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1.
Bioinformatics ; 39(5)2023 05 04.
Article in English | MEDLINE | ID: mdl-37140547

ABSTRACT

SUMMARY: ProteinPaint BAM track (ppBAM) is designed to assist variant review for cancer research and clinical genomics. With performant server-side computing and rendering, ppBAM supports on-the-fly variant genotyping of thousands of reads using Smith-Waterman alignment. To better visualize support for complex variants, reads are realigned against the mutated reference sequence using ClustalO. ppBAM also supports the BAM slicing API of the NCI Genomic Data Commons (GDC) portal, letting researchers conveniently examine genomic details of vast amounts of cancer sequencing data and reinterpret variant calls. AVAILABILITY AND IMPLEMENTATION: BAM track examples, tutorial, and GDC file access links are available at https://proteinpaint.stjude.org/bam/. Source code is available at https://github.com/stjude/proteinpaint.


Subject(s)
Genomics , Software , Sequence Analysis, DNA , Genotype , Sequence Alignment , High-Throughput Nucleotide Sequencing
2.
Dev Biol ; 419(1): 99-113, 2016 11 01.
Article in English | MEDLINE | ID: mdl-27451296

ABSTRACT

Patterning of a multicellular body plan involves a coordinated set of developmental processes that includes cell division, morphogenesis, and cellular differentiation. These processes have been most intensively studied in animals and land plants; however, deep insight can also be gained by studying development in simpler multicellular organisms. The multicellular green alga Volvox carteri (Volvox) is an excellent model for the investigation of developmental mechanisms and their evolutionary origins. Volvox has a streamlined body plan that contains only a few thousand cells and two distinct cell types: reproductive germ cells and terminally differentiated somatic cells. Patterning of the Volvox body plan is achieved through a stereotyped developmental program that includes embryonic cleavage with asymmetric cell division, morphogenesis, and cell-type differentiation. In this review we provide an overview of how these three developmental processes give rise to the adult form in Volvox and how developmental mutants have provided insights into the mechanisms behind these events. We highlight the accessibility and tractability of Volvox and its relatives that provide a unique opportunity for studying development.


Subject(s)
Models, Biological , Volvox/cytology , Cell Cycle , Cell Lineage , Cell Size , Cellular Senescence , Morphogenesis , Mutation , Phylogeny , Reproduction, Asexual , Seeds , Volvox/genetics , Volvox/physiology
3.
Comput Struct Biotechnol J ; 23: 3467-3471, 2024 Dec.
Article in English | MEDLINE | ID: mdl-39430404

ABSTRACT

The ProteinPaint Hi-C tool (ppHiC) facilitates web-based visualization and collaborative exploration of Hi-C data, a vital resource for understanding three-dimensional genomic structures. ppHiC allows researchers to easily analyze large Hi-C datasets on a web browser without requiring the computational expertise that has heretofore limited access to this complex genomic data. The platform is compatible with multiple Hi-C data versions and boasts a highly customizable interface, including a configuration panel for the precise adjustment of key visualization parameters. The tool's interactive features offer a broad range of views, from whole-genome landscapes to detailed interactions between pairs of loci, that are accessible within a single, integrated environment. Here, we demonstrate how using ppHiC to visualize an altered chromatin conformational landscape in neuroblastoma can inform understanding of the genomic rearrangements in this cancer.

4.
Cancer Discov ; 14(8): 1403-1417, 2024 Aug 02.
Article in English | MEDLINE | ID: mdl-38593228

ABSTRACT

Childhood cancer survivorship studies generate comprehensive datasets comprising demographic, diagnosis, treatment, outcome, and genomic data from survivors. To broadly share this data, we created the St. Jude Survivorship Portal (https://survivorship.stjude.cloud), the first data portal for sharing, analyzing, and visualizing pediatric cancer survivorship data. More than 1,600 phenotypic variables and 400 million genetic variants from more than 7,700 childhood cancer survivors can be explored on this free, open-access portal. Summary statistics of variables are computed on-the-fly and visualized through interactive and customizable charts. Survivor cohorts can be customized and/or divided into groups for comparative analysis. Users can also seamlessly perform cumulative incidence and regression analyses on the stored survivorship data. Using the portal, we explored the ototoxic effects of platinum-based chemotherapy, uncovered a novel association between mental health, age, and limb amputation, and discovered a novel haplotype in MAGI3 strongly associated with cardiomyopathy specifically in survivors of African ancestry. Significance: The St. Jude Survivorship Portal is the first data portal designed to share and explore clinical and genetic data from childhood cancer survivors. The portal provides both open- and controlled-access features and will fulfill a wide range of data sharing needs of the survivorship research community and beyond. See co-corresponding author Xin Zhou discuss this research article, published simultaneously at the AACR Annual Meeting 2024: https://vimeo.com/932617204/7d99fa4958.


Subject(s)
Cancer Survivors , Genomics , Neoplasms , Humans , Child , Genomics/methods , Neoplasms/genetics , Information Dissemination , Male , Female , Adolescent , Survivorship
5.
Nat Genet ; 52(10): 1132, 2020 Oct.
Article in English | MEDLINE | ID: mdl-32939076

ABSTRACT

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

6.
G3 (Bethesda) ; 8(2): 531-550, 2018 02 02.
Article in English | MEDLINE | ID: mdl-29208647

ABSTRACT

Germ-soma differentiation is a hallmark of complex multicellular organisms, yet its origins are not well understood. Volvox carteri is a simple multicellular green alga that has recently evolved a simple germ-soma dichotomy with only two cell-types: large germ cells called gonidia and small terminally differentiated somatic cells. Here, we provide a comprehensive characterization of the gonidial and somatic transcriptomes of V. carteri to uncover fundamental differences between the molecular and metabolic programming of these cell-types. We found extensive transcriptome differentiation between cell-types, with somatic cells expressing a more specialized program overrepresented in younger, lineage-specific genes, and gonidial cells expressing a more generalist program overrepresented in more ancient genes that shared striking overlap with stem cell-specific genes from animals and land plants. Directed analyses of different pathways revealed a strong dichotomy between cell-types with gonidial cells expressing growth-related genes and somatic cells expressing an altruistic metabolic program geared toward the assembly of flagella, which support organismal motility, and the conversion of storage carbon to sugars, which act as donors for production of extracellular matrix (ECM) glycoproteins whose secretion enables massive organismal expansion. V. carteri orthologs of diurnally controlled genes from C. reinhardtii, a single-celled relative, were analyzed for cell-type distribution and found to be strongly partitioned, with expression of dark-phase genes overrepresented in somatic cells and light-phase genes overrepresented in gonidial cells- a result that is consistent with cell-type programs in V. carteri arising by cooption of temporal regulons in a unicellular ancestor. Together, our findings reveal fundamental molecular, metabolic, and evolutionary mechanisms that underlie the origins of germ-soma differentiation in V. carteri and provide a template for understanding the acquisition of germ-soma differentiation in other multicellular lineages.


Subject(s)
Cell Differentiation/genetics , Evolution, Molecular , Gene Expression Profiling , Volvox/genetics , Algal Proteins/classification , Algal Proteins/genetics , Energy Metabolism/genetics , Gene Ontology , Light-Harvesting Protein Complexes/classification , Light-Harvesting Protein Complexes/genetics , Phylogeny , Volvox/cytology , Volvox/metabolism
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