# Using Deep RNA Sequencing to Assess Antibody Response to Infection

> **NIH NIH P20** · MIRIAM HOSPITAL · 2022 · $64,613

## Abstract

Sepsis is a global health problem and is defined as organ dysfunction as a result of an altered immune 
response to an infection. With such a large burden of mortality worldwide, better diagnostics and 
treatments are necessary for this disease. This application will focus on monitoring the immune response 
during severe infections that lead to sepsis. Current clinical practices rely on traditional blood culture to 
assess infections and immunoglobulin activity. Here we propose to use deep RNA sequencing as a 
means to evaluate the mechanism of immunosuppression in sepsis patients as a result of severe infection 
over time to better characterize immunosuppression in sepsis patients, allowing clinicians to more 
effectively treat antimicrobial resistant infections.

## Key facts

- **NIH application ID:** 11059514
- **Project number:** 5P20GM121344-05
- **Recipient organization:** MIRIAM HOSPITAL
- **Principal Investigator:** Alger M Fredericks
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $64,613
- **Award type:** 5
- **Project period:** 2024-01-24 → 2024-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11059514

## Citation

> US National Institutes of Health, RePORTER application 11059514, Using Deep RNA Sequencing to Assess Antibody Response to Infection (5P20GM121344-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/11059514. Licensed CC0.

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