John A. Bernat

Dr. John A. Bernat

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 December 2005 in Genome Research
Verified
Journal Article
Open access
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GCGregory E. Crawford
Gregory E. Crawford
IHIngeborg E. Holt
Ingeborg E. Holt
JWJames Whittle
James Whittle
BWBryn D. Webb
Bryn D. Webb
DTDenise Tai
Denise Tai
FCFrancis S. Collins
Francis S. Collins
A major goal in genomics is to understand how genes are regulated in different tissues, stages of development, diseases, and species. Mapping DNase I hypersensitive (HS) sites within nuclear chromatin is a powerful and well-established method of identifying many different types of regulatory elements, but in the past it has been limited to analysis of single loci. We have recently described a protocol to generate a genome-wide library of DNase HS sites. Here, we report high-throughput analysis, using massively parallel signature sequencing (MPSS), of 230,000 tags from a DNase library generated from quiescent human CD4+ T cells. Of the tags that uniquely map to the genome, we identified 14,190 clusters of sequences that group within close proximity to each other. By using a real-time PCR strategy, we determined that the majority of these clusters represent valid DNase HS sites. Approximately 80% of these DNase HS sites uniquely map within one or more annotated regions of the genome believed to contain regulatory elements, including regions 2 kb upstream of genes, CpG islands, and highly conserved sequences. Most DNase HS sites identified in CD4+ T cells are also HS in CD8+ T cells, B cells, hepatocytes, human umbilical vein endothelial cells (HUVECs), and HeLa cells. However, ∼10% of the DNase HS sites are lymphocyte specific, indicating that this procedure can identify gene regulatory elements that control cell type specificity. This strategy, which can be applied to any cell line or tissue, will enable a better understanding of how chromatin structure dictates cell function and fate.

28 April 2003 in Nature Genetics
Verified
Journal Article
Closed access
BZBin Zhang
Bin Zhang
MCMichael A Cunningham
Michael A Cunningham
WNWilliam C Nichols
William C Nichols
JBJohn A. Bernat
John A. Bernat
USUri Seligsohn
Uri Seligsohn
DGDavid Ginsburg
David Ginsburg

31 July 2015 in American Journal of Medical Genetics Part A
Verified
Journal Article
Closed access
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KRKacie N. Riley
Kacie N. Riley
LCLisa M. Catalano
Lisa M. Catalano
JBJohn A. Bernat
John A. Bernat
SAStacie D. Adams
Stacie D. Adams
DMDonna M. Martin
Donna M. Martin
MRM. Katharine Rudd
M. Katharine Rudd

9 March 2022 in Molecular Genetics and Metabolism
Verified
Journal Article
Open access
BWBonnie and Neal Weinreb
Bonnie and Neal Weinreb
OGOzlem Goker-Alpan
Ozlem Goker-Alpan
PKPriya Kishnani
Priya Kishnani
NLNicola Longo
Nicola Longo
TBThomas Andrew Burrow
Thomas Andrew Burrow
Can FiciciogluCan Ficicioglu
Can Ficicioglu
Gaucher disease (GD) is an autosomal recessive inherited lysosomal storage disease that often presents in early childhood and is associated with damage to multiple organ systems. Many challenges associated with GD diagnosis and management arise from the considerable heterogeneity of disease presentations and natural history. Phenotypic classification has traditionally been based on the absence (in type 1 GD) or presence (in types 2 and 3 GD) of neurological involvement of varying severity. However, patient management and prediction of prognosis may be best served by a dynamic, evolving definition of individual phenotype rather than by a rigid system of classification. Patients may experience considerable delays in diagnosis, which can potentially be reduced by effective screening programs; however, program implementation can involve ethical and practical challenges. Variation in the clinical course of GD and an uncertain prognosis also complicate decisions concerning treatment initiation, with differing stakeholder perspectives around efficacy and acceptable cost/benefit ratio. We review the challenges faced by physicians in the diagnosis and management of GD in pediatric patients. We also consider future directions and goals, including acceleration of accurate diagnosis, improvements in the understanding of disease heterogeneity (natural history, response to treatment, and prognosis), the need for new treatments to address unmet needs for all forms of GD, and refinement of the tools for monitoring disease progression and treatment efficacy, such as specific biomarkers.

1 July 2017 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
CSCara M. Skraban
Cara M. Skraban
CWConstance F. Wells
Constance F. Wells
PMPreetha Markose
Preetha Markose
MCMegan T. Cho
Megan T. Cho
ANAddie I. Nesbitt
Addie I. Nesbitt
MDMatthew A. Deardorff
Matthew A. Deardorff

4 January 2018 in Genetics in Medicine
Verified
Journal Article
Closed access
PDF file
AMAmanda Moccia
Amanda Moccia
ASAnshika Srivastava
Anshika Srivastava
JSJennifer M. Skidmore
Jennifer M. Skidmore
JBJohn A. Bernat
John A. Bernat
MWMarsha Wheeler
Marsha Wheeler
SBStephanie L. Bielas
Stephanie L. Bielas