Spatially Resolved Transcriptomes-Next Generation Tools for Tissue Exploration.

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• Spatially resolved transcriptomics (SRT) has emerged as a powerful tool for understanding complex multicellular biological systems.
• Recent years have seen rapid expansion in SRT technologies, aiming to map gene expression within its spatial context.
• These diverse methodologies offer unique advantages but also present method-specific limitations.

Purpose of the Study:

• To review and compare available spatial transcriptomics technologies.
• To discuss the strengths and weaknesses of various SRT methods.
• To explore future directions and challenges in the field.

Main Methods:

• Review of existing literature on spatial transcriptomics techniques.
• Comparative analysis of different SRT platforms based on their underlying principles.
• Discussion of applications and limitations of current methods.

Main Results:

• SRT methods vary significantly in their technical approaches, leading to distinct advantages and disadvantages.
• Key challenges remain, including sensitivity, labor intensity, tissue-type dependency, and resolution of single-cell information.
• No single current method comprehensively addresses all critical parameters.

Conclusions:

• The field of spatial transcriptomics is rapidly evolving with diverse technologies.
• Addressing current limitations is crucial for advancing biological discoveries.
• Future developments will likely focus on improving sensitivity, efficiency, and single-cell resolution in spatial gene expression analysis.