# Microsurgery Core

> **NIH NIH P01** · BRIGHAM AND WOMEN'S HOSPITAL · 2024 · $179,000

## Abstract

CORE C - SUMMARY/ABSTRACT
 Our multi-disciplinary team includes the expertise of transplant immunologists with a focus on T and B cell
immunity, aging, cellular senescence and immunosenescence. Microsurgical procedures need to be kept on
an expert, high level to assure reproducibility. Animal care, and surgical training are therefore a prerequisite
for reliable experimental readouts. Transplants in older animals come with additional challenges as those
animals are more sensitive to blood loss, length of surgery, and anesthesia. Current and ongoing expertise in
microsurgery will therefore be essential for the success of our project. The overall goals of this core are: 1.) to
perform transplant surgeries for all projects under this PPG; 2.) to coordinate experiments among projects and
maximize the use of biological samples; 3.) to store and archive extra human/mouse biological samples; 4.) to
provide support for additional interventions including recurrent blood collection, intravenous infusions of
antibodies, drugs, and FRC; 5.) to provide training to microsurgeons ensuring consistent technical skills even
during changes in personnel; 6.), to supervise all regulatory aspects including Institutional Review Board
compliance in addition to coordinating data and specimen acquisition and analysis by the different projects in
this proposal.

## Key facts

- **NIH application ID:** 10862423
- **Project number:** 1P01AI175397-01A1
- **Recipient organization:** BRIGHAM AND WOMEN'S HOSPITAL
- **Principal Investigator:** Stefan Gunther Tullius
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $179,000
- **Award type:** 1
- **Project period:** 2024-05-03 → 2029-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10862423

## Citation

> US National Institutes of Health, RePORTER application 10862423, Microsurgery Core (1P01AI175397-01A1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10862423. Licensed CC0.

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