# CORE 3: Bioinformatics

> **NIH NIH P01** · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · 2021 · $266,688

## Abstract

SUMMARY CORE 3 
The goal of Bioinformatics core is to provide data management and bioinformatics support in a 
timely and efficient manner. The core will process, and analyze the data derived from P01 projects 
and provide bioinformatics support and expertise to the projects. We propose 3 objectives. The 
first objective will be to provide management, storage and sharing of the data. We will build a 
database to allow researchers to select samples and data tailored to specific questions. The 
database will be used as a platform for data analysis and integration. The second objective is to 
provide analytical support for the first 3 research projects. We will help to identify drivers 
mutations associated with melanoma progression. We will also provide a comprehensive 
extended (upstream regulators and downstream targets) annotation of the top hits (project 1). 
Whole genome methylation analysis (project 2) is expected, like all other research projects, to 
generate multiple hits across multiple regions. We developed powerful analytical tool that allows 
identification of the set of transcription factors whose downstream effects will be impeded by 
abnormal methylation. We will also provide bioinformatics support for gene expression analysis 
(project 3). We will construct regulatory network of the genes differentially expressed in long- 
term (>5 years) versus short-term (<5 years) bad survivors. We will provide comprehensive 
annotations of differentially expressed genes with the goal of the identification of molecular 
pathways associated with metastatic progression. Our third objective will be to provide 
bioinformatics support for data integration (project 4). We see two levels of integration: 
integration between the projects of the P01 and integration with the data and results generated 
outside if the P01. The first level of integration will be based on the assumption that melanoma 
progression is driven by a modulation of a single or a few biological functions and those 
functions can be modified by different mechanisms: germline and somatic mutations, 
modulation of the gene expression through genetic and somatic polymorphisms, methylation, 
and environmental exposures. We expect to find a stronger overlap between the results 
generated by different projects on the level of biological functions than on the gene level. 
Melanoma has been a hot research area and a lot of data and results related to the melanoma 
progression have been generated. We will combine the data generated by this P01 with TCGA, 
GEO, GTEx, ONCOMINE, Human Protein Atlas and other public sources. Using data from 
outside sources will allow us to test and refine key findings from this P01.

## Key facts

- **NIH application ID:** 10188455
- **Project number:** 5P01CA206980-05
- **Recipient organization:** UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR
- **Principal Investigator:** IVAN P GORLOV
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $266,688
- **Award type:** 5
- **Project period:** 2017-06-01 → 2023-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10188455

## Citation

> US National Institutes of Health, RePORTER application 10188455, CORE 3: Bioinformatics (5P01CA206980-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10188455. Licensed CC0.

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