Single Cell Analysis of Chromatin Accessibility

Single Cell Analysis of Chromatin Accessibility

Author: Rongxin Fang

Publisher:

Published: 2019

Total Pages: 272

ISBN-13:

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The identity of each cell in the human body is established and maintained through distinct gene expression program, which is regulated in part by the chromatin accessibility. Until recently, our understanding of chromatin accessibility has depended largely upon bulk measurements in populations of cells. Recent advances in the sequencing techniques have allowed for the identification of open chromatin regions in single cells. During my Ph.D., I have developed and used single cell sequencing techniques to study the diverse gene regulatory programs underlie the different cell types in mammalian complex tissues. In chapter 1, colleague and I developed Single Nucleus Assay of Transpose Accessible Chromatin using Sequencing (snATAC-seq), a combinatorial barcoding-assisted single-cell assay for probing accessible chromatin in single cells. We then used snATAC-seq to generate an epigenomic atlas of early developing mouse brain. The high-level noise of each single cell chromatin accessibility profile and the large volume of the datasets pose unique computational challenges. In chapter 2, I developed a comprehensive bioinformatics software package called SnapATAC for analyzing large-scale single cell ATAC-seq dataset. SnapATAC resolves the heterogeneity in complex tissues and maps the trajectories of cellular states. As a demonstration of its utility, SnapATAC was applied to 55,592 single-nucleus ATAC-seq profiles from the mouse secondary motor cortex. To further determine the target genes of the distal regulatory elements identified using snATAC-seq in different cell types, in chapter 3, colleague and I developed PLAC-seq, a cost-efficient method that identifies the long-range chromatin interaction at kilobase resolution. PLAC-seq improves the efficiency of detecting chromatin conformation by over 10-fold and reduces the input requirement by nearly 100-fold compared to the prior techniques. Finally, to probe the in vivo function of the regulatory sequences, I present a high-throughput CRISPR screening method (CREST-seq) for the unbiased discovery and functional assessment of enhancer sequences in the human genome. We used it to interrogate the 2-Mb POU5F1 locus in human embryonic stem cells and discovered that sequences previously annotated as promoters of functionally unrelated genes can regulate the expression of POU5F1 from a long distance. We anticipate that these studies will help us understand the gene regulatory programs across diverse biological systems ranging from human disease to the evolution of species.


The Mouse Nervous System

The Mouse Nervous System

Author: Charles Watson

Publisher: Academic Press

Published: 2011-11-28

Total Pages: 815

ISBN-13: 0123694973

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The Mouse Nervous System provides a comprehensive account of the central nervous system of the mouse. The book is aimed at molecular biologists who need a book that introduces them to the anatomy of the mouse brain and spinal cord, but also takes them into the relevant details of development and organization of the area they have chosen to study. The Mouse Nervous System offers a wealth of new information for experienced anatomists who work on mice. The book serves as a valuable resource for researchers and graduate students in neuroscience. Systematic consideration of the anatomy and connections of all regions of the brain and spinal cord by the authors of the most cited rodent brain atlases A major section (12 chapters) on functional systems related to motor control, sensation, and behavioral and emotional states A detailed analysis of gene expression during development of the forebrain by Luis Puelles, the leading researcher in this area Full coverage of the role of gene expression during development and the new field of genetic neuroanatomy using site-specific recombinases Examples of the use of mouse models in the study of neurological illness


Relative Distribution Methods in the Social Sciences

Relative Distribution Methods in the Social Sciences

Author: Mark S. Handcock

Publisher: Springer Science & Business Media

Published: 2006-05-10

Total Pages: 272

ISBN-13: 0387226583

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This monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, a graphical component that simplifies exploratory data analysis and display, a statistically valid basis for the development of hypothesis-driven summary measures, and the potential for decomposition - enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups. Written for data analysts and those interested in measurement, the text can also serve as a textbook for a course on distributional methods.


Chromatin Accessibility

Chromatin Accessibility

Author: Georgi K. Marinov

Publisher: Springer Nature

Published: 2023-02-20

Total Pages: 337

ISBN-13: 1071628992

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This detailed volume provides a comprehensive resource covering the existing and state-of-the-art tools in the field of profiling chromatin accessibility and its dynamics. Beginning with a section on bulk-cell methods for profiling chromatin accessibility and nucleosome positioning that rely on enzymatic cleavage of accessible DNA and produce information about relative accessibility, the book continues with methods that use single-molecule and enzymatic approaches to solving the problem of mapping absolute occupancy/accessibility, emerging tools for mapping DNA accessibility and nucleosome positioning in single cells, imaging-based methods for visualizing accessible chromatin in its nuclear context, as well as computational methods for the processing and analysis of chromatin accessibility datasets. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Chromatin Accessibility: Methods and Protocols serves as an extensive and useful reference for researchers studying different facets of chromatin accessibility in a wide variety of biological contexts. Chapter 6 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Statistical Genomics

Statistical Genomics

Author: Ewy Mathé

Publisher: Humana

Published: 2016-03-24

Total Pages: 0

ISBN-13: 9781493935765

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This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories, common applications, and representative tools for operating on genomic data. Statistical Genomics: Methods and Protocols is divided into four sections. The first section discusses overview material and resources that can be applied across topics mentioned throughout the book. The second section covers prominent public repositories for genomic data. The third section presents several different biological applications of statistical genomics, and the fourth section highlights software tools that can be used to facilitate ad-hoc analysis and data integration. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible analysis protocols, and tips on troubleshooting and avoiding known pitfalls. Through and practical, Statistical Genomics: Methods and Protocols, explores a range of both applications and tools and is ideal for anyone interested in the statistical analysis of genomic data.


Programmed Cell Death in Plants

Programmed Cell Death in Plants

Author: John Gray

Publisher: Wiley-Blackwell

Published: 2004

Total Pages: 287

ISBN-13: 9781841274201

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The recognition of cell death as an active process has changed the way in which biologists view living things. Geneticists re-evaluate long known mutants, research strategies are redesigned, and new model systems are sought. This volume reviews our new understanding of programmed cell death as it applies to plants. The book draws comparisons with programmed cell death in animals and unicellular organisms. The book is directed at researchers and professionals in plant cell biology, biochemistry, physiology, developmental biology and genetics.


The Strategy of the Genes

The Strategy of the Genes

Author: C.H. Waddington

Publisher: Routledge

Published: 2014-04-29

Total Pages: 231

ISBN-13: 1317657543

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First published in 1957, this essential classic work bridged the gap between analytical and theoretical biology, thus setting the insights of the former in a context which more sensitively reflects the ambiguities surrounding many of its core concepts and objectives. Specifically, these five essays are concerned with some of the major problems of classical biology: the precise character of biological organisation, the processes which generate it, and the specifics of evolution. With regard to these issues, some thinkers suggest that biological organisms are not merely distinguishable from inanimate ‘things’ in terms of complexity, but are in fact radically different qualitatively: they exemplify some constitutive principle which is not elsewhere manifested. It is the desire to bring such ideas into conformity with our understanding of analytical biology which unifies these essays. They explore the contours of a conceptual framework sufficiently wide to embrace all aspects of living systems.


Hi-C Data Analysis

Hi-C Data Analysis

Author: Silvio Bicciato

Publisher: Humana

Published: 2022-09-04

Total Pages: 0

ISBN-13: 9781071613924

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This volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Hi-C Data Analysis: Methods and Protocols aims to help computational and molecular biologists working in the field of chromatin 3D architecture and transcription regulation.


Next Steps for Functional Genomics

Next Steps for Functional Genomics

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2020-12-18

Total Pages: 201

ISBN-13: 0309676738

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One of the holy grails in biology is the ability to predict functional characteristics from an organism's genetic sequence. Despite decades of research since the first sequencing of an organism in 1995, scientists still do not understand exactly how the information in genes is converted into an organism's phenotype, its physical characteristics. Functional genomics attempts to make use of the vast wealth of data from "-omics" screens and projects to describe gene and protein functions and interactions. A February 2020 workshop was held to determine research needs to advance the field of functional genomics over the next 10-20 years. Speakers and participants discussed goals, strategies, and technical needs to allow functional genomics to contribute to the advancement of basic knowledge and its applications that would benefit society. This publication summarizes the presentations and discussions from the workshop.


Computational Methods for Single-Cell Data Analysis

Computational Methods for Single-Cell Data Analysis

Author: Guo-Cheng Yuan

Publisher: Humana Press

Published: 2019-02-14

Total Pages: 271

ISBN-13: 9781493990566

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This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.