# Core B: Advanced Proteomic Phenotyping Core

> **NIH NIH P01** · STANFORD UNIVERSITY · 2020 · $170,640

## Abstract

A significant problem in the study of complex biologic phenomena or human disease is the management and
comparison of large and disparate datasets. Biological and clinical measurements of signaling processes or
disease progression are tied to experimental design. But single measurements of phenotypes are often insuffi-
cient to provide the level of detail necessary to understand the biological complexity. Often investigators resort
to several independent measurements and then attempt to correlate outcomes to either prove a hypothesis or
generate a new one. The problem is compounded by the advent of technologies capable of generating ultra-
large datasets containing multiple parameters per measurement. The investigators must employ and under-
stand statistical regimes that allow verifiable claims to be made on a single dataset.
Since its first application to characterize the human immune continuum in healthy bone marrow by the Nolan
Laboratory at Stanford, high dimensional single cell mass cytometry (CyTOF) has proven over and over again
to be a technology that can provide a systems-level view of the immune system in health and disease. This
unprecedented level of detail has identified mechanistic readouts that may otherwise have been missed, in a
variety of disease settings. Many of these readouts are now incorporated in several validation studies. The Ad-
vanced Proteomic Phenotyping Core under the directorship of Dr. Garry Nolan and Associate directorship of
Dr. Wendy Fantl will provide mass cytometry to the three projects comprising this TPPG and in so doing, pro-
vide a systems-level view of PAH not ever seen before. CyTOF will complement the other platforms being
used by the Projects that span studies about the basic biology of PAH all the way through to clinical trials with
Elafin, an elastase inhibitor and immune modulator shown to have extremely promising pre-clinical results.
Currently, CyTOF provides simultaneous measurements of up to 50 parameters per single cell. While this in
itself allows one to uncover new facets about a disease, it becomes clear that more parameters are needed.
Thus part of the Core's activities are to continue to develop new reagents to make this possible as well as to
develop new technologies. For the latter, the Nolan Laboratory has developed a new single cell fluorescent-
detection multiplexing imaging platform called antibody sequencing (ABSeq) that uses DNA bar-coded antibod-
ies and in theory has no limit on the number of parameters that can be measured. Clearly, the value of this im-
aging platform will be its application to characterize lung slides from PAH patients and correlate the findings
with the CyTOF studies performed with blood samples and with multiplexed ion based imaging (MIBI) used in
Projects 1 and 2. .A main component of this proposal is to provide the Projects with currently available soft-
ware, developed by the Nolan Laboratory to analyze high-dimensional single-cell datasets as well as s...

## Key facts

- **NIH application ID:** 9970520
- **Project number:** 5P01HL108797-09
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** GARRY P NOLAN
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $170,640
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9970520

## Citation

> US National Institutes of Health, RePORTER application 9970520, Core B: Advanced Proteomic Phenotyping Core (5P01HL108797-09). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9970520. Licensed CC0.

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