Opportunities and challenges for deep learning in cell dynamics research
Trends Cell Biol. 2023 Nov 21:S0962-8924(23)00228-3. doi: 10.1016/j.tcb.2023.10.010. Online ahead of print.ABSTRACTThe growth of artificial intelligence (AI) has led to an increase in the adoption of computer vision and deep learning (DL) techniques for the evaluation of microscopy images and movies. This adoption has not only addressed hurdles in quantitative analysis of dynamic cell biological processes but has also started to support advances in drug development, precision medicine, and genome-phenome mapping. We survey existing AI-based techniques and tools, as well as open-source datasets, with a specific focus on the...
Source: Trends in Cell Biology - November 29, 2023 Category: Cytology Authors: Binghao Chai Christoforos Efstathiou Haoran Yue Viji M Draviam Source Type: research
Metabolic immunity against microbes
Trends Cell Biol. 2023 Nov 28:S0962-8924(23)00231-3. doi: 10.1016/j.tcb.2023.10.013. Online ahead of print.ABSTRACTPathogens, including viruses, bacteria, fungi, and parasites, remodel the metabolism of their host to acquire the nutrients they need to proliferate. Thus, host cells are often perceived as mere exploitable nutrient pools during infection. Mounting reports challenge this perception and instead suggest that host cells can actively reprogram their metabolism to the detriment of the microbial invader. In this review, we present metabolic mechanisms that host cells use to defend against pathogens. We highlight the...
Source: Trends in Cell Biology - November 29, 2023 Category: Cytology Authors: Sebastian Kreimendahl Lena Pernas Source Type: research
Opportunities and challenges for deep learning in cell dynamics research
Trends Cell Biol. 2023 Nov 21:S0962-8924(23)00228-3. doi: 10.1016/j.tcb.2023.10.010. Online ahead of print.ABSTRACTThe growth of artificial intelligence (AI) has led to an increase in the adoption of computer vision and deep learning (DL) techniques for the evaluation of microscopy images and movies. This adoption has not only addressed hurdles in quantitative analysis of dynamic cell biological processes but has also started to support advances in drug development, precision medicine, and genome-phenome mapping. We survey existing AI-based techniques and tools, as well as open-source datasets, with a specific focus on the...
Source: Trends in Cell Biology - November 29, 2023 Category: Cytology Authors: Binghao Chai Christoforos Efstathiou Haoran Yue Viji M Draviam Source Type: research
Metabolic immunity against microbes
Trends Cell Biol. 2023 Nov 28:S0962-8924(23)00231-3. doi: 10.1016/j.tcb.2023.10.013. Online ahead of print.ABSTRACTPathogens, including viruses, bacteria, fungi, and parasites, remodel the metabolism of their host to acquire the nutrients they need to proliferate. Thus, host cells are often perceived as mere exploitable nutrient pools during infection. Mounting reports challenge this perception and instead suggest that host cells can actively reprogram their metabolism to the detriment of the microbial invader. In this review, we present metabolic mechanisms that host cells use to defend against pathogens. We highlight the...
Source: Trends in Cell Biology - November 29, 2023 Category: Cytology Authors: Sebastian Kreimendahl Lena Pernas Source Type: research
Opportunities and challenges for deep learning in cell dynamics research
Trends Cell Biol. 2023 Nov 21:S0962-8924(23)00228-3. doi: 10.1016/j.tcb.2023.10.010. Online ahead of print.ABSTRACTThe growth of artificial intelligence (AI) has led to an increase in the adoption of computer vision and deep learning (DL) techniques for the evaluation of microscopy images and movies. This adoption has not only addressed hurdles in quantitative analysis of dynamic cell biological processes but has also started to support advances in drug development, precision medicine, and genome-phenome mapping. We survey existing AI-based techniques and tools, as well as open-source datasets, with a specific focus on the...
Source: Trends in Cell Biology - November 29, 2023 Category: Cytology Authors: Binghao Chai Christoforos Efstathiou Haoran Yue Viji M Draviam Source Type: research
Metabolic immunity against microbes
Trends Cell Biol. 2023 Nov 28:S0962-8924(23)00231-3. doi: 10.1016/j.tcb.2023.10.013. Online ahead of print.ABSTRACTPathogens, including viruses, bacteria, fungi, and parasites, remodel the metabolism of their host to acquire the nutrients they need to proliferate. Thus, host cells are often perceived as mere exploitable nutrient pools during infection. Mounting reports challenge this perception and instead suggest that host cells can actively reprogram their metabolism to the detriment of the microbial invader. In this review, we present metabolic mechanisms that host cells use to defend against pathogens. We highlight the...
Source: Trends in Cell Biology - November 29, 2023 Category: Cytology Authors: Sebastian Kreimendahl Lena Pernas Source Type: research
Opportunities and challenges for deep learning in cell dynamics research
Trends Cell Biol. 2023 Nov 21:S0962-8924(23)00228-3. doi: 10.1016/j.tcb.2023.10.010. Online ahead of print.ABSTRACTThe growth of artificial intelligence (AI) has led to an increase in the adoption of computer vision and deep learning (DL) techniques for the evaluation of microscopy images and movies. This adoption has not only addressed hurdles in quantitative analysis of dynamic cell biological processes but has also started to support advances in drug development, precision medicine, and genome-phenome mapping. We survey existing AI-based techniques and tools, as well as open-source datasets, with a specific focus on the...
Source: Trends in Cell Biology - November 29, 2023 Category: Cytology Authors: Binghao Chai Christoforos Efstathiou Haoran Yue Viji M Draviam Source Type: research
Metabolic immunity against microbes
Trends Cell Biol. 2023 Nov 28:S0962-8924(23)00231-3. doi: 10.1016/j.tcb.2023.10.013. Online ahead of print.ABSTRACTPathogens, including viruses, bacteria, fungi, and parasites, remodel the metabolism of their host to acquire the nutrients they need to proliferate. Thus, host cells are often perceived as mere exploitable nutrient pools during infection. Mounting reports challenge this perception and instead suggest that host cells can actively reprogram their metabolism to the detriment of the microbial invader. In this review, we present metabolic mechanisms that host cells use to defend against pathogens. We highlight the...
Source: Trends in Cell Biology - November 29, 2023 Category: Cytology Authors: Sebastian Kreimendahl Lena Pernas Source Type: research
Opportunities and challenges for deep learning in cell dynamics research
Trends Cell Biol. 2023 Nov 21:S0962-8924(23)00228-3. doi: 10.1016/j.tcb.2023.10.010. Online ahead of print.ABSTRACTThe growth of artificial intelligence (AI) has led to an increase in the adoption of computer vision and deep learning (DL) techniques for the evaluation of microscopy images and movies. This adoption has not only addressed hurdles in quantitative analysis of dynamic cell biological processes but has also started to support advances in drug development, precision medicine, and genome-phenome mapping. We survey existing AI-based techniques and tools, as well as open-source datasets, with a specific focus on the...
Source: Trends in Cell Biology - November 29, 2023 Category: Cytology Authors: Binghao Chai Christoforos Efstathiou Haoran Yue Viji M Draviam Source Type: research
Olfaction: an emerging regulator of longevity and metabolism
Trends Cell Biol. 2023 Nov 25:S0962-8924(23)00234-9. doi: 10.1016/j.tcb.2023.11.001. Online ahead of print.ABSTRACTAgeing is a malleable process influenced by the environment. Recent research reveals that neurons interact with peripheral organs to regulate metabolism and longevity by responding to olfactory cues through specific pathways, such as the unfolded protein response (UPR) and microRNAs. Here, we examine the significance of these findings.PMID:38008607 | DOI:10.1016/j.tcb.2023.11.001 (Source: Trends in Cell Biology)
Source: Trends in Cell Biology - November 26, 2023 Category: Cytology Authors: Maximillian A Thompson Evandro A De-Souza Source Type: research
Cutting through the stress: RNA decay pathways at the endoplasmic reticulum
Trends Cell Biol. 2023 Nov 25:S0962-8924(23)00236-2. doi: 10.1016/j.tcb.2023.11.003. Online ahead of print.ABSTRACTThe endoplasmic reticulum (ER) is central to the processing of luminal, transmembrane, and secretory proteins, and maintaining a functional ER is essential for organismal physiology and health. Increased protein-folding load on the ER causes ER stress, which activates quality control mechanisms to restore ER function and protein homeostasis. Beyond protein quality control, mRNA decay pathways have emerged as potent ER fidelity regulators, but their mechanistic roles in ER quality control and their interrelatio...
Source: Trends in Cell Biology - November 26, 2023 Category: Cytology Authors: Franziska Ottens Sotirios Efstathiou Thorsten Hoppe Source Type: research
Olfaction: an emerging regulator of longevity and metabolism
Trends Cell Biol. 2023 Nov 25:S0962-8924(23)00234-9. doi: 10.1016/j.tcb.2023.11.001. Online ahead of print.ABSTRACTAgeing is a malleable process influenced by the environment. Recent research reveals that neurons interact with peripheral organs to regulate metabolism and longevity by responding to olfactory cues through specific pathways, such as the unfolded protein response (UPR) and microRNAs. Here, we examine the significance of these findings.PMID:38008607 | DOI:10.1016/j.tcb.2023.11.001 (Source: Trends in Cell Biology)
Source: Trends in Cell Biology - November 26, 2023 Category: Cytology Authors: Maximillian A Thompson Evandro A De-Souza Source Type: research
Cutting through the stress: RNA decay pathways at the endoplasmic reticulum
Trends Cell Biol. 2023 Nov 25:S0962-8924(23)00236-2. doi: 10.1016/j.tcb.2023.11.003. Online ahead of print.ABSTRACTThe endoplasmic reticulum (ER) is central to the processing of luminal, transmembrane, and secretory proteins, and maintaining a functional ER is essential for organismal physiology and health. Increased protein-folding load on the ER causes ER stress, which activates quality control mechanisms to restore ER function and protein homeostasis. Beyond protein quality control, mRNA decay pathways have emerged as potent ER fidelity regulators, but their mechanistic roles in ER quality control and their interrelatio...
Source: Trends in Cell Biology - November 26, 2023 Category: Cytology Authors: Franziska Ottens Sotirios Efstathiou Thorsten Hoppe Source Type: research
Olfaction: an emerging regulator of longevity and metabolism
Trends Cell Biol. 2023 Nov 25:S0962-8924(23)00234-9. doi: 10.1016/j.tcb.2023.11.001. Online ahead of print.ABSTRACTAgeing is a malleable process influenced by the environment. Recent research reveals that neurons interact with peripheral organs to regulate metabolism and longevity by responding to olfactory cues through specific pathways, such as the unfolded protein response (UPR) and microRNAs. Here, we examine the significance of these findings.PMID:38008607 | DOI:10.1016/j.tcb.2023.11.001 (Source: Trends in Cell Biology)
Source: Trends in Cell Biology - November 26, 2023 Category: Cytology Authors: Maximillian A Thompson Evandro A De-Souza Source Type: research
Cutting through the stress: RNA decay pathways at the endoplasmic reticulum
Trends Cell Biol. 2023 Nov 25:S0962-8924(23)00236-2. doi: 10.1016/j.tcb.2023.11.003. Online ahead of print.ABSTRACTThe endoplasmic reticulum (ER) is central to the processing of luminal, transmembrane, and secretory proteins, and maintaining a functional ER is essential for organismal physiology and health. Increased protein-folding load on the ER causes ER stress, which activates quality control mechanisms to restore ER function and protein homeostasis. Beyond protein quality control, mRNA decay pathways have emerged as potent ER fidelity regulators, but their mechanistic roles in ER quality control and their interrelatio...
Source: Trends in Cell Biology - November 26, 2023 Category: Cytology Authors: Franziska Ottens Sotirios Efstathiou Thorsten Hoppe Source Type: research
