3dgenome
  • Initial page
  • Cover
  • Preface
  • Figurelist
  • Chap0 Preparation
    • 0.1 Molecular biology
    • 0.2 Sequencing technologies
    • 0.3 RNA-seq Data Mapping & Gene Quantification
    • 0.4 RNA-seq Differential Analysis
  • Chap1 Why we care about 3D genome
    • 1.1 From 2D to 3D nuclear structure
    • 1.2 From static to dynamic
    • 1.3 From intra to inter chromosomes "talk"
    • 1.4 From aggregation to division - phase separation
  • Chap2 experiment tools for exploring genome interaction
    • 2.1 Image based
    • 2.2 Primary order
    • 2.3 Higher order C-techs
  • Chap3 Computational analysis
    • 3.1 Primary order analysis
    • 3.2 Higer order data analysis
      • 3.2.1 Read mapping consideration
      • 3.2.2 Analytical Pipelines
        • GITAR Pipeline
        • HiC-Pro Pipeline
      • 3.2.3 TAD calling algorithms
    • 3.3 3D structure
  • Chap4 RNA-genome interaction
    • 4.1 Experimental Methods
    • 4.2 Computational Analysis
  • Chap5 Integrative Data Visualization Tools
    • 5.1 GIVE
    • 5.2 HiGlass
  • Chap6 4DN Project
  • Appendix
    • Homework
    • Student's presentation
      • A Brief Introduction to Machine Learning
      • Precision medicine
      • CHIP-Seq
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  • One-to-all capturing
  • Global mapping
  • Differences among three methods:
  1. Chap4 RNA-genome interaction

4.1 Experimental Methods

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Last updated 6 years ago

One-to-all capturing

These RNA specific mapping technologies are based on utilizing biotinylated complementary oligonucleotides to pull down a specific target RNA together with its binding partners. The identities of its DNA or protein-binding partners are subsequently revealed by sequencing or mass spectrometry. Typical technologies includes:

  • Chromatin Isolation by RNA Purification

  • Capture Hybridization Analysis of RNA Targets

  • RNA Antisense Purification

All these three methods leveraging synthetic biotinylated antisense DNA oligonucleotides that can specifically bind to genome, and later lncRNA-chromatin complex will be pulled out and sequenced subsequently. These three methods are very similar in overall approach with differences in specific crosslinking reagents, strength of chromatin shearing, strength of washing buffer, density and length of antisense probes. A review can be found ( RNA, action through interactions. Trends in genetics)

Global mapping

Methods mentioned above allow analysis of only one known RNA at a time. A new cohort of methods take advantage of the proximity of RNA and it's targets. By using a bi-polar linker which has RNA linker at one end and DNA linker at the other, these methods conversing the proximity into chimeric sequence which can later be mapped to referrence and find the contacts. These comprehensive and unbiased repertoires maybe useful in de novo interaction detection.

: Mapping RNA-genome interactions

MARGI (Sridhar et al., 2017) is the first proposed method for capturing global relationship of RNA-genome. The major innovation of the MARGI technology is to ligate chromotin associated RNAs with their target genomic sequences by proximity ligation, forming RNA-DNA chimeric sequences, which are subsequently converted into a sequencing library and subjected to paired end sequencing. MARGI has two variations: one is pxMARGI (proximity MARGI), this version is designed to capture all spacial approximate RNA-genome interaction no matter there is a protein binding or not. However, another one is diMARGI (direct MARGI) which only aim to detect protein-mediated RNA-DNA connection. The prominent experimental difference is weather we use sonication

: Chromatin-associated RNA sequencing

CHAR-seq (Bell et al.2018) maps all RNA-to-DNA contacts across the genome. Briefly, cells are cross-linkedfirst, then RNA is partially fragmented and soluble RNA is washed away. The chromatin-cross-linked RNA is then ligated to an oligonucleotide duplex ’bridge’ molecule and reverse transcribed. Genomic DNA is then digested and ligated onto the other end of the oligonucleotide ’bridge’, creating a link between chromatin-associated RNA and proximal DNA. The ligated RNA is fully converted to cDNA during second strand synthesis. Finally, the DNA is sonicated and the chimeric molecules are purified, processed, and sequenced.

: Global RNA interactions with DNA by deep sequencing:

GRID-seq (Li et al. 2017) is also a global mapping method that utilize a bivalent linker to ligate RNA to DNA in situ on fixed nuclei. One key difference with other two technologies is that GRID-seq uses a restriction enzyme to cut cDNA and gDNA fragments 19–23 bp distal to the bridge, which allows size selection of molecules that contain both RNA and DNA. This likely reduces the number of uninformative molecules sequenced.

Differences among three methods:

1) linker differences

As we described before, the interaction between proximate RNA-DNA interaction is transformed by using a linker to connect RNA at one end and DNA at the other. However the design of the linker (also names as bridge) varies between three methods the basic scheme of a linker follow a same fashion. Here we illustrate MARGI's linker construction as an example:

Usually each sequence of the double strand linker varies, one has a 5' adenylated end that aims to ligate RNA and the other one has a notch for DNA ligation. The chimeric sequence will then be circulated and split by enzyme. The right and left flanking sequences of the linker are designed to be complementary to the SP1 and SP2 sequencing primers, which enables the product sequences originated from the RNA and the DNA to be sequenced as Read 1 and Read 2, respectively, from the two distinct sequencing primers by paired-end sequencing.

MARGI

CHAR-SEQ

GRID-SEQ

Sequencing strategy

PE

SE

PE

Enzyme

BamHI

Dpnll

Mmel

Reads length

customize*

152bp

customize*

  • PE: pair-end sequencing. SE: single-end sequencing.

  • Customize means the length of reads depends on different sequencing platforms.

2) Protocol differences

The major difference is that many steps are conducted in intact nuclei, including restriction enzyme digestion, RNA-linker ligation, and proximity ligation.

  • ChAR-seq uses long single-end reads to sequence across the entire junction of the ‘bridge’, ensuring that RNA-to-DNA contacts are mapped with high confidence but the long reads requirement may reduce some of the informative information.

Advantages

Disadvantages

MARGI

● Captures interaction at native conditions.

● Require a large number (10^7) of cells.

CHAR-seq

● Proximity ligation is performed in nuclei, which reduces nonspecific interactions.(in situ)

● Only sequencing reads that cover the entire bridge sequence are informative, reducing the number of informative reads.

GRID-seq

● in situ, reduce nonspecific interactions.

● The informative sequence lengths on the RNA side and the DNA side are both limited to ~20 bases, resulting in challenges in unambiguous sequence mapping.

Proximity ligations of CHAR-seq and GRID-seq are performed in situ in intact nuclei, which reduces nonspecific interactions .

(ChIRP)
(CHART)
(RAP)
MARGI
CHAR-seq
GRID-seq
(Rao et al., 2014)
Figure1 MARGI linker illustration
Figure2 Protocal overview of three global sequencing-based technologies.