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Researchers From Pitt Are Setting The Standard For A Google Maps Of Human Cells

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Digital maps on our smartphones have made it simpler than ever to get from point A to point B. We can map out a route to the grocery store, look up a hiking trail, or choose the ideal vacation spot with the swipe of a finger. Similar equipment will soon be available for biomedical researchers to easily explore the complex network of cells in the human body.

The Human BioMolecular Atlas Program, also known as HuBMAP, is an international group of scientists who are working together to create a comprehensive map of the human body’s healthy cells.

Once finished, the tool will be made freely available to clinical researchers and drug developers so they can use it to influence the creation of specialized medical treatments.

The concept behind HuBMAP is comparable to that of the Human Genome Project at the National Institutes of Health, which sequenced every gene in the human body. The enormous project, which was completed nearly 20 years ago, ignited a renaissance in clinical research and laid the foundation for cutting-edge approaches to gene-based therapies.

HuBMAP, however, digs deeper with the aim of mapping gene expression, proteins, metabolites, and other information in different types of cells across various organs and tissues as opposed to gathering genetic data at the organismal level.

Bioinformaticians from the University of Pittsburgh, the Pittsburgh Supercomputing Center (PSC), Carnegie Mellon University, and Stanford University are in charge of the subsequent step of transforming this enormous wealth of data into a user-friendly tool. The NIH recently renewed $20 million in funding for the teams to carry out these initiatives.

The team will begin a lengthy process of annotating enormous amounts of molecular-level data from thousands of tissue samples collected in more than 60 institutions across the nation. The team will be led by Silverstein, who is also the chief research informatics officer at Pitt and UPMC’s Institute for Precision Medicine, and PSC’s Scientific Director Phil Blood.

The resulting library of genetic and protein signatures of healthy cells is being shaped into a comprehensive map using a locally maintained and developed hybrid cloud infrastructure for data integration and software development.

The HuBMAP Computational Tools Component has created computational pipelines for processing these molecular datasets, enabling effective data integration across data types, tissues, and more. It is headed by Matthew Ruffalo of Carnegie Mellon’s Computational Biology Department.

The group is also working on initiatives to develop an atlas of aging and senescent cells (SenNet) and a framework for researching molecular breast cancer markers.

Pittsburgh is uniquely qualified to handle a complex task like HuBMAP due to its expertise in molecular biology and clinical data, as well as its experience managing research consortiums, in-depth understanding of software integration, and computing resources provided by the PSC.

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