User profiles for Nathan C. Sheffield

Nathan C. Sheffield

Assoc. Prof. of Public Health Genomics, Biomedical Engineering, Data Science. University of …
Verified email at virginia.edu
Cited by 24430

[HTML][HTML] The accessible chromatin landscape of the human genome

…, J Vierstra, MT Maurano, E Haugen, NC Sheffield… - Nature, 2012 - nature.com
DNase I hypersensitive sites (DHSs) are markers of regulatory DNA and have underpinned
the discovery of all classes of cis-regulatory elements including enhancers, promoters, …

The chromatin accessibility landscape of primary human cancers

…, KA Hoadley, AG Robertson, NC Sheffield… - Science, 2018 - science.org
INTRODUCTION Cancer is one of the leading causes of death worldwide. Although the 2%
of the human genome that encodes proteins has been extensively studied, much remains to …

Open chromatin defined by DNaseI and FAIRE identifies regulatory elements that shape cell-type identity

…, AP Boyle, PG Giresi, BK Lee, NC Sheffield… - Genome …, 2011 - genome.cshlp.org
The human body contains thousands of unique cell types, each with specialized functions.
Cell identity is governed in large part by gene transcription programs, which are determined …

ChIPmentation: fast, robust, low-input ChIP-seq for histones and transcription factors

C Schmidl, AF Rendeiro, NC Sheffield, C Bock - Nature methods, 2015 - nature.com
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is widely used to map
histone marks and transcription factor binding throughout the genome. Here we present …

[PDF][PDF] Single-cell DNA methylome sequencing and bioinformatic inference of epigenomic cell-state dynamics

M Farlik, NC Sheffield, A Nuzzo, P Datlinger… - Cell reports, 2015 - cell.com
Methods for single-cell genome and transcriptome sequencing have contributed to our
understanding of cellular heterogeneity, whereas methods for single-cell epigenomics are much …

LOLA: enrichment analysis for genomic region sets and regulatory elements in R and Bioconductor

NC Sheffield, C Bock - Bioinformatics, 2016 - academic.oup.com
Genomic datasets are often interpreted in the context of large-scale reference databases.
One approach is to identify significantly overlapping gene sets, which works well for gene-…

Predicting cell-type–specific gene expression from regions of open chromatin

A Natarajan, GG Yardımcı, NC Sheffield… - Genome …, 2012 - genome.cshlp.org
Complex patterns of cell-type–specific gene expression are thought to be achieved by
combinatorial binding of transcription factors (TFs) to sequence elements in regulatory regions. …

[HTML][HTML] Multimodal analysis of cell-free DNA whole-genome sequencing for pediatric cancers with low mutational burden

…, S Semper, M Chicard, NC Sheffield… - Nature …, 2021 - nature.com
Sequencing of cell-free DNA in the blood of cancer patients (liquid biopsy) provides
attractive opportunities for early diagnosis, assessment of treatment response, and minimally …

The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space

…, A Nemc, KH Nenning, J Furtner, NC Sheffield… - Nature medicine, 2018 - nature.com
Glioblastoma is characterized by widespread genetic and transcriptional heterogeneity, yet
little is known about the role of the epigenome in glioblastoma disease progression. Here, …

Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactions

NC Sheffield, RE Thurman, L Song, A Safi… - Genome …, 2013 - genome.cshlp.org
Regulatory elements recruit transcription factors that modulate gene expression distinctly
across cell types, but the relationships among these remains elusive. To address this, we …