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関連する概念動画

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

49
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
49
Genomics02:02

Genomics

36.5K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.5K
DNA Microarrays02:34

DNA Microarrays

17.5K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
17.5K
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

81
Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...
81
Proteomics01:33

Proteomics

7.4K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.4K
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

4.8K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
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関連する実験動画

Updated: Jul 20, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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空間オミクスの誕生

Dario Bressan1, Giorgia Battistoni1, Gregory J Hannon1

  • 1Cancer Research UK (CRUK) Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, Cambridgeshire CB2 0RE, UK.

Science (New York, N.Y.)
|August 3, 2023
PubMed
まとめ

空間オミクスは 組織構造を 分子データと統合し 生命科学に変化をもたらします このレビューは,生物学と病理学におけるより広範な採用のための課題に取り組む技術をカタログ化しています.

科学分野:

  • 生命科学
  • 分子生物学
  • 病理学について

背景:

  • 空間オミクスは分子データと組織構造を統合する 急速に進歩する分野です
  • 現在の空間オミクス技術は 生物学と病理学にわたる 変革の可能性を秘めています
  • この分野は,アクセシビリティ,標準化,実験設計のベストプラクティスを含む課題に直面しています.

研究 の 目的:

  • 多様な空間オミックス技術の体系的なカタログを提供すること.
  • 各技術ファミリーの原則,能力,限界を強調する.
  • この分野における現在の課題を克服するための視点と提案を提示する.

主な方法:

  • 空間オミクスの方法論を体系的に検討し,分類する.
  • 技術の原理,強み,弱さの分析
  • 重要な課題と将来の方向性を特定する.

主要な成果:

  • 主要な空間オミックスの技術ファミリーの包括的な概要.
  • 現在のアプローチに固有の能力と限界の詳細な評価
  • エントリーの重要な障壁の特定,標準化,そして堅固な実験設計.

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関連する実験動画

Last Updated: Jul 20, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
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結論:

  • 生物学と病理学の研究に 革命をもたらす可能性が高いのです
  • 標準化とアクセシビリティに関する現在の課題に取り組むことは,この分野の進歩にとって極めて重要です.
  • 空間オミクスの潜在力を完全に実現するには,さらなる開発と明確なベストプラクティスが必要です.