RNA Structure: Past, Future, and Gene Therapy Applications DOI Open Access
William A. Haseltine,

Kim Hazel,

Roberto Patarca

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 26(1), P. 110 - 110

Published: Dec. 26, 2024

First believed to be a simple intermediary between the information encoded in deoxyribonucleic acid and that functionally displayed proteins, ribonucleic (RNA) is now known have many functions through its abundance intricate, ubiquitous, diverse, dynamic structure. About 70–90% of human genome transcribed into protein-coding noncoding RNAs as main determinants along with regulatory sequences cellular populational biological diversity. From nucleotide sequence or primary structure, Watson–Crick pairing self-folding secondary compaction via longer distance non-Watson–Crick interactions tertiary RNA other biopolymers quaternary metabolites biomolecules quinary structure plays critical role RNA’s lifecycle from transcription decay processes. In contrast success 3-dimensional protein prediction using AlphaFold, beyond structures remains challenging. However, approaches involving machine learning artificial intelligence, sequencing modifications, structural analyses at single-cell intact tissue levels, among others, provide an optimistic outlook for continued development refinement RNA-based applications. Here, we highlight those gene therapy.

Language: Английский

Deep-tissue transcriptomics and subcellular imaging at high spatial resolution DOI
Valentina Gandin, Jun Kim,

Liang-Zhong Yang

et al.

Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Limited color channels in fluorescence microscopy have long constrained spatial analysis biological specimens. Here, we introduce cycle Hybridization Chain Reaction (HCR), a method that integrates multicycle DNA barcoding with HCR to overcome this limitation. cycleHCR enables highly multiplexed imaging of RNA and proteins using unified barcode system. Whole-embryo transcriptomics achieved precise three-dimensional gene expression cell fate mapping across specimen depth ~310 μm. When combined expansion microscopy, revealed an intricate network 10 subcellular structures mouse embryonic fibroblasts. In hippocampal slices, multiplex protein uncovered complex gradients cell-type-specific nuclear structural variations. provides quantitative framework for elucidating regulation deep tissue contexts research potentially diagnostic applications.

Language: Английский

Citations

0
Advances in Spatial Omics Technologies DOI
Tianqian Hui, Jian Zhou,

Ming Yao

et al.

Small Methods, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Abstract Rapidly developing spatial omics technologies provide us with new approaches to deeply understanding the diversity and functions of cell types within organisms. Unlike traditional approaches, enable researchers dissect complex relationships between tissue structure function at cellular or even subcellular level. The application provides perspectives on key biological processes such as nervous system development, organ tumor microenvironment. This review focuses advancements strategies technologies, summarizes their applications in biomedical research, highlights power advancing life sciences related development disease.

Language: Английский

Citations

0
RNA Structure: Past, Future, and Gene Therapy Applications DOI Open Access
William A. Haseltine,

Kim Hazel,

Roberto Patarca

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 26(1), P. 110 - 110

Published: Dec. 26, 2024

First believed to be a simple intermediary between the information encoded in deoxyribonucleic acid and that functionally displayed proteins, ribonucleic (RNA) is now known have many functions through its abundance intricate, ubiquitous, diverse, dynamic structure. About 70–90% of human genome transcribed into protein-coding noncoding RNAs as main determinants along with regulatory sequences cellular populational biological diversity. From nucleotide sequence or primary structure, Watson–Crick pairing self-folding secondary compaction via longer distance non-Watson–Crick interactions tertiary RNA other biopolymers quaternary metabolites biomolecules quinary structure plays critical role RNA’s lifecycle from transcription decay processes. In contrast success 3-dimensional protein prediction using AlphaFold, beyond structures remains challenging. However, approaches involving machine learning artificial intelligence, sequencing modifications, structural analyses at single-cell intact tissue levels, among others, provide an optimistic outlook for continued development refinement RNA-based applications. Here, we highlight those gene therapy.

Language: Английский

Citations

1