Enhancer selectivity in space and time: from enhancer–promoter interactions to promoter activation DOI
Jin Yang, Anders S. Hansen

Nature Reviews Molecular Cell Biology, Journal Year: 2024, Volume and Issue: 25(7), P. 574 - 591

Published: Feb. 27, 2024

Language: Английский

Single-molecule localization microscopy DOI Creative Commons
Mickaël Lelek, Melina Theoni Gyparaki, Gerti Beliu

et al.

Nature Reviews Methods Primers, Journal Year: 2021, Volume and Issue: 1(1)

Published: June 3, 2021

Single-molecule localization microscopy (SMLM) describes a family of powerful imaging techniques that dramatically improve spatial resolution over standard, diffraction-limited and can image biological structures at the molecular scale. In SMLM, individual fluorescent molecules are computationally localized from sequences localizations used to generate super-resolution or time course images, define trajectories. this Primer, we introduce basic principles SMLM before describing main experimental considerations when performing including labelling, sample preparation, hardware requirements acquisition in fixed live cells. We then explain how low-resolution processed reconstruct images and/or extract quantitative information, highlight selection discoveries enabled by closely related methods. discuss some limitations potential artefacts as well ways alleviate them. Finally, present an outlook on advanced promising new developments fast-evolving field SMLM. hope Primer will be useful reference for both newcomers practitioners

Language: Английский

Citations

661

Methods and applications for single-cell and spatial multi-omics DOI Open Access
Katy Vandereyken, Alejandro Sifrim, Bernard Thienpont

et al.

Nature Reviews Genetics, Journal Year: 2023, Volume and Issue: 24(8), P. 494 - 515

Published: March 2, 2023

Language: Английский

Citations

620

The Self-Organizing Genome: Principles of Genome Architecture and Function DOI Creative Commons
Tom Misteli

Cell, Journal Year: 2020, Volume and Issue: 183(1), P. 28 - 45

Published: Sept. 24, 2020

Language: Английский

Citations

553

Genome-Scale Imaging of the 3D Organization and Transcriptional Activity of Chromatin DOI Creative Commons
Jun-Han Su, Pu Zheng, Seon Kinrot

et al.

Cell, Journal Year: 2020, Volume and Issue: 182(6), P. 1641 - 1659.e26

Published: Aug. 20, 2020

Language: Английский

Citations

475

Visualizing DNA folding and RNA in embryos at single-cell resolution DOI

Leslie J. Mateo,

Sedona E. Murphy, Antonina Hafner

et al.

Nature, Journal Year: 2019, Volume and Issue: 568(7750), P. 49 - 54

Published: March 18, 2019

Language: Английский

Citations

396

Integrated spatial genomics reveals global architecture of single nuclei DOI
Yodai Takei, Jina Yun, Shiwei Zheng

et al.

Nature, Journal Year: 2021, Volume and Issue: 590(7845), P. 344 - 350

Published: Jan. 27, 2021

Language: Английский

Citations

332

Understanding 3D genome organization by multidisciplinary methods DOI
Ivana Jerković, Giacomo Cavalli

Nature Reviews Molecular Cell Biology, Journal Year: 2021, Volume and Issue: 22(8), P. 511 - 528

Published: May 5, 2021

Language: Английский

Citations

299

The emerging landscape of spatial profiling technologies DOI
Jeffrey R. Moffitt, Emma Lundberg, Holger Heyn

et al.

Nature Reviews Genetics, Journal Year: 2022, Volume and Issue: 23(12), P. 741 - 759

Published: July 20, 2022

Language: Английский

Citations

277

The relationship between genome structure and function DOI
A. Marieke Oudelaar, Douglas R. Higgs

Nature Reviews Genetics, Journal Year: 2020, Volume and Issue: 22(3), P. 154 - 168

Published: Nov. 24, 2020

Language: Английский

Citations

249

Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling DOI Creative Commons
Guy Nir, Irene Farabella, Cynthia Pérez Estrada

et al.

PLoS Genetics, Journal Year: 2018, Volume and Issue: 14(12), P. e1007872 - e1007872

Published: Dec. 26, 2018

Chromosome organization is crucial for genome function. Here, we present a method visualizing chromosomal DNA at super-resolution and then integrating Hi-C data to produce three-dimensional models of chromosome organization. Using the microscopy methods OligoSTORM OligoDNA-PAINT, trace 8 megabases human 19, structures ranging in size from few kilobases over megabase. Focusing on regions that contribute compartments, discover distinct that, spite considerable variability, can predict whether such correspond active (A-type) or inactive (B-type) compartments. Imaging through depths entire nuclei, capture pairs homologous diploid cells, obtaining evidence maternal paternal be differentially organized. Finally, using restraint-based modeling integrate imaging data, implement method–integrative genomic (IMGR)–to increase resolution our traces 10 kb.

Language: Английский

Citations

242