Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Priti Hegde is active.

Publication


Featured researches published by Priti Hegde.


International Journal for Parasitology | 2000

The African trypanosome genome

Najib M. El-Sayed; Priti Hegde; John Quackenbush; Sara E. Melville; John E. Donelson

The haploid nuclear genome of the African trypanosome, Trypanosoma brucei, is about 35 Mb and varies in size among different trypanosome isolates by as much as 25%. The nuclear DNA of this diploid organism is distributed among three size classes of chromosomes: the megabase chromosomes of which there are at least 11 pairs ranging from 1 Mb to more than 6 Mb (numbered I-XI from smallest to largest); several intermediate chromosomes of 200-900 kb and uncertain ploidy; and about 100 linear minichromosomes of 50-150 kb. Size differences of as much as four-fold can occur, both between the two homologues of a megabase chromosome pair in a specific trypanosome isolate and among chromosome pairs in different isolates. The genomic DNA sequences determined to date indicated that about 50% of the genome is coding sequence. The chromosomal telomeres possess TTAGGG repeats and many, if not all, of the telomeres of the megabase and intermediate chromosomes are linked to expression sites for genes encoding variant surface glycoproteins (VSGs). The minichromosomes serve as repositories for VSG genes since some but not all of their telomeres are linked to unexpressed VSG genes. A gene discovery program, based on sequencing the ends of cloned genomic DNA fragments, has generated more than 20 Mb of discontinuous single-pass genomic sequence data during the past year, and the complete sequences of chromosomes I and II (about 1 Mb each) in T. brucei GUTat 10.1 are currently being determined. It is anticipated that the entire genomic sequence of this organism will be known in a few years. Analysis of a test microarray of 400 cDNAs and small random genomic DNA fragments probed with RNAs from two developmental stages of T. brucei demonstrates that the microarray technology can be used to identify batteries of genes differentially expressed during the various life cycle stages of this parasite.


Nature Genetics | 1999

Identification of genes involved in colon cancer metastasis using cDNA microarrays

Priti Hegde; Julie Earle-Hughes; Kristie Abernathy; Sonia Dharap; Alexander I. Saeed; Vasily Sharov; Norman H. Lee; Timothy J. Yeatman; John Quackenbush

50 population is required. To examine the ability of GMS to map genetic traits on a genome-wide scale, we performed selections for regions of IBD between multiple parent/segregant pairs of Saccharomyces cerevisiae to define candidate regions for loci of single and multigenic traits. DNA recovered from GMS of reciprocal parent/segregant pairs was amplified, differentially labelled with fluorescent probes and hybridised to microarrays containing all known yeast open reading frames. The degree of selection for regions of IBD was sufficient to allow determination of the parental genotype for approximately 85% of all open reading frames within the genome of each segregant based on a threshold ratio of 1.25. Our study results demonstrated that GMS was able to identify correct regions of the genome for all single gene traits examined. We were also able to identify two candidate regions for a multigenic trait predicted to result from the inheritance of two alleles.


BioTechniques | 2000

A Concise Guide to cDNA Microarray Analysis

Priti Hegde; Qi R; Kristie Abernathy; Sonia Dharap; Renee Gaspard; Hughes Je; Erik Snesrud; Norman H. Lee; John Quackenbush


Cancer Research | 2001

Identification of Tumor Markers in Models of Human Colorectal Cancer Using a 19,200-Element Complementary DNA Microarray

Priti Hegde; Rong Qi; Renee Gaspard; Kristie Abernathy; Sonia Dharap; Julie Earle-Hughes; Nnenna U. Nwokekeh; Tingan Chen; Alexander I. Saeed; Vasily Sharov; Norman H. Lee; Timothy J. Yeatman; John Quackenbush


Applied Immunohistochemistry & Molecular Morphology | 2018

Development of a PD-L1 Complementary Diagnostic Immunohistochemistry Assay (SP142) for Atezolizumab

Bharathi Vennapusa; Brian Baker; Marcin Kowanetz; Jennifer Boone; Ina Menzl; Jean-Marie Bruey; Gregg Fine; Sanjeev Mariathasan; Ian McCaffery; Simonetta Mocci; Sandra Rost; Dustin Smith; Eslie Dennis; Szu-Yu Tang; Bita Damadzadeh; Espen Walker; Priti Hegde; J. Andrew Williams; Hartmut Koeppen; Zachary Boyd


Cancer Research | 2018

Abstract 5707: On-treatment changes in CRP as a surrogate for overall survival for atezolizumab benefit in 2ndline NSCLC

Namrata S. Patil; Wei Zou; Simonetta Mocci; Vinita Gupta; Luciana Molinero; Alan Sandler; Marcus Ballinger; Susan Flynn; Marcin Kowanetz; Priti Hegde


Cancer Research | 2018

Abstract 2979: A balance of genomic instability, tumor-immune contexture and TGF-β signaling contributing to exclusion of T cells governs response to PD-L1 checkpoint blockade

Sanjeev Mariathasan; Shannon J. Turley; Dorothee Nickles; Alessandra Castiglioni; Kobe Yuen; Yulei Wang; Edward E. Kadel; Hartmut Koeppen; Jillian L. Astarita; Rafael Cubas; Suchit Jhunjhunwala; Yagai Yang; Yasin Şenbabaoğlu; Ira Mellman; Daniel S. Chen; Priti Hegde; Richard Bourgon; Thomas Powles


Cancer Research | 2018

Abstract 2616: Baseline blood lymphocytes are associated with improved clinical outcome in atezolizumab-treated patients across multiple indications

Yijin Li; Ching-Wei Chang; Marcella Fasso; Carol O'Hear; Priti Hegde; Luciana Molinero


Archive | 2017

Stromal gene signatures for diagnosis and use in immunotherapy

Priti Hegde; Luciana Molinero; Sanjeev Mariathasan; Shannon J. Turley; Jillian L. Astarita; Rafael Cubas; Yagai Yang


Archive | 2016

Méthodes diagnostiques et thérapeutiques pour le cancer

Priti Hegde; Marcin Kowanetz; Gregg Fine; Sanjeev Mariathasan; Richard Bourgon

Collaboration


Dive into the Priti Hegde's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Norman H. Lee

George Washington University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Garret M. Hampton

Genomics Institute of the Novartis Research Foundation

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge