하는 단백질의 다양한 결합 부위를 매핑하는데 사용되어왔다. 이 방법은 S. 등 다양한 유기체에서 적용 할 수있다 cerevisiae의 13, S. pombe 7, C. 엘레 9,17, D. melanogaster의 5,11,18,20, A. (21, 22)뿐만 아니라 마우스와 인간의 세포 라인 6,8,10,23,24 장대. DamID 분석법의 개발은 내인성 아데닌 2 메틸화 결여 진핵 세포에서 아데닌 메틸화 DNA 단편의 특정 검출에 기초 하였다. 관심 E.의 DNA 결합 단백질로 이루어진 융합 단백질을 발현, 콜라이 DNA 메틸화 된 아데닌 (DAM)은 공간적 인접 (가장 크게 1킬로바이트 내의 최대 약 5킬로바이트까지)이다 게놈 2 단백질의 결합 부위에 GATC 서열의 아데닌 염기를 메틸화 할 수있다. 개질 된 DNA 단편은 특별히 관심 1,25,26의 단백질의 유전자 결합 부위를 검출하는 마이크로 어레이 혼성화 및 증폭 될 수있다. 이것은 원래 DamID 방법은 마이크로 어레이의 프로브 가용성 및 소정의 밀도에 의해 제한되었다. 따라서 우리는 높은 처리량 시퀀싱을 통합 한DamID 10이고 DamID-SEQ와 같은 방법을 지정. 짧은의 많은 수의 DamID-SEQ에서 생성 된 읽기 게놈 전체 단백질 DNA 상호 작용의 정확한 위치 파악을 할 수 있습니다. 우리는 DamID-서열이 게놈 핵 라미 (NL) 협회 (10) 유학을위한 마이크로 어레이에 의해 DamID보다 높은 해상도와 넓은 동적 범위를 한 것으로 나타났습니다. 이 개선 된 방법은 유전자 구조 (10) 내에 연관 NL 프로빙 수 있으며 이러한 칩 서열 및 RNA-SEQ 다른 높은 처리량 시퀀싱 데이터와의 비교를 용이하게한다. 여기에 설명 된 DamID-SEQ 프로토콜은 초기에 매핑 게놈 NL 협회 (10)을 위해 개발되었다. 우리는 E.에 마우스 또는 인간 라민의 B1을 테 더링하여 융합 단백질을 생성 대장균의 DNA 메틸화 된 아데닌과 C2C12 마우스 (데이터가 공개되지 않음) (10)과 IMR90 인간의 태아 폐 섬유 아 세포를 근육 모세포, 3T3 마우스 배아 섬유 아세포에서 프로토콜을 테스트했다. 이 프로토콜에서는, 우리는 C로 시작벡터 및 포유류 세포 onstructing 24 렌티 바이러스 감염에 의한 댐 연결형 융합 단백질을 발현. 다음으로, 우리는 아데닌 메틸화 DNA 단편을 증폭하고 다른 생물에 적용되어야 서열 라이브러리의 제조 상세한 프로토콜을 설명한다.

<table><tbody><tr><td>ViraPower Lentiviral Expression Systems</td><td>Life Technologies</td><td>K4950-00, K4960-00, K4970-00, K4975-00, K4980-00, K4985-00, K4990-00, K367-20, K370-20, and K371-20</td><td></td></tr><tr><td>Gateway BP Clonase II Enzyme Mix</td><td>Life Technologies</td><td>11789-020</td><td></td></tr><tr><td>Gateway LR Clonase II Enzyme Mix</td><td>Life Technologies</td><td>11791-020</td><td></td></tr><tr><td>DNeasy Blood &amp;amp; Tissue Kit (250)</td><td>QIAGEN</td><td>69506 or 69504&amp;nbsp;&amp;nbsp;</td><td></td></tr><tr><td>Gateway pDONR 201</td><td>Life Technologies</td><td>11798-014</td><td></td></tr><tr><td>293T cells</td><td>American Type Culture Collection</td><td>CRL-11268</td><td></td></tr><tr><td>&lt;a href=&quot;http://www.lifetechnologies.com/order/catalog/product/25300054&quot;&gt;Trypsin-EDTA (0.05%), phenol red&lt;/a&gt;</td><td>Life Technologies</td><td>25300-054</td><td></td></tr><tr><td>DMEM, high glucose, pyruvate</td><td>Life Technologies</td><td>11995-065</td><td></td></tr><tr><td>Fetal Bovine Serum</td><td>Sigma</td><td>F4135</td><td></td></tr><tr><td>Tris</td><td></td><td></td><td>brand not critical</td></tr><tr><td>EDTA</td><td></td><td></td><td>brand not critical</td></tr><tr><td>200 Proof EtOH</td><td></td><td></td><td>brand not critical</td></tr><tr><td>Isopropanol</td><td></td><td></td><td>brand not critical</td></tr><tr><td>Sodium Acetate</td><td></td><td></td><td>brand not critical</td></tr><tr><td>DpnI</td><td>New England Biolabs</td><td>R0176</td><td>supplied with buffer</td></tr><tr><td>DamID adaptors &quot;AdRt&quot; and &quot;AdRb&quot;</td><td>Integrated DNA Technologies</td><td></td><td>sequences available in ref. 24; no phosphorylation of the 5&#039; or 3&#039; end to prevent self-ligation.</td></tr><tr><td>T4 DNA Ligase</td><td>Roche Life Science</td><td>10481220001</td><td>supplied with buffer</td></tr><tr><td>DpnII</td><td>New England Biolabs</td><td>R0543</td><td>supplied with buffer</td></tr><tr><td>DamID PCR primer &quot;AdR_PCR&quot;</td><td>Integrated DNA Technologies</td><td></td><td>sequences available in ref. 24</td></tr><tr><td>Deoxynucleotide (dNTP) Solution Set</td><td>New England Biolabs</td><td>N0446</td><td>100 mM each of dATP, dCTP, dGTP and dTTP</td></tr><tr><td>Advantage 2&amp;nbsp; Polymerase Mix</td><td>Clontech</td><td>639201</td><td>supplied with buffer</td></tr><tr><td>1Kb Plus DNA Ladder</td><td>Life Technologies</td><td>10787018</td><td>1.0 &amp;micro;g/&amp;micro;l</td></tr><tr><td>QIAquick PCR Purification Kit</td><td>QIAGEN</td><td>28104 or 28106</td><td></td></tr><tr><td>MinElute PCR Purification Kit</td><td>QIAGEN</td><td>28004 or 28006</td><td>for an elution volume of less than 30 &amp;micro;l</td></tr><tr><td>SPRI beads / Agencourt AMPure XP</td><td>Beckman Coulter</td><td>A63880</td><td>apply extra mixing and more elution time if less than 40 &amp;micro;l elution buffer is used</td></tr><tr><td>Buffer EB</td><td>QIAGEN</td><td>19086</td><td></td></tr><tr><td>NEBNext dsDNA Fragmentase</td><td>New England Biolabs</td><td>M0348</td><td>supplied with buffer</td></tr><tr><td>T4 DNA Ligase Reaction Buffer</td><td>New England Biolabs</td><td>B0202</td><td></td></tr><tr><td>T4 DNA Polymerase</td><td>New England Biolabs</td><td>M0203</td><td></td></tr><tr><td>DNA Polymerase I, Large (Klenow) Fragment</td><td>New England Biolabs</td><td>M0210</td><td></td></tr><tr><td>T4 Polynuleotide Kinase</td><td>New England Biolabs</td><td>M0201</td><td></td></tr><tr><td>Klenow Fragment (3&amp;rsquo; &amp;#8594; 5&amp;rsquo; exo-)</td><td>New England Biolabs</td><td>M0212</td><td>supplied with buffer</td></tr><tr><td>sequencing adaptors</td><td>Integrated DNA Technologies</td><td></td><td>sequences available in ref. 28</td></tr><tr><td>Quick Ligation Kit</td><td>New England Biolabs</td><td>M2200</td><td>used in 3.4.3; supplied with Quick Ligation Reaction Buffer and Quick T4 DNA Ligase</td></tr><tr><td>sequencing primer 1 and 2</td><td>Integrated DNA Technologies</td><td></td><td>sequences available in ref. 28</td></tr><tr><td>KAPA HiFi PCR Kit</td><td>Kapa Biosystems</td><td>KK2101 or KK2102</td><td>supplied with KAPA HiFi DNA Polymerase, 5x KAPA HiFi Fidelity Buffer and 10 mM dNTP mix</td></tr><tr><td>agarose</td><td>Sigma Aldrich</td><td>A4679</td><td></td></tr><tr><td>ethidium bromide</td><td>Sigma Aldrich</td><td>E1510-10ML</td><td>10 mg/ml</td></tr><tr><td>QIAquick Gel Extraction Kit</td><td>QIAGEN</td><td>28704 or 28706</td><td></td></tr><tr><td>iTaq Universal SYBR Green Supermix</td><td>Bio-Rad Laboratories</td><td>1725121 or 1725122</td><td></td></tr><tr><td>Spectrophotometer</td><td></td><td></td><td>brand not critical</td></tr><tr><td>0.45 &amp;#956;m PVDF Filter</td><td></td><td></td><td>brand not critical</td></tr><tr><td>25 ml Seringe</td><td></td><td></td><td>brand not critical</td></tr><tr><td>10 cm Tissue Culture Plates</td><td></td><td></td><td>brand not critical</td></tr><tr><td>6-well Tissue Culture Plates</td><td></td><td></td><td>brand not critical</td></tr><tr><td>S1000 Thermal Cycler</td><td>Bio-Rad Laboratories</td><td></td><td></td></tr><tr><td>C1000 Touch Thermal Cycler</td><td>Bio-Rad Laboratories</td><td></td><td>for qPCR</td></tr><tr><td>Vortex Mixer</td><td></td><td></td><td>brand not critical</td></tr><tr><td>Dry Block Heater or Thermomixer</td><td></td><td></td><td>brand not critical</td></tr><tr><td>Microcentrifuge</td><td></td><td></td><td>brand not critical</td></tr><tr><td>Gel electrophoresis system with power supply</td><td></td><td></td><td>brand not critical</td></tr><tr><td>Magnet stand</td><td></td><td></td><td>for purification of DNA with SPRI beads; should hold 1.5-2 ml tubes; brand not critical</td></tr><tr><td>UV transilluminator</td><td></td><td></td><td>brand not critical</td></tr><tr><td>E-gel electrophoresis system</td><td>Life Technologies</td><td>G6400, G6500, G6512ST</td><td></td></tr></tbody></table>

damid-seq: genome-wide mapping of protein-dna interactions by high throughput sequencing of adenine-methylated dna fragments

The DNA adenine methyltransferase identification (DamID) assay is a powerful method to detect protein-DNA interactions both locally and genome-wide. It is an alternative approach to chromatin immunoprecipitation (ChIP). An expressed fusion protein consisting of the protein of interest and the E. coli DNA adenine methyltransferase can methylate the adenine base in GATC motifs near the sites of protein-DNA interactions. Adenine-methylated DNA fragments can then be specifically amplified and detected. The original DamID assay detects the genomic locations of methylated DNA fragments by hybridization to DNA microarrays, which is limited by the availability of microarrays and the density of predetermined probes. In this paper, we report the detailed protocol of integrating high throughput DNA sequencing into DamID (DamID-seq). The large number of short reads generated from DamID-seq enables detecting and localizing protein-DNA interactions genome-wide with high precision and sensitivity. We have used the DamID-seq assay to study genome-nuclear lamina (NL) interactions in mammalian cells, and have noticed that DamID-seq provides a high resolution and a wide dynamic range in detecting genome-NL interactions. The DamID-seq approach enables probing NL associations within gene structures and allows comparing genome-NL interaction maps with other functional genomic data, such as ChIP-seq and RNA-seq.

댐-V5-LmnB1 융합 단백질은 면역 형광 염색법에 의한 내인성 라민 B 형 단백질 (그림 1)과 협력 지역화 것으로 확인되었다. 아데닌 메틸화 DNA 단편의 성공적인 PCR 증폭 DamID-SEQ위한 중요한 단계이다. 노 또는 명확하게 덜 증폭 (그림 2)가 발생한다 (리가없이 또는 PCR 템플릿없이, DpnI없이) 음성 대조군 동안 ...

Watch this Scientific Journal Video about DamID-seq: Genome-wide Mapping of Protein-DNA Interactions by High Throughput Sequencing of Adenine-methylated DNA Fragments at JoVE.com

DamID-seq: Genome-wide Mapping of Protein-DNA Interactions by High Throughput Sequencing of Adenine-methylated DNA Fragments

우리는 높은 처리량 시퀀싱 (DamID-SEQ)에 DNA 아데닌의 메틸화 식별 (DamID)을 결합하여 여기에 분석을 설명합니다. 이 개선 된 방법은 높은 해상도와 넓은 동적 범위를 제공하며, 허용 등과 칩 서열, RNA-SEQ 같은 다른 높은 처리량 시퀀싱 데이터와 함께 DamID-서열 데이터 분석

DamID-SEQ : 아데닌 - 메틸화 된 DNA 단편의 높은 처리량 시퀀싱에 의해 단백질 DNA 상호 작용의 게놈 넓은 매핑

The DNA adenine methyltransferase identification (DamID) assay is a powerful method to detect protein-DNA interactions both locally and genome-wide. It is ...

damid-seq-genome-wide-mapping-protein-dna-interactions-high

Universidad de Cartagena UDEC

Research

JoVE Journal

Biology

19.3K 조회수.  Yale University School of Medicine.  우리는 높은 처리량 시퀀싱 (DamID-SEQ)에 DNA 아데닌의 메틸화 식별 (DamID)을 결합하여 여기에 분석을 설명합니다. 이 개선 된 방법은 높은 해상도와 넓은 동적 범위를 제공하며, 허용 등과 칩 서열, RNA-SEQ 같은 다른 높은 처리량 시퀀싱 데이터와 함께 DamID-서열 데이터 분석 

비디오: DamID-seq: Genome-wide Mapping of Protein-DNA Interactions by High Throughput Sequencing of Adenine-methylated DNA Fragments

Genome-wide Mapping of Protein-DNA Interactions with ChEC-seq in Saccharomyces cerevisiae

Genome-wide mapping of protein-DNA interactions is critical for understanding gene regulation, chromatin remodeling, and other chromatin-resident processes. Formaldehyde crosslinking followed by chromatin immunoprecipitation and high-throughput sequencing (X-ChIP-seq) has been used to gain many valuable insights into genome biology. However, X-ChIP-seq has notable limitations linked to crosslinking and sonication. Native ChIP avoids these drawbacks by omitting crosslinking, but often results in poor recovery of chromatin-bound proteins. In addition, all ChIP-based methods are subject to antibody quality considerations. Enzymatic methods for mapping protein-DNA interactions, which involve fusion of a protein of interest to a DNA-modifying enzyme, have also been used to map protein-DNA interactions. We recently combined one such method, chromatin endogenous cleavage (ChEC), with high-throughput sequencing as ChEC-seq. ChEC-seq relies on fusion of a chromatin-associated protein of interest to micrococcal nuclease (MNase) to generate targeted DNA cleavage in the presence of calcium in living cells. ChEC-seq is not based on immunoprecipitation and so circumvents potential concerns with crosslinking, sonication, chromatin solubilization, and antibody quality while providing high resolution mapping with minimal background signal. We envision that ChEC-seq will be a powerful counterpart to ChIP, providing an independent means by which to both validate ChIP-seq findings and discover new insights into genomic regulation.

Genome-wide Mapping of Protein-DNA Interactions with ChEC-seq in Saccharomyces cerevisiae

We describe chromatin endogenous cleavage coupled with high-throughput sequencing (ChEC-seq), a chromatin immunoprecipitation (ChIP)-orthogonal method for mapping protein binding sites genome-wide with micrococcal nuclease (MNase) fusion proteins.

ChEC-seq와의 단백질 - DNA 상호 작용의 게놈 전체 매핑<em&gt; 사카로 마이 세스 세레 비시 애</em

Genome-wide mapping of protein-DNA interactions is critical for understanding gene regulation, chromatin remodeling, and other chromatin-resident ...

연구

유전학

Adaptation of Hybridization Capture of Chromatin-associated Proteins for Proteomics to Mammalian Cells

The hybridization capture of chromatin-associated proteins for proteomics (HyCCAPP) technology was initially developed to uncover novel DNA-protein interactions in yeast. It allows analysis of a target region of interest without the need for prior knowledge about likely proteins bound to the target region. This, in theory, allows HyCCAPP to be used to analyze any genomic region of interest, and it provides sufficient flexibility to work in different cell systems. This method is not meant to study binding sites of known transcription factors, a task better suited for Chromatin Immunoprecipitation (ChIP) and ChIP-like methods. The strength of HyCCAPP lies in its ability to explore DNA regions for which there is limited or no knowledge about the proteins bound to it. It can also be a convenient method to avoid biases (present in ChIP-like methods) introduced by protein-based chromatin enrichment using antibodies. Potentially, HyCCAPP can be a powerful tool to uncover truly novel DNA-protein interactions. To date, the technology has been predominantly applied to yeast cells or to high copy repeat sequences in mammalian cells. In order to become the powerful tool we envision, HyCCAPP approaches need to be optimized to efficiently capture single-copy loci in mammalian cells. Here, we present our adaptation of the initial yeast HyCCAPP capture protocol to human cell lines, and show that single-copy chromatin regions can be efficiently isolated with this modified protocol.

This is a method to identify novel DNA-interacting proteins at specific target loci, relying on sequence-specific capture of crosslinked chromatin for subsequent proteomic analyses. No prior knowledge about potential binding proteins, nor cell modifications are required. Initially developed for yeast, the technology has now been adapted for mammalian cells.

교 잡의 적응 포유류 세포 단백질 Chromatin 관련 단백질의 캡처

The hybridization capture of chromatin-associated proteins for proteomics (HyCCAPP) technology was initially developed to uncover novel DNA-protein ...

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

We have adapted the yeast 2-hybrid assay to simultaneously uncover dozens of transient and static protein interactions within a single screen utilizing high-throughput short-read DNA sequencing. The resulting sequence datasets can not only track what genes in a population that are enriched during selection for positive yeast 2-hybrid interactions, but also give detailed information about the relevant subdomains of proteins sufficient for interaction. Here, we describe a full suite of stand-alone software programs that allow non-experts to perform all the bioinformatics and statistical steps to process and analyze DNA sequence fastq files from a batch yeast 2-hybrid assay. The processing steps covered by these software include: 1) mapping and counting sequence reads corresponding to each candidate protein encoded within a yeast 2-hybrid prey library; 2) a statistical analysis program that evaluates the enrichment profiles; and 3) tools to examine the translational frame and position within the coding region of each enriched plasmid that encodes the interacting proteins of interest.

Deep sequencing of yeast populations selected for positive yeast 2-hybrid interactions potentially yields a wealth of information about interacting partner proteins. Here, we describe the operation of specific bioinformatics tools and customized updated software to analyze sequence data from such screens.

일괄 처리 효 모 2 잡종 스크린에서 시퀀스 데이터의 informatic 분석

We have adapted the yeast 2-hybrid assay to simultaneously uncover dozens of transient and static protein interactions within a single screen utilizing ...

High-Resolution Mapping of Protein-DNA Interactions in Mouse Stem Cell-Derived Neurons using Chromatin Immunoprecipitation-Exonuclease (ChIP-Exo)

Identification of specific protein-DNA interactions on the genome is important for understanding gene regulation. Chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq) is widely used to identify genome-wide binding locations of DNA-binding proteins. However, the ChIP-seq method is limited by its heterogeneity in length of sonicated DNA fragments and non-specific background DNA, resulting in low mapping resolution and uncertainty in DNA-binding sites. To overcome these limitations, the combination of ChIP with exonuclease digestion (ChIP-exo) utilizes 5&#8217; to 3&#8217; exonuclease digestion to trim the heterogeneously sized immunoprecipitated DNA to the protein-DNA crosslinking site. Exonuclease treatment also eliminates non-specific background DNA. The library-prepared and exonuclease-digested DNA can be sent for high-throughput sequencing. The ChIP-exo method allows for near base-pair mapping resolution with greater detection sensitivity and reduced background signal. An optimized ChIP-exo protocol for mammalian cells and next-generation sequencing is described below.

High-Resolution Mapping of Protein-DNA Interactions in Mouse Stem Cell-Derived Neurons using Chromatin Immunoprecipitation-Exonuclease ChIP-Exo

Precise determination of protein-binding locations across the genome is important for understanding gene regulation. Here we describe a&#160;genomic mapping method that treats chromatin-immunoprecipitated DNA with exonuclease digestion (ChIP-exo) followed by high-throughput sequencing. This method detects protein-DNA interactions with near base-pair mapping resolution and high signal-to-noise ratio in mammalian neurons.

크롬 마틴 면역 침전 -엑소뉴클레아제 (ChIP-Exo)를 사용하여 마우스 줄기 세포 유래 뉴런에서 단백질 DNA 상호 작용의 고해상도 매핑

Identification of specific protein-DNA interactions on the genome is important for understanding gene regulation. Chromatin immunoprecipitation coupled ...

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Immunoaffinity purification mass spectrometry (IP-MS) has emerged as a robust quantitative method of identifying protein-protein interactions. This publication presents a complete interaction proteomics workflow designed for identifying low abundance protein-protein interactions from the nucleus that could also be applied to other subcellular compartments. This workflow includes subcellular fractionation, immunoprecipitation, sample preparation, offline cleanup, single-shot label-free mass spectrometry, and downstream computational analysis and data visualization. Our protocol is optimized for detecting compartmentalized, low abundance interactions that are difficult to identify from whole cell lysates (e.g., transcription factor interactions in the nucleus) by immunoprecipitation of endogenous proteins from fractionated subcellular compartments. The sample preparation pipeline outlined here provides detailed instructions for the preparation of HeLa cell nuclear extract, immunoaffinity purification of endogenous bait protein, and quantitative mass spectrometry analysis. We also discuss methodological considerations for performing large-scale immunoprecipitation in mass spectrometry-based interaction profiling experiments and provide guidelines for evaluating data quality to distinguish true positive protein interactions from nonspecific interactions. This approach is demonstrated here by investigating the nuclear interactome of the CMGC kinase, DYRK1A, a low abundance protein kinase with poorly defined interactions within the nucleus.

Described is a proteomics workflow for identifying protein interaction partners from a nuclear subcellular fraction using immunoaffinity enrichment of a given protein of interest and label-free mass spectrometry. The workflow includes subcellular fractionation, immunoprecipitation, filter aided sample preparation, offline cleanup, mass spectrometry, and a downstream bioinformatics pipeline.

대규모 핵 상호 작용 프로파일링을 위한 라벨 없는 면역 침전 질량 분광 워크플로우

Immunoaffinity purification mass spectrometry (IP-MS) has emerged as a robust quantitative method of identifying protein-protein interactions. This ...

생화학

iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

The unique composition and spatial arrangement of RNA-binding proteins (RBPs) on a transcript guide the diverse aspects of post-transcriptional regulation1. Therefore, an essential step towards understanding transcript regulation at the molecular level is to gain positional information on the binding sites of RBPs2.
Protein-RNA interactions can be studied using biochemical methods, but these approaches do not address RNA binding in its native cellular context. Initial attempts to study protein-RNA complexes in their cellular environment employed affinity purification or immunoprecipitation combined with differential display or microarray analysis (RIP-CHIP)3-5. These approaches were prone to identifying indirect or non-physiological interactions6. In order to increase the specificity and positional resolution, a strategy referred to as CLIP (UV cross-linking and immunoprecipitation) was introduced7,8. CLIP combines UV cross-linking of proteins and RNA molecules with rigorous purification schemes including denaturing polyacrylamide gel electrophoresis. In combination with high-throughput sequencing technologies, CLIP has proven as a powerful tool to study protein-RNA interactions on a genome-wide scale (referred to as HITS-CLIP or CLIP-seq)9,10. Recently, PAR-CLIP was introduced that uses photoreactive ribonucleoside analogs for cross-linking11,12.
Despite the high specificity of the obtained data, CLIP experiments often generate cDNA libraries of limited sequence complexity. This is partly due to the restricted amount of co-purified RNA and the two inefficient RNA ligation reactions required for library preparation. In addition, primer extension assays indicated that many cDNAs truncate prematurely at the crosslinked nucleotide13. Such truncated cDNAs are lost during the standard CLIP library preparation protocol. We recently developed iCLIP (individual-nucleotide resolution CLIP), which captures the truncated cDNAs by replacing one of the inefficient intermolecular RNA ligation steps with a more efficient intramolecular cDNA circularization (Figure 1)14. Importantly, sequencing the truncated cDNAs provides insights into the position of the cross-link site at nucleotide resolution. We successfully applied iCLIP to study hnRNP C particle organization on a genome-wide scale and assess its role in splicing regulation14.

The spatial arrangement of RNA-binding proteins on a transcript is a key determinant of post-transcriptional regulation. Therefore, we developed individual-nucleotide resolution UV crosslinking and immunoprecipitation (iCLIP) that allows precise genome-wide mapping of the binding sites of an RNA-binding protein.

iCLIP - 개인 염기 해상도와 단백질 RNA 상호 작용의 Transcriptome 전체 매핑

The unique composition and spatial arrangement of RNA-binding proteins (RBPs) on a transcript guide the diverse aspects of post-transcriptional ...

생물학

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing (ChIP-seq)

ChIP-sequencing (ChIP-seq) methods directly offer whole-genome coverage, where combining chromatin immunoprecipitation (ChIP) and massively parallel sequencing can be utilized to identify the repertoire of mammalian DNA sequences bound by transcription factors in vivo. "Next-generation" genome sequencing technologies provide 1-2 orders of magnitude increase in the amount of sequence that can be cost-effectively generated over older technologies thus allowing for ChIP-seq methods to directly provide whole-genome coverage for effective profiling of mammalian protein-DNA interactions.
For successful ChIP-seq approaches, one must generate high quality ChIP DNA template to obtain the best sequencing outcomes. The description is based around experience with the protein product of the gene most strongly implicated in the pathogenesis of type 2 diabetes, namely the transcription factor transcription factor 7-like 2 (TCF7L2). This factor has also been implicated in various cancers.
Outlined is how to generate high quality ChIP DNA template derived from the colorectal carcinoma cell line, HCT116, in order to build a high-resolution map through sequencing to determine the genes bound by TCF7L2, giving further insight in to its key role in the pathogenesis of complex traits.

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq

The combination of chromatin immunoprecipitation and ultra-high-throughput sequencing (ChIP-seq) can identify and map protein-DNA interactions in a given tissue or cell line. Outlined is how to generate a high quality ChIP template for subsequent sequencing, using experience with the transcription factor TCF7L2 as an example.

높은 처리량 시퀀싱을위한 고품질 염색질 면역 침전의 DNA 템플릿의 생성 (칩 SEQ)

ChIP-sequencing (ChIP-seq) methods directly  offer whole-genome coverage, where combining chromatin immunoprecipitation  (ChIP) and massively parallel ...

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics

Quantitative proteomics combined with immuno-affinity purification, SILAC immunoprecipitation, represent a powerful means for the discovery of novel protein:protein interactions. By allowing the accurate relative quantification of protein abundance in both control and test samples, true interactions may be easily distinguished from experimental contaminants. Low affinity interactions can be preserved through the use of less-stringent buffer conditions and remain readily identifiable. This protocol discusses the labeling of tissue culture cells with stable isotope labeled amino acids, transfection and immunoprecipitation of an affinity tagged protein of interest, followed by the preparation for submission to a mass spectrometry facility. This protocol then discusses how to analyze and interpret the data returned from the mass spectrometer in order to identify cellular partners interacting with a protein of interest. As an example this technique is applied to identify proteins binding to the eukaryotic translation initiation factors: eIF4AI and eIF4AII.

SILAC immunoprecipitation experiments represent a powerful means for discovering novel protein:protein interactions. By allowing the accurate relative quantification of protein abundance in both control and test samples, true interactions may be easily distinguished from experimental contaminants, and low affinity interactions preserved through use of less-stringent buffer conditions.

SILAC - 면역 정량 프로테오믹스를 사용하여 포유 동물 세포에있는 단백질 상호 작용 파트너의 식별

Quantitative proteomics combined with immuno-affinity purification, SILAC immunoprecipitation, represent a powerful means for the discovery of novel ...

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

High-density functional protein microarrays containing ~4,200 recombinant yeast proteins are examined for kinase protein-protein interactions using an affinity purified yeast kinase fusion protein containing a V5-epitope tag for read-out. Purified kinase is obtained through culture of a yeast strain optimized for high copy protein production harboring a plasmid containing a Kinase-V5 fusion construct under a GAL inducible promoter. The yeast is grown in restrictive media with a neutral carbon source for 6 hr followed by induction with 2% galactose. Next, the culture is harvested and kinase is purified using standard affinity chromatographic techniques to obtain a highly purified protein kinase for use in the assay. The purified kinase is diluted with kinase buffer to an appropriate range for the assay and the protein microarrays are blocked prior to hybridization with the protein microarray. After the hybridization, the arrays are probed with monoclonal V5 antibody to identify proteins bound by the kinase-V5 protein. Finally, the arrays are scanned using a standard microarray scanner, and data is extracted for downstream informatics analysis1,2 to determine a high confidence set of protein interactions for downstream validation in vivo.

Using protein microarrays containing nearly the entire S. cerevisiae proteome is probed for rapid unbiased interrogation of thousands of protein-protein interactions in parallel. This method can be utilized for protein-small molecule, posttranslational modification, and other assays in high-throughput.

고밀도 기능성 단백질 마이크로 어레이를 프로빙하는 단백질 - 단백질 상호 작용을 검출하기

High-density functional protein microarrays containing ~4,200 recombinant yeast proteins are examined for kinase protein-protein interactions using an ...

Genome-wide Mapping of Drug-DNA Interactions in Cells with COSMIC (Crosslinking of Small Molecules to Isolate Chromatin)

The genome is the target of some of the most effective chemotherapeutics, but most of these drugs lack DNA sequence specificity, which leads to dose-limiting toxicity and many adverse side effects. Targeting the genome with sequence-specific small molecules may enable molecules with increased therapeutic index and fewer off-target effects. N-methylpyrrole/N-methylimidazole polyamides are molecules that can be rationally designed to target specific DNA sequences with exquisite precision. And unlike most natural transcription factors, polyamides can bind to methylated and chromatinized DNA without a loss in affinity. The sequence specificity of polyamides has been extensively studied in vitro with cognate site identification (CSI) and with traditional biochemical and biophysical approaches, but the study of polyamide binding to genomic targets in cells remains elusive. Here we report a method, the crosslinking of small molecules to isolate chromatin (COSMIC), that identifies polyamide binding sites across the genome. COSMIC is similar to chromatin immunoprecipitation (ChIP), but differs in two important ways: (1) a photocrosslinker is employed to enable selective, temporally-controlled capture of polyamide binding events, and (2) the biotin affinity handle is used to purify polyamide&#8211;DNA conjugates under semi-denaturing conditions to decrease DNA that is non-covalently bound. COSMIC is a general strategy that can be used to reveal the genome-wide binding events of polyamides and other genome-targeting chemotherapeutic agents.

Genome-wide Mapping of Drug-DNA Interactions in Cells with COSMIC Crosslinking of Small Molecules to Isolate Chromatin

Identifying the direct targets of genome-targeting molecules remains a major challenge. To understand how DNA-binding molecules engage the genome, we developed a method that relies on crosslinking of small molecules to isolate chromatin (COSMIC).

DamID-SEQ : 아데닌 - 메틸화 된 DNA 단편의 높은 처리량 시퀀싱에 의해 단백질 DNA 상호 작용의 게놈 넓은 매핑

요약

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ChEC-seq와의 단백질 - DNA 상호 작용의 게놈 전체 매핑