Overall aim : Chemical exposures and their health effects

We focus on analyzing exposomics and metabolomics datasets in children's health, cancer, neurology and diabetes fields. We study how chemical exposures affect biological pathways in the human body and how those pathways can be linked with adverse phenotypes. We focus on chemical agents that have received high and medium priority by the National and International, governmental and research organizations. 

Funding: We are supported by several NIH grants - 

NIEHS Biomedical Knowledgebase - U24ES035386 (PIs Dinesh Barupal (contact) and Susan Teitelbaum)

NIEHS HHEAR program - U2CES026561 (PI Robert Wright), U2CES026555 (PI Susan Teitelbaum), U2CES030859 (PI Manish Arora)

NCATS CTSA - UL1TR004419 (PI Rosalind Wright)

NIEHS P30 -  P30ES023515  (PI Robert Wright)

NIEHS R35 - R35ES030435 (PI Manish Arora)

NIEHS R01s - ES033688 (PI Dania Valvi), ES032831 (PI Doug Walker)

main Technology aims

1) To prioritize chemicals using biomedical text mining and database fusion

We mine PubMed abstracts and PMC full-text data with text mining methods and combine several chemical databases to prioritize chemicals for exposome contexts.  

2) To develop tools for mapping, visualizing and interpreting dys-regulated metabolic networks in different biological contexts. 

Using biochemical and chemical relationships among chemicals, we map metabolic networks which can be used for identifying dys-regulated metabolic pathways and modules. 

3) To develop, integrate and implement software for advancing metabolomics data processing and analysis.

This workflow can be applied on any scale of data generated using a GCMS or LCMS techniques ( low and high both resolutions).