1
|
Gibbs JR, Mei C, Wunderlich Z. Beyond the heat shock pathway: Heat stress responses in Drosophila development. Dev Biol 2025; 518:53-60. [PMID: 39557149 PMCID: PMC11703687 DOI: 10.1016/j.ydbio.2024.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 11/08/2024] [Accepted: 11/11/2024] [Indexed: 11/20/2024]
Abstract
Heat stress has broad effects on an organism and is an inevitable part of life. Embryos face a particular challenge when faced with heat stress - the intricate molecular processes that pattern the embryo can all be affected by heat, and the embryo lacks some of the strategies that adults can use to manage or avoid heat stress. We use Drosophila melanogaster as a model, as insects are capable of developing normally under a wide range of temperatures and are exposed to daily temperature swings as they develop. Research has focused on the heat shock pathway and the transcription of heat shock proteins as the main response to heat and heat damage. This review explores embryonic heat responses beyond the heat shock pathway. We examine the effects of heat from a biochemical standpoint, as well as highlighting other mechanisms of heat stress regulation, such as miRNA activity or other signaling pathways. We discuss how different elements of the heat stress response must be coordinated across the embryo to enable development under a wide range of temperatures. Studying heat stress in Drosophila melanogaster can be a powerful lens into how developmental systems ensure robustness to environmental factors.
Collapse
Affiliation(s)
- Julia R Gibbs
- Department of Biology, Biological Design Center, Boston University, Boston, MA, 02215, USA
| | - Christian Mei
- Department of Biology, Biological Design Center, Boston University, Boston, MA, 02215, USA
| | - Zeba Wunderlich
- Department of Biology, Biological Design Center, Boston University, Boston, MA, 02215, USA.
| |
Collapse
|
2
|
Hong J, He H, Xu Y, Wang S, Luo C. An integrative temperature-controlled microfluidic system for budding yeast heat shock response analysis at the single-cell level. LAB ON A CHIP 2024; 24:3658-3667. [PMID: 38915274 DOI: 10.1039/d4lc00313f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Cells can respond and adapt to complex forms of environmental change. Budding yeast is widely used as a model system for these stress response studies. In these studies, the precise control of the environment with high temporal resolution is most important. However, there is a lack of single-cell research platforms that enable precise control of the temperature and form of cell growth. This has hindered our understanding of cellular coping strategies in the face of diverse forms of temperature change. Here, we developed a novel temperature-controlled microfluidic platform that integrates a microheater (using liquid metal) and a thermocouple (liquid metal vs. conductive PDMS) on a chip. Three forms of temperature changes (step, gradient, and periodical oscillations) were realized by automated equipment. The platform has the advantages of low cost and a simple fabrication process. Moreover, we investigated the nuclear entry and exit behaviors of the transcription factor Msn2 in yeast in response to heat stress (37 °C) with different heating modes. The feasibility of this temperature-controlled platform for studying the protein dynamic behavior of yeast cells was demonstrated.
Collapse
Affiliation(s)
- Jie Hong
- The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, China.
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Hao He
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, China
| | - Yinjia Xu
- The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, China.
| | - Shujing Wang
- The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, China.
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Chunxiong Luo
- The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, China.
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, China
| |
Collapse
|
3
|
Sonmez UM, Frey N, LeDuc PR, Minden JS. Fly Me to the Micron: Microtechnologies for Drosophila Research. Annu Rev Biomed Eng 2024; 26:441-473. [PMID: 38959386 DOI: 10.1146/annurev-bioeng-050423-054647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
Multicellular model organisms, such as Drosophila melanogaster (fruit fly), are frequently used in a myriad of biological research studies due to their biological significance and global standardization. However, traditional tools used in these studies generally require manual handling, subjective phenotyping, and bulk treatment of the organisms, resulting in laborious experimental protocols with limited accuracy. Advancements in microtechnology over the course of the last two decades have allowed researchers to develop automated, high-throughput, and multifunctional experimental tools that enable novel experimental paradigms that would not be possible otherwise. We discuss recent advances in microtechnological systems developed for small model organisms using D. melanogaster as an example. We critically analyze the state of the field by comparing the systems produced for different applications. Additionally, we suggest design guidelines, operational tips, and new research directions based on the technical and knowledge gaps in the literature. This review aims to foster interdisciplinary work by helping engineers to familiarize themselves with model organisms while presenting the most recent advances in microengineering strategies to biologists.
Collapse
Affiliation(s)
- Utku M Sonmez
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;
- Current affiliation: Department of Neuroscience, Scripps Research, San Diego, California, USA
- Current affiliation: Department of NanoEngineering, University of California San Diego, La Jolla, California, USA
| | - Nolan Frey
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;
| | - Philip R LeDuc
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;
- Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - Jonathan S Minden
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA;
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| |
Collapse
|
4
|
Zhu H, Shen W, Luo C, Liu F. An integrated microfluidic device for multiplexed imaging of spatial gene expression patterns of Drosophila embryos. LAB ON A CHIP 2022; 22:4081-4092. [PMID: 36165088 DOI: 10.1039/d2lc00514j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
To reveal the underlying mechanism of the biological function of multicellular systems, it is important to obtain comprehensive spatial gene expression profiles. Among the emerging single-cell spatial-omics techniques, immunofluorescence (IF)-based iterative multiplexed imaging is a promising approach. However, the conventional method is usually costly, time-consuming, labor-intensive, and has low throughput. Moreover, it has yet to be demonstrated in intact multicellular organisms. Here, we developed an integrated microfluidic system to overcome these challenges for quantitatively measuring multiple protein profiles sequentially in situ in the same Drosophila embryo. We designed an array of hydrodynamic trapping sites to automatically capture over ten Drosophila embryos with orientation selectivity at more than 90% trapping rates. We also optimized the geometry of confinement and the on-chip IF protocol to achieve the same high signal-to-noise ratio as the off-chip traditional IF experiments. Moreover, we developed an efficient de-staining protocol by combining on-chip antibody stripping and fluorophore bleaching. Using the same secondary antibody to sequentially stain different genes, we confirmed that the de-stained genes have no detectable interference with the subsequently stained genes, and the gene expression profiles are preserved after multiple cycles of staining and de-staining processes. This preliminary test shows that our newly developed integrated microfluidic system can be a powerful tool for multiplexed imaging of Drosophila embryos. Our work opens a new avenue to design microfluidic chips for multicellular organisms and single-cell spatial-omics techniques.
Collapse
Affiliation(s)
- Hongcun Zhu
- The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, 100871, China.
| | - Wenting Shen
- Center for Quantitative Biology, Peking University, Beijing, 100871, China.
| | - Chunxiong Luo
- The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, 100871, China.
- Center for Quantitative Biology, Peking University, Beijing, 100871, China.
- Wenzhou Institute University of Chinese Academy of Sciences, Wenzhou, Zhejiang, China
| | - Feng Liu
- Center for Quantitative Biology, Peking University, Beijing, 100871, China.
- Key Laboratory of Hebei Province for Molecular Biophysics, Institute of Biophysics, School of Health Science & Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, China
| |
Collapse
|
5
|
Iber D, Vetter R. Relationship between epithelial organization and morphogen interpretation. Curr Opin Genet Dev 2022; 75:101916. [PMID: 35605527 DOI: 10.1016/j.gde.2022.101916] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 04/10/2022] [Accepted: 04/22/2022] [Indexed: 11/18/2022]
Abstract
Despite molecular noise and genetic differences between individuals, developmental outcomes are remarkably constant. Decades of research has focused on the underlying mechanisms that ensure this precision and robustness. Recent quantifications of chemical gradients and epithelial cell shapes provide novel insights into the basis of precise development. In this review, we argue that these two aspects may be linked in epithelial morphogenesis.
Collapse
Affiliation(s)
- Dagmar Iber
- Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland; Swiss Institute of Bioinformatics, Mattenstrasse 26, 4058 Basel, Switzerland.
| | - Roman Vetter
- Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland; Swiss Institute of Bioinformatics, Mattenstrasse 26, 4058 Basel, Switzerland
| |
Collapse
|
6
|
The early Drosophila embryo as a model system for quantitative biology. Cells Dev 2021; 168:203722. [PMID: 34298230 DOI: 10.1016/j.cdev.2021.203722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 06/03/2021] [Accepted: 07/13/2021] [Indexed: 11/20/2022]
Abstract
With the rise of new tools, from controlled genetic manipulations and optogenetics to improved microscopy, it is now possible to make clear, quantitative and reproducible measurements of biological processes. The humble fruit fly Drosophila melanogaster, with its ease of genetic manipulation combined with excellent imaging accessibility, has become a major model system for performing quantitative in vivo measurements. Such measurements are driving a new wave of interest from physicists and engineers, who are developing a range of testable dynamic models of active systems to understand fundamental biological processes. The reproducibility of the early Drosophila embryo has been crucial for understanding how biological systems are robust to unavoidable noise during development. Insights from quantitative in vivo experiments in the Drosophila embryo are having an impact on our understanding of critical biological processes, such as how cells make decisions and how complex tissue shape emerges. Here, to highlight the power of using Drosophila embryogenesis for quantitative biology, I focus on three main areas: (1) formation and robustness of morphogen gradients; (2) how gene regulatory networks ensure precise boundary formation; and (3) how mechanical interactions drive packing and tissue folding. I further discuss how such data has driven advances in modelling.
Collapse
|