Understanding Shigella flexneri and Its Impact on Human Cells
An in-depth look at Shigella flexneri's effects on host cells and immune response.
― 6 min read
Table of Contents
- The Role of Septins
- Heterogeneity in Bacterial Infection
- Using Microscopy to Study Infection
- Observations During Infection
- Impacts on DNA and Protein Synthesis
- Deep Learning in Identifying Bacteria Interactions
- Morphological Diversity of Septin Recruitment
- Activity of S. flexneri Associated with Septins
- Conclusion
- Original Source
- Reference Links
Shigella flexneri is a type of bacteria that can cause a disease known as bacillary dysentery. This disease affects the intestines and can lead to severe diarrhea, often blood-stained. Each year, it results in the deaths of over 150,000 people worldwide, with young children in lower-income countries being the most affected. When a person consumes a small amount of this bacteria, it quickly begins to grow in their gut.
To invade human cells, S. flexneri uses a system called the Type 3 Secretion System. This system acts like a needle, allowing the bacteria to inject substances into the host cells. These substances help the bacteria to grow, and also protect them from the body's immune system. Once inside the host cells, the bacteria can break out of their protective bubbles and move around, using parts of the host cell's structure to spread to nearby cells.
The Role of Septins
Septins are proteins found in human cells that play various roles, including helping cells divide and forming structures that support cell shape. They are highly conserved, meaning they have remained similar across many species over millions of years. Septins can form rings and bundles and are important for many cellular processes, especially during infections.
When bacteria invade cells, septins form structures around the bacteria. These structures help the body to trap and fight the bacteria. For S. flexneri, septins gather in specific areas and can surround the bacteria, forming a barrier that slows down their movement.
Heterogeneity in Bacterial Infection
Normally, when bacteria infect cells, it is assumed that the process is uniform and well-organized. However, studies reveal that there is a lot of variation among the bacteria and the cells they infect. Different groups of bacteria can behave differently inside the same cell, and how these bacteria interact with the immune system can vary.
Research indicates that different bacteria can occupy distinct areas within a host cell and can trigger various immune responses. This diversity can influence how effectively the bacteria can get nutrients, resist antibiotics, or trigger different reactions in the host cell. It is essential to study these differences to learn more about how infections happen.
Using Microscopy to Study Infection
To better understand the infection process caused by S. flexneri, advanced microscopy techniques are used. High-content microscopy allows researchers to capture numerous high-resolution images, providing a detailed view of both the bacteria and the host cells during the infection.
This method enables scientists to analyze many aspects of the host and bacteria, such as their shapes, how much DNA and proteins they are making, and the activity of the Type 3 Secretion System. By using automated image analysis, researchers can quickly gather and interpret data from thousands of images.
Observations During Infection
When studying HeLa cells infected with S. flexneri, researchers found that around 11.5% of the cells were infected within just over three hours. Infected cells showed various levels of bacterial presence, reflecting how the infection spreads.
As bacteria grow inside host cells, they influence their environment. The distance from the bacteria to the center of the host cell decreased with increasing bacterial numbers, indicating that as bacteria multiply, they occupy more central areas of the cell.
In addition, infected cells exhibited changes in size, with both cellular and nuclear areas increasing significantly. This growth depended on the number of bacteria present, suggesting that the infection process prompts host cells to alter their shape and size.
Impacts on DNA and Protein Synthesis
To gain insights into how S. flexneri affects host cell functions, researchers looked at DNA and protein creation in the cells. Using specific chemical markers, they were able to track DNA replication and protein synthesis.
Surprisingly, even though a similar proportion of uninfected and infected cells were in a phase of DNA synthesis, the amount of DNA being produced in infected cells was noticeably lower. This finding suggests that S. flexneri does indeed slow down the normal functions of host cells.
Similarly, when evaluating protein synthesis, a decrease was noticed in infected cells compared to uninfected ones. This reduction might be due to cellular stress caused by the infection, signaling that the cells struggle to maintain their normal operations when invaded by bacteria.
Deep Learning in Identifying Bacteria Interactions
To better study how S. flexneri interacts with septins within cells, a deep learning approach was developed. This technology uses advanced algorithms to automatically identify and classify interactions between bacteria and septin structures, making the process quicker and reducing human error.
Two main classification tasks were set up. The first determined whether the bacteria were isolated or clumped together. The second classified whether isolated bacteria were interacting with septin structures or not. This automated analysis made it possible to assess a vast number of bacteria quickly.
Morphological Diversity of Septin Recruitment
When examining how septins surround S. flexneri, researchers noticed a variety of shapes in the septin structures. The most common shape was a ring that completely encircled the bacteria. Other forms included less tight associations around the bacteria or recruitment to only one part of the bacterial surface.
Understanding these different septin structures is crucial, as they may indicate various stages of interaction between the bacteria and the immune response. Knowing the shapes and structures helps clarify how the immune system might be fighting the bacteria.
Activity of S. flexneri Associated with Septins
To determine if the S. flexneri that were interacting with septins were active, researchers used specific markers indicating the bacteria's metabolic state. This analysis showed that bacteria associated with septins had higher levels of DNA synthesis and protein production compared to those that were not associated with septins.
Furthermore, the activity of the Type 3 Secretion System was higher in bacteria that had septin associations. This suggests that septins specifically target actively pathogenic bacteria, reinforcing their role as a defensive mechanism against infections.
Conclusion
The complexity and variability of bacterial infections highlight the need for thorough research into how such pathogens interact with human cells. By employing advanced imaging techniques and deep learning analysis, scientists can capture the unique characteristics of infections at unprecedented levels.
The observations made regarding S. flexneri and its effects on host cells reveal a significant understanding of how infections alter cell functions. These studies are vital for developing effective therapeutic strategies against bacterial infections.
Future research can apply these techniques to explore interactions between different bacterial species and the immune system, potentially leading to breakthroughs in infection treatment. Ultimately, understanding these complex interactions could pave the way for better weapons in fighting bacterial diseases.
Title: High-content high-resolution microscopy and deep learning assisted analysis reveals host and bacterial heterogeneity during Shigella infection
Abstract: Shigella flexneri is a Gram-negative bacterial pathogen and causative agent of bacillary dysentery. S. flexneri is closely related to Escherichia coli but harbors a virulence plasmid that encodes a Type III Secretion System (T3SS) required for host cell invasion. Widely recognized as a paradigm for research in cellular microbiology, S. flexneri has emerged as important to study mechanisms of cell-autonomous immunity, including septin cage entrapment. Here we use high-content high-resolution microscopy to monitor the dynamic and heterogeneous S. flexneri infection process by assessing multiple host and bacterial parameters (DNA replication, protein translation, T3SS activity). In the case of infected host cells, we report a reduction in DNA and protein synthesis together with morphological changes that suggest S. flexneri can induce cell-cycle arrest. We developed an artificial intelligence image analysis approach using Convolutional Neural Networks to reliably quantify, in an automated and unbiased manner, the recruitment of SEPT7 to intracellular bacteria. We discover that heterogeneous SEPT7 assemblies are recuited to actively pathogenic bacteria with increased T3SS activation. Our automated microscopy workflow is useful to illuminate host and bacterial dynamics at the single-cell and population level, and to fully characterise the intracellular microenvironment controlling the S. flexneri infection process.
Authors: Serge Mostowy, A. T. Lopez-Jimenez, D. Brokatzky, K. Pillay, T. Williams, G. Özbaykal Güler
Last Update: 2024-03-08 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2024.03.06.583762
Source PDF: https://www.biorxiv.org/content/10.1101/2024.03.06.583762.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
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