Literature DB >> 27940491

Capturing native interactions: intrinsic methods to study chromatin conformation.

M Jordan Rowley1, Victor G Corces1.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27940491      PMCID: PMC5199123          DOI: 10.15252/msb.20167438

Source DB:  PubMed          Journal:  Mol Syst Biol        ISSN: 1744-4292            Impact factor:   11.429


× No keyword cloud information.
Chromatin structure is often represented as a linear interface of proteins and nucleic acids, but in actuality chromatin is organized within a three‐dimensional nucleus (Rowley & Corces, 2016). Chromatin conformation capture (3C) and similar methods used to study chromatin organization (4C, 5C, and Hi‐C) involve formaldehyde‐mediated crosslinking in order to preserve protein–nucleic acid contacts throughout each step of sample preparation (Sati & Cavalli, 2016) (Fig 1A). However, crosslinking may bias contact maps based on the ability of individual loci to crosslink (Baranello et al, 2016). Furthermore, conventional 3C‐based assays can include random ligations with neighboring fragments, which can make it difficult to pinpoint precise interacting sites (Dekker et al, 2013). To counteract these potential issues, Brant et al (2016) report an intrinsic method (i3C) to study the native conformation of chromatin without the use of chemical crosslinkers.
Figure 1

Methods to study native chromatin organization

(A) Conventional chromatin conformation capture. In conventional methods for studying chromatin organization, chromatin is crosslinked and processed in non‐physiological buffers. (B) Intrinsic chromatin conformation capture. i3C and related methods do not use crosslinking and are performed in a physiological buffer including washes to reduce bystander interactions. (C) TALE‐ID. Specific loci can be targeted using a TALE‐Dam fusion protein, which methylates any site (red) interacting with the targeted anchor (blue).

Methods to study native chromatin organization

(A) Conventional chromatin conformation capture. In conventional methods for studying chromatin organization, chromatin is crosslinked and processed in non‐physiological buffers. (B) Intrinsic chromatin conformation capture. i3C and related methods do not use crosslinking and are performed in a physiological buffer including washes to reduce bystander interactions. (C) TALE‐ID. Specific loci can be targeted using a TALE‐Dam fusion protein, which methylates any site (red) interacting with the targeted anchor (blue). In order to isolate native chromatin interactions without crosslinking, i3C and the related methods developed by Brant et al (2016) utilize in situ digestion and ligation of chromatin performed within a physiological buffer (Fig 1B). Similar to standard methods, the intrinsic assay can be performed with ~5 million cells or less. However, care must be taken when designing intrinsic chromatin conformation capture assays as not all restriction enzymes work equally well with the physiological buffer. While standard crosslinked chromatin interaction assays remain informative, the advantage of the intrinsic assay lies in the preservation of the native physiological chromatin state, which can provide insights into chromatin looping that standard assays may not detect. i3C and i4C‐seq were validated using interactions visualized as peaks that were originally identified by a standard 4C‐seq assay. Intrinsic chromatin interactions correlate well with the ones observed with crosslinked chromatin, but some differences between i4C and conventional 4C were seen. Interaction peaks were more focal using i4C, thus allowing greater precision in the identification of interacting loci. Interestingly, i4C‐seq also uncovered interactions at enhancer‐like loci that were not seen by conventional 4C, suggesting that chemical crosslinking may indeed result in locus‐specific contact biases. Furthermore, Brant et al (2016) utilized i4C‐seq to show that enhancer contacts are altered in response to external factors such as TNF stimulation. Observed contact differences were more pronounced when using the intrinsic i4C‐seq assay. Altogether, these results indicate that the crosslinking of chromatin interactions may obscure the fine‐tuned dynamics of 3D chromatin conformation. In addition to locus‐specific assays, the intrinsic method of chromatin conformation capture can be applied to genome‐wide approaches such as Hi‐C or to more targeted approaches using probes to capture fragments as in T2C (Lieberman‐Aiden et al, 2009; Kolovos et al, 2014). iT2C and iHi‐C contact maps resemble their counterparts in that distinct contact domain‐like structures are detected. However, the interaction signal in the interior of these domains is not as strong in iT2C as it is in conventional T2C, which could be an indicator that many interactions within domains are nonspecific. An alternative explanation is that interactions among sequences present in the interior of domains are natively weak and are enhanced by chemical crosslinking. It was found recently that CTCF loops at many domain borders form strong interactions with each other and form a peak of interactions seen by Hi‐C (Rao et al, 2014). It has been argued that CTCF loops in and of themselves cannot explain the contact enrichment seen interior to the loop (Fudenberg et al, 2016). Thus, it is tempting to explain the reduction in domain‐interior intrinsic interactions in light of the current model of CTCF loop formation, such that domain‐interior contacts may be artificially enriched by crosslinking. In any case, the differences between intrinsic and crosslinked contact maps may enhance our understanding of contact domain formation and thus bear further investigation. In addition to 3C‐based methods, Brant et al (2016) provide an alternative method to examine native chromatin interactions. TALE‐ID combines the locus‐specific targeting of TAL‐effector DNA binding proteins with the activity of a bacterial DNA adenosine methylase (Dam) used in DAM‐ID. This fusion protein can be designed to target a locus of interest and will methylate loci interacting in the three‐dimensional nuclear space (Fig 1C). The readout is similar to standard DamID, utilizing DpnI to detect methylated sites, which represent loci interacting with the targeted anchor (Fig 1C). This method confirms 3C and 4C interactions without the potential biases that crosslinking or ligation may introduce. FISH has commonly been used as a complement to 3C‐based assays; however, FISH only detects broad interaction trends between large genomic regions (Sati & Cavalli, 2016). TALE‐ID may prove to be an effective alternative to detect 3D chromatin interactions with high precision. The methods developed by Brant et al (2016) provide native alternatives to crosslinking‐based chromatin conformation capture. While the intrinsic method reproduces many aspects of conventional chromatin contact maps, examination of differential contacts between the two methods may enhance our understanding of chromatin interaction stability. For now, it is unclear whether contacts depleted by i3C (and related methods) represent background ligation events in standard methods or whether they are of functional significance. Future work using both crosslinked and native chromatin will be informative to understand the true nature of 3D chromatin organization.
  10 in total

Review 1.  Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data.

Authors:  Job Dekker; Marc A Marti-Renom; Leonid A Mirny
Journal:  Nat Rev Genet       Date:  2013-05-09       Impact factor: 53.242

Review 2.  Chromosome conformation capture technologies and their impact in understanding genome function.

Authors:  Satish Sati; Giacomo Cavalli
Journal:  Chromosoma       Date:  2016-04-30       Impact factor: 4.316

3.  ChIP bias as a function of cross-linking time.

Authors:  Laura Baranello; Fedor Kouzine; Suzanne Sanford; David Levens
Journal:  Chromosome Res       Date:  2015-12-21       Impact factor: 5.239

Review 4.  The three-dimensional genome: principles and roles of long-distance interactions.

Authors:  M Jordan Rowley; Victor G Corces
Journal:  Curr Opin Cell Biol       Date:  2016-02-04       Impact factor: 8.382

5.  A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping.

Authors:  Suhas S P Rao; Miriam H Huntley; Neva C Durand; Elena K Stamenova; Ivan D Bochkov; James T Robinson; Adrian L Sanborn; Ido Machol; Arina D Omer; Eric S Lander; Erez Lieberman Aiden
Journal:  Cell       Date:  2014-12-11       Impact factor: 41.582

6.  Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

Authors:  Erez Lieberman-Aiden; Nynke L van Berkum; Louise Williams; Maxim Imakaev; Tobias Ragoczy; Agnes Telling; Ido Amit; Bryan R Lajoie; Peter J Sabo; Michael O Dorschner; Richard Sandstrom; Bradley Bernstein; M A Bender; Mark Groudine; Andreas Gnirke; John Stamatoyannopoulos; Leonid A Mirny; Eric S Lander; Job Dekker
Journal:  Science       Date:  2009-10-09       Impact factor: 47.728

7.  Formation of Chromosomal Domains by Loop Extrusion.

Authors:  Geoffrey Fudenberg; Maxim Imakaev; Carolyn Lu; Anton Goloborodko; Nezar Abdennur; Leonid A Mirny
Journal:  Cell Rep       Date:  2016-05-19       Impact factor: 9.423

8.  Targeted Chromatin Capture (T2C): a novel high resolution high throughput method to detect genomic interactions and regulatory elements.

Authors:  Petros Kolovos; Harmen Jg van de Werken; Nick Kepper; Jessica Zuin; Rutger Ww Brouwer; Christel Em Kockx; Kerstin S Wendt; Wilfred Fj van IJcken; Frank Grosveld; Tobias A Knoch
Journal:  Epigenetics Chromatin       Date:  2014-06-16       Impact factor: 4.954

9.  Exploiting native forces to capture chromosome conformation in mammalian cell nuclei.

Authors:  Lilija Brant; Theodore Georgomanolis; Milos Nikolic; Chris A Brackley; Petros Kolovos; Wilfred van Ijcken; Frank G Grosveld; Davide Marenduzzo; Argyris Papantonis
Journal:  Mol Syst Biol       Date:  2016-12-09       Impact factor: 11.429

10.  Capturing native interactions: intrinsic methods to study chromatin conformation.

Authors:  M Jordan Rowley; Victor G Corces
Journal:  Mol Syst Biol       Date:  2016-12-09       Impact factor: 11.429

  10 in total
  4 in total

1.  Identifying Protein Interactions with Histone Peptides Using Bio-layer Interferometry.

Authors:  Bingbing Ren; Ahmed Mahmoud Mohammed Sayed; Hwei Ling Tan; Yu Keung Mok; Ee Sin Chen
Journal:  Bio Protoc       Date:  2018-09-20

2.  Bridging chromatin structure and function over a range of experimental spatial and temporal scales by molecular modeling.

Authors:  Stephanie Portillo-Ledesma; Tamar Schlick
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2019-08-06

3.  Epigenome-wide analysis of DNA methylation in lung tissue shows concordance with blood studies and identifies tobacco smoke-inducible enhancers.

Authors:  Theresa Ryan Stueve; Wen-Qing Li; Jianxin Shi; Crystal N Marconett; Tongwu Zhang; Chenchen Yang; Daniel Mullen; Chunli Yan; William Wheeler; Xing Hua; Beiyun Zhou; Zea Borok; Neil E Caporaso; Angela C Pesatori; Jubao Duan; Ite A Laird-Offringa; Maria Teresa Landi
Journal:  Hum Mol Genet       Date:  2017-08-01       Impact factor: 6.150

4.  Capturing native interactions: intrinsic methods to study chromatin conformation.

Authors:  M Jordan Rowley; Victor G Corces
Journal:  Mol Syst Biol       Date:  2016-12-09       Impact factor: 11.429

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.