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関連する概念動画

Molecular Shapes01:18

Molecular Shapes

Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.Two regions of electron density in a diatomic...
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

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...
X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal crystal...
Spectroscopy of Carboxylic Acid Derivatives01:26

Spectroscopy of Carboxylic Acid Derivatives

Infrared spectroscopy is primarily used to determine the types of bonds and functional groups. In carboxylic acid derivatives, a typical carbonyl bond absorption is observed around 1650–1850 cm−1. For esters, the absorption is recorded at around 1740 cm−1, while acid halides show the absorption at about 1800 cm−1. Another acid derivative, the acid anhydrides, exhibit two carbonyl absorption around 1760 cm−1 and 1820 cm−1, arising from the symmetrical and unsymmetrical carbonyl vibration.
In the...
Molecules with Multiple Chiral Centers02:25

Molecules with Multiple Chiral Centers

Molecules that possess multiple chiral centers can afford a large number of stereoisomers. For instance, while some molecules like 2-butanol have one chiral center, defined as a tetrahedral carbon atom with four different substituents attached, several molecules like butane-2,3-diol have multiple chiral centers. A simple formula to predict the number of stereoisomers possible for a molecule with n chiral centers is 2n. However, there can be a lower number where some of the stereoisomers are...
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

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SCALE:空間オミクスデータにおける教師なしマルチスケールドメイン同定

Behnam Yousefi1,2, Darius P Schaub1,3, Robin Khatri1,4

  • 1Institute of Medical Systems Bioinformatics, Center for Biomedical AI (bAIome), Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.

Nucleic acids research
|January 7, 2026
PubMed
まとめ
この要約は機械生成です。

SCALEは、空間トランスクリプトミクスデータにおける階層的な機能ドメインを同定するための新しいアルゴリズムです。このツールは、健康と疾患における生物学的システムの理解を深めるマルチスケール組織構造を明らかにします。

キーワード:
空間オミクスマルチスケールドメイン教師なし学習トランスクリプトミクス組織解析深層学習計算生物学

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科学分野:

  • 計算生物学; ゲノミクス; バイオインフォマティクス

背景:

  • 単一細胞空間トランスクリプトミクスは、組織内の細胞状態をマッピングします。
  • 生物学的システムは、マルチスケール機能ドメインを持つ階層的な組織を示します。
  • これらのドメイン階層を計算論的に同定することは困難です。

研究 の 目的:

  • SCALEは、空間トランスクリプトミクスにおけるマルチスケールドメイン同定のための教師なしアルゴリズムです。
  • 様々な空間スケールでの階層的な機能ドメインの発見を可能にします。
  • 複雑な組織構造を分析するための堅牢でスケーラブルなツールを提供します。

主な方法:

  • SCALEは、深層学習ベースのグラフ表現学習を採用しています。
  • エントロピーベースの探索アルゴリズムをスケール検出に統合しています。
  • このアルゴリズムは、シミュレートされたおよび実世界の空間トランスクリプトミクスデータセットで検証されています。

主要な成果:

  • SCALEは、多様な組織（マウスの脳、腎臓）にわたるマルチスケール機能ドメインを効果的に同定します。
  • XeniumおよびMERFISHデータで堅牢性とスケーラビリティを実証しました。
  • 最先端の方法と比較して最大191.1パーセントポイント上回りました。

結論:

  • SCALEは、階層的な組織構造を明らかにするためのユーザーフレンドリーなツールです。
  • 組織機能および細胞間相互作用に関するより深い洞察を促進します。
  • 健康と疾患の両方の文脈における生物学的システムの研究を進歩させます。