Selected Grantee Publications
Spatiotemporal Image Reconstruction to Enable High-Frame-Rate Dynamic Photoacoustic Tomography With Rotating-Gantry Volumetric Imagers
Cam et al., Journal of Biomedical Optics . 2024.
https://pubmed.ncbi.nlm.nih.gov/38249994
Dynamic photoacoustic computed tomography (PACT) is a valuable imaging technique for monitoring physiological processes. However, the current imaging techniques are often limited to two-dimensional spatial imaging. While PACT imagers capable of taking three-dimensional spatial images are commercially available, these systems have substantial limitations. Typically, the data are acquired sequentially rather than simultaneously at all views. The objects being imaged are dynamic and can vary during this process; as such, image reconstruction is inherently difficult, and the result is often incomplete. Cam et al. propose an image reconstruction method that can address these challenges and enable volumetric dynamic PACT imaging using existing preclinical imagers, which has the potential to significantly advance preclinical research and facilitate the monitoring of critical physiological biomarkers. Supported by ORIP (R44OD023029) and NIBIB.
Synthetic Protein Circuits for Programmable Control of Mammalian Cell Death
Xia et al., Cell. 2024.
https://pubmed.ncbi.nlm.nih.gov/38657604/
Natural cell-death pathways have been shown to eliminate harmful cells and shape immunity. Researchers used synthetic protein-level cell-death circuits, collectively termed “synpoptosis” circuits, to proteolytically regulate engineered executioner proteins and mammalian cell death. They show that the circuits direct cell death modes, respond to combinations of protease inputs, and selectively eliminate target cells. This work provides a foundation for programmable control of mammalian cell death. Future studies could focus on programmable control of cell death in various contexts, including cancer, senescence, fibrosis, autoimmunity, and infection. Supported by ORIP (F30OD036190) and NIBIB.
Time of Sample Collection Is Critical for the Replicability of Microbiome Analyses
Allaband et al., Nature Metabolism. 2024.
https://pubmed.ncbi.nlm.nih.gov/38951660/
Lack of replicability remains a challenge in microbiome studies. As the microbiome field moves from descriptive and associative research to mechanistic and interventional studies, being able to account for all confounding variables in the experimental design will be critical. Researchers conducted a retrospective analysis of 16S amplicon sequencing studies in male mice. They report that sample collection time affects the conclusions drawn from microbiome studies. The lack of consistency in the time of sample collection could help explain poor cross-study replicability in microbiome research. The effect of diurnal rhythms on the outcomes and study designs of other fields is unknown but is likely significant. Supported by ORIP (T32OD017863), NCATS, NCI, NHLBI, NIAAA, NIAID, NIBIB, NIDDK, and NIGMS.
Gigapixel Imaging With a Novel Multi-Camera Array Microscope
Thomson et al., eLife. 2022.
https://www.doi.org/10.7554/eLife.74988
The dynamics of living organisms are organized across many spatial scales. The investigators created assembled a scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution, large field-of-view recording from multiple spatial scales simultaneously, ranging from structures that approach the cellular scale to large-group behavioral dynamics. By collecting data from up to 96 cameras, they computationally generated gigapixel-scale images and movies with a field of view over hundreds of square centimeters at an optical resolution of 18 µm. This system allows the team to observe the behavior and fine anatomical features of numerous freely moving model organisms on multiple spatial scales (e.g., larval zebrafish, fruit flies, slime mold). Overall, by removing the bottlenecks imposed by single-camera image acquisition systems, the MCAM provides a powerful platform for investigating detailed biological features and behavioral processes of small model organisms. Supported by ORIP (R44OD024879), NIEHS, NCI, and NIBIB.
Profiling Development of Abdominal Organs in the Pig
Gabriel et al., Scientific Reports. 2022.
https://www.doi.org/10.1038/s41598-022-19960-5
The pig is a model system for studying human development and disease due to its similarities to human anatomy, physiology, size, and genome. Moreover, advances in CRISPR gene editing have made genetically engineered pigs a viable model for the study of human pathologies and congenital anomalies. However, a detailed atlas illustrating pig development is necessary for identifying and modeling developmental defects. Here, the authors describe normal development of the pig abdominal system (i.e., kidney, liver, pancreas, spleen, adrenal glands, bowel, gonads) and compare them with congenital defects that can arise in gene-edited SAP130 mutant pigs. This atlas and the methods described here can be used as tools for identifying developmental pathologies of the abdominal organs in the pig at different stages of development. Supported by ORIP (U42OD011140), NHLBI, NIAID, NIBIB, NICHD, and NINDS.