Ingmar Riedel-Kruse
- Professor, Molecular and Cellular Biology
- Professor, Biomedical Engineering
- Member of the Graduate Faculty
Contact
- (520) 621-6097
- Life Sciences South, Rm. 552
- Tucson, AZ 85721
- ingmar@arizona.edu
Interests
Teaching
https://riedel-kruse.arizona.edu/
Research
https://riedel-kruse.arizona.edu/
Courses
2024-25 Courses
-
Directed Rsrch
MCB 392 (Spring 2025) -
Foundations Multicellular Life
MCB 195M (Spring 2025) -
Foundations Synthetic Biology
MCB 489 (Spring 2025) -
Foundations Synthetic Biology
MCB 589 (Spring 2025) -
Dissertation
MCB 920 (Fall 2024) -
Honors Thesis
MCB 498H (Fall 2024)
2023-24 Courses
-
Dissertation
MCB 920 (Spring 2024) -
Foundations Multicellular Life
MCB 195M (Spring 2024) -
Genetic & Molecular Networks
MCB 546 (Spring 2024) -
Honors Independent Study
MCB 399H (Spring 2024) -
Lab Presentations & Discussion
MCB 696A (Spring 2024) -
Master's Report
ABS 909 (Spring 2024) -
Research
MATH 900 (Spring 2024) -
Cell Systems
MCB 572A (Fall 2023) -
Independent Study
APPL 599 (Fall 2023) -
Lab Presentations & Discussion
MCB 696A (Fall 2023) -
Master's Report
ABS 909 (Fall 2023) -
Research
MCB 900 (Fall 2023) -
Rsrch Meth Biomed Engr
BME 592 (Fall 2023)
2022-23 Courses
-
Dissertation
BME 920 (Spring 2023) -
Foundations Multicellular Life
MCB 195M (Spring 2023) -
Genetic & Molecular Networks
MCB 546 (Spring 2023) -
Research
MCB 900 (Spring 2023) -
Directed Research
MCB 792 (Fall 2022) -
Dissertation
BME 920 (Fall 2022) -
Lab Presentations & Discussion
MCB 696A (Fall 2022) -
Research
MCB 900 (Fall 2022)
2021-22 Courses
-
Directed Research
MCB 792 (Spring 2022) -
Dissertation
BME 920 (Spring 2022) -
Genetic & Molecular Networks
MCB 546 (Spring 2022) -
Honors Thesis
BIOC 498H (Spring 2022) -
MCB Journal Club
MCB 595 (Spring 2022) -
Directed Research
MCB 792 (Fall 2021) -
Dissertation
BME 920 (Fall 2021) -
Honors Thesis
BIOC 498H (Fall 2021) -
Rsrch Meth Biomed Engr
BME 592 (Fall 2021)
2020-21 Courses
-
Genetic & Molecular Networks
MCB 546 (Spring 2021) -
Independent Study
PHYS 599 (Spring 2021) -
Research
MCB 900 (Spring 2021) -
Thesis
MCB 910 (Spring 2021) -
Independent Study
PHYS 599 (Fall 2020) -
Thesis
MCB 910 (Fall 2020)
2019-20 Courses
-
Directed Research
MCB 792 (Spring 2020) -
Genetic & Molecular Networks
MCB 546 (Spring 2020) -
Honors Independent Study
MCB 399H (Spring 2020) -
Independent Study
PHYS 599 (Spring 2020) -
Research
BME 900 (Spring 2020) -
Honors Independent Study
MCB 499H (Fall 2019) -
Rsrch Meth Biomed Engr
BME 597G (Fall 2019)
Scholarly Contributions
Journals/Publications
- Riedel-Kruse, I. H., Dunkel, J., Stuart, B. A., Hamby, A. E., Glass, D. S., Skinner, D. J., & Kim, H. (2022). 4-bit adhesion logic enables universal multicellular interface patterning. Nature. doi:10.1038/s41586-022-04944-2More infoAbstract Multicellular systems, from bacterial biofilms to human organs, form interfaces (or boundaries) between different cell collectives to spatially organize versatile functions 1,2 . The evolution of sufficiently descriptive genetic toolkits probably triggered the explosion of complex multicellular life and patterning 3,4 . Synthetic biology aims to engineer multicellular systems for practical applications and to serve as a build-to-understand methodology for natural systems 5–8 . However, our ability to engineer multicellular interface patterns 2,9 is still very limited, as synthetic cell–cell adhesion toolkits and suitable patterning algorithms are underdeveloped 5,7,10–13 . Here we introduce a synthetic cell–cell adhesin logic with swarming bacteria and establish the precise engineering, predictive modelling and algorithmic programming of multicellular interface patterns. We demonstrate interface generation through a swarming adhesion mechanism, quantitative control over interface geometry and adhesion-mediated analogues of developmental organizers and morphogen fields. Using tiling and four-colour-mapping concepts, we identify algorithms for creating universal target patterns. This synthetic 4-bit adhesion logic advances practical applications such as human-readable molecular diagnostics, spatial fluid control on biological surfaces and programmable self-growing materials 5–8,14 . Notably, a minimal set of just four adhesins represents 4 bits of information that suffice to program universal tessellation patterns, implying a low critical threshold for the evolution and engineering of complex multicellular systems 3,5 .
- Riedel-Kruse, I. (2021). Nonlinear delay differential equations and their application to modeling biological networks. Nature Communications.
- Riedel-Kruse, I. (2021). Scientific Inquiry in Middle Schools by combining Computational Thinking, Wet Lab Experiments, and Liquid Handling Robots. Proceedings of the 20th ACM Conference on Interaction Design and Children, 444.
- Kim, H., Jin, X., Glass, D. S., & Riedel-Kruse, I. H. (2020). Engineering and modeling of multicellular morphologies and patterns. Current opinion in genetics & development, 63, 95--102.
- Lam, A., Griffin, J., Loeun, M., Nate, C., Lee, S. A., & Riedel-Kruse, I. (2020). Pac-Euglena: A living cellular Pac-Man meets virtual ghosts. Proceedings of the 38rd Annual ACM Conference on Human Factors in Computing Systems.
- Lam, A. T., Ma, J., Barr, C., Lee, S. A., White, A. K., Yu, K., & Riedel-Kruse, I. H. (2019). First-hand, immersive full-body experiences with living cells through interactive museum exhibits (vol 37, pg 1238, 2019). NATURE BIOTECHNOLOGY, 37(12), 1521-1521.
- Rackus, D. G., Riedel-Kruse, I. H., & Pamme, N. (2019). "Learning on a chip:" Microfluidics for formal and informal science education. BIOMICROFLUIDICS, 13(4).
- Cira, N. J., Chung, A. M., Denisin, A. K., Sanchez, G. N., Quake, S. R., Riedel-kruse, I. H., & Rensi, S. E. (2015). A biotic game design project for integrated life science and engineering education.. PLoS biology, 13(3), e1002110. doi:10.1371/journal.pbio.1002110More infoEngaging, hands-on design experiences are key for formal and informal Science, Technology, Engineering, and Mathematics (STEM) education. Robotic and video game design challenges have been particularly effective in stimulating student interest, but equivalent experiences for the life sciences are not as developed. Here we present the concept of a "biotic game design project" to motivate student learning at the interface of life sciences and device engineering (as part of a cornerstone bioengineering devices course). We provide all course material and also present efforts in adapting the project's complexity to serve other time frames, age groups, learning focuses, and budgets. Students self-reported that they found the biotic game project fun and motivating, resulting in increased effort. Hence this type of design project could generate excitement and educational impact similar to robotics and video games.
- Kim, H., Riedel-kruse, I. H., & Lee, S. A. (2015). A biotic video game smart phone kit for formal and informal biophysics education. Bulletin of the American Physical Society, 2015.
- Ma, R., Klindt, G. S., Riedel-kruse, I. H., Julicher, F., & Friedrich, B. M. (2014). Active phase and amplitude fluctuations of flagellar beating.. Physical review letters, 113(4), 048101. doi:10.1103/physrevlett.113.048101More infoThe eukaryotic flagellum beats periodically, driven by the oscillatory dynamics of molecular motors, to propel cells and pump fluids. Small but perceivable fluctuations in the beat of individual flagella have physiological implications for synchronization in collections of flagella as well as for hydrodynamic interactions between flagellated swimmers. Here, we characterize phase and amplitude fluctuations of flagellar bending waves using shape mode analysis and limit-cycle reconstruction. We report a quality factor of flagellar oscillations Q = 38.0 ± 16.7 (mean ± s.e.). Our analysis shows that flagellar fluctuations are dominantly of active origin. Using a minimal model of collective motor oscillations, we demonstrate how the stochastic dynamics of individual motors can give rise to active small-number fluctuations in motor-cytoskeleton systems.