#transcriptomics

[bpod-bpod]

Abreast with Cells

Characterisation of the 12 cell types that make up the human breast by profiling their gene activity (transcriptome). This analysis provides a resource which both distinguishes them and reveals the biological processes in which they participate

Read the published research article here

Image from work by Katelyn Del Toro and Rosalyn Sayaman, and colleagues

Department of Biochemistry and Molecular Biology, University of New Mexico School of Medicine, University of New Mexico, Albuquerque, NM, USA

Image originally published with a Creative Commons Attribution 4.0 International (CC BY 4.0)

Published in PLOS Biology, November 2024

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PTSD and OUD Transcriptomics

Diagram of an experiment of trnascriptomics in the brain diferentiang PTSD, OUD and comorbidity

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PTSD and OUD Transcriptomics

Diagram of an experiment of trnascriptomics in the brain diferentiang PTSD, OUD and comorbidity

[imgtoxai408]

PTSD and OUD Transcriptomics

Diagram of an experiment of trnascriptomics in the brain diferentiang PTSD, OUD and comorbidity

[imgtoxai406]

PTSD and OUD Transcriptomics

Diagram of an experiment of trnascriptomics in the brain diferentiang PTSD, OUD and comorbidity

[imgtoxai333]

PTSD and OUD Transcriptomics

Diagram of an experiment of trnascriptomics in the brain diferentiang PTSD, OUD and comorbidity

[imgtoxai330]

PTSD and OUD Transcriptomics

Diagram of an experiment of trnascriptomics in the brain diferentiang PTSD, OUD and comorbidity

[imgtoxai327]

PTSD and OUD Transcriptomics

Diagram of an experiment of trnascriptomics in the brain diferentiang PTSD, OUD and comorbidity

[imgtoxai328]

PTSD and OUD Transcriptomics

Diagram of an experiment of trnascriptomics in the brain diferentiang PTSD, OUD and comorbidity

[johniac]

SciTech Chronicles. . . . . . . . .April 2nd, 2025

[bpod-bpod]

More Than Immunity

As skin develops before birth it's rich in innate (a first response, rather than an adapting form of defence) immune cells, including macrophages. By creating a reference atlas of pre-natal human skin (7–17 weeks post-conception), combining single-cell and spatial transcriptomics (locating active genes) data, this study finds that macrophages play a role beyond providing immunity, driving the development of vessels in the skin

Read the published research article here

Still from video from work by Nusayhah Hudaa Gopee, Elena Winheim and Bayanne Olabi, and colleagues

Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK

Video originally published with a Creative Commons Attribution – NonCommercial – NoDerivs (CC BY-NC-ND 4.0)

Published in Nature, October 2024

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RNA Analysis/Transcriptomics Market - Forecast(2024 - 2030)

Transcriptomics/RNA analysis can be defined as the study of the transcriptome or the complete set of RNA transcripts which are produced by the genome, under specific circumstances, environment or in a specific cell - using high-throughput methods, such as microarray analysis. Globally increasing R&D activities in RNA sequencing and trascriptomics is expected to remain key growth driver for the RNA analysis market during the period of study.

[visionresearchreport]

The spatial transcriptomics market is experiencing a significant surge driven by advancements in technology and increasing applications across various research domains. This innovative approach allows researchers to visualize gene expression within the context of tissue morphology, providing invaluable insights into complex biological systems. With the ability to analyze gene expression patterns in their spatial context, researchers can unravel intricate molecular mechanisms underlying diseases and developmental processes.

[helthcareheven]

Spatial Transcriptomics: Redefining the Boundaries of Cellular Biology

Spatial genomics transcriptomics is a revolutionary technique developed in recent years to simultaneously map the spatial distribution of cells and measure genome-wide gene expression levels at high resolution within intact tissues. This technique builds upon earlier spatial mapping methods but achieves single-cell level resolution for the first time. By combining spatial information with gene expression profiles, it allows us to understand how cells interact and work together in their native tissue environment.

The Technique Behind Spatial Genomics Transcriptomics

The key innovation behind spatial genomics transcriptomics is the use of DNA or RNA barcode arrays to spatially label genes expressed within a tissue sample. In this technique, a tissue sample such as a thin slice of brain, immune system node or tumor is placed on a glass slide coated with an array of oligonucleotide barcodes. As cells within the tissue naturally degrade and release their RNA contents, the RNA gets captured by the nearby barcodes on the array. After sequencing, the location and identity of each captured RNA molecule can be revealed based on the barcode it is associated with. This allows building up spatially resolved maps of where specific genes are expressed within the intact tissue architecture.

Advantages Over Previous Spatial Mapping Methods

Prior spatial mapping techniques such as in situ hybridization could detect only a limited number of genes or relied on immunofluorescent detection of selected proteins. While useful for studying expression of known marker genes, they did not provide a comprehensive view of all genes expressed within tissues. Techniques like Geo-Seq and SPRITE that applied random barcodes had low resolution, with each barcode representing an area containing multiple cell types. In contrast, spatial genomics transcriptomics achieves single cell resolution by using dense arrays of spatially distributed barcodes. It can simultaneously analyze expression of thousands of genes, revealing novel gene expression patterns and cell type signatures within intact tissues.

Applications and Insights Provided

Researchers have already employed spatial genomics transcriptomics to gain new understandings in various disease contexts. In neuroscience, it has mapped out region-specific gene expression programs in the intact mouse brain at an unprecedented scale. In cancer research, it has uncovered diverse tumor-infiltrating leukocyte populations and their spatial distributions in brain cancer samples. In immunology, it has revealed organization of immune cell subsets and their gene activities within lymphoid organs. Going forward, as reference maps are created for more species and tissues, it promises to transform our understanding of tissue organization, cell-cell communication networks and disease pathogenesis. Researchers will be able to investigate previously hidden layers of complexity in gene regulation influenced by the precise spatial microenvironment of cells.

Technical Advances and Future Potential

The original technique employed arrays of short DNA barcodes to achieve 100-200 micron resolution. Further technical optimizations have improved the resolution to below 20 microns, nearing single-cell levels. Longer or molecularly barcoded arrays will allow scaling the technique to sequence whole organs or even entire model organisms. Coupling it with multiplexed fluorescence imaging could add protein-level validation to gene expression profiles. As analysis algorithms and reference maps grow in sophistication, spatial genomics transcriptomics spatial genomics transcriptomics holds immense promise to revolutionize systems biology research and accelerate new biomarker and drug target discovery efforts. By taking a more comprehensive view of how genes regulate each other within intact tissue organization, it may yield new strategies for intervening in diseases as complex networks.