Current life science is shifting from the point of observing isolated processes in living organisms, to an extensive effort of a comprehensive understanding of the whole system or even study of similarities and differences between different systems at a complex level. One of the key game-changing approaches developed in the last decade is single-cell RNA sequencing (scRNA-seq). Recent advances in methodology and techniques have for the first time allowed us to capture and interrogate cell by cell differences with unprecedented granularity and resolution.
Just a few years ago scRNA-seq was a revolutionary method which only a few labs were utilizing. Now, as the technology develops, together with an increase in accessibility, the number of researchers using this technique is growing rapidly and scRNA-seq is becoming increasingly common in different fields including the orofacial & dental field.
With scRNA-seq, we are now able to understand different processes leading to proper development and homeostasis in a healthy oral cavity, and also to explore what is happening during spontaneous or induced pathologies, enabling us to understand the real etiology of such conditions.
Our understanding of tooth development, regeneration, and function cannot be complete without the study of different non-human or even non-mammalian systems. Connecting data obtained from mouse or other mammal, reptile, bird or fish models and non-model organisms with human dentition can then provide extremely valuable information which can reveal possible targets for the future of the regenerative dentistry field, or at least can fulfill our curiosity.
The number of studies using scRNA-seq has increased greatly, along with the quality of data processing. We therefore want to present an article collection focusing on advances in dental research using single-cell transcriptomic data.
This Research Topic aims to present a set of manuscripts that will show the general tendency of the dental field by addressing ambitious scientific questions, presenting the latest research, and show how a cutting edge technology is being used to revolutionize our understanding of the underlying biology.
Finally, data captured by scRNA-seq have become so complex that to an extent unprocessed data is barely understandable and advanced processing by skilled computer scientists is essential. One of the goals of this Research Topic will therefore be to focus on the new approaches of data processing specifically for the dental field.
This Research Topic welcomes original research articles, reviews, methodological papers, or other types of manuscripts. The scope of manuscripts should be focused on the scRNA-seq or this approach should be one of the techniques used, and may include (but is not limited to) the following fields:
• Regenerative dentistry
• Tooth development
• Reparative or regenerative dentinogenesis
• Comparative inter-species studies
• Data acquisition and processing
• Dental biology and homeostasis
• Stem cells and differentiation
• Pulp biology
• Periodontics
>Please note that the above Research Topic image was created using BioRender.com
Current life science is shifting from the point of observing isolated processes in living organisms, to an extensive effort of a comprehensive understanding of the whole system or even study of similarities and differences between different systems at a complex level. One of the key game-changing approaches developed in the last decade is single-cell RNA sequencing (scRNA-seq). Recent advances in methodology and techniques have for the first time allowed us to capture and interrogate cell by cell differences with unprecedented granularity and resolution.
Just a few years ago scRNA-seq was a revolutionary method which only a few labs were utilizing. Now, as the technology develops, together with an increase in accessibility, the number of researchers using this technique is growing rapidly and scRNA-seq is becoming increasingly common in different fields including the orofacial & dental field.
With scRNA-seq, we are now able to understand different processes leading to proper development and homeostasis in a healthy oral cavity, and also to explore what is happening during spontaneous or induced pathologies, enabling us to understand the real etiology of such conditions.
Our understanding of tooth development, regeneration, and function cannot be complete without the study of different non-human or even non-mammalian systems. Connecting data obtained from mouse or other mammal, reptile, bird or fish models and non-model organisms with human dentition can then provide extremely valuable information which can reveal possible targets for the future of the regenerative dentistry field, or at least can fulfill our curiosity.
The number of studies using scRNA-seq has increased greatly, along with the quality of data processing. We therefore want to present an article collection focusing on advances in dental research using single-cell transcriptomic data.
This Research Topic aims to present a set of manuscripts that will show the general tendency of the dental field by addressing ambitious scientific questions, presenting the latest research, and show how a cutting edge technology is being used to revolutionize our understanding of the underlying biology.
Finally, data captured by scRNA-seq have become so complex that to an extent unprocessed data is barely understandable and advanced processing by skilled computer scientists is essential. One of the goals of this Research Topic will therefore be to focus on the new approaches of data processing specifically for the dental field.
This Research Topic welcomes original research articles, reviews, methodological papers, or other types of manuscripts. The scope of manuscripts should be focused on the scRNA-seq or this approach should be one of the techniques used, and may include (but is not limited to) the following fields:
• Regenerative dentistry
• Tooth development
• Reparative or regenerative dentinogenesis
• Comparative inter-species studies
• Data acquisition and processing
• Dental biology and homeostasis
• Stem cells and differentiation
• Pulp biology
• Periodontics
>Please note that the above Research Topic image was created using BioRender.com
