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Proteomics01:33

Proteomics

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 proteomics...
DNA Microarrays02:34

DNA Microarrays

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...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
Covalently Linked Protein Regulators02:04

Covalently Linked Protein Regulators

Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein.
Riboswitches01:56

Riboswitches

Riboswitches are non-coding mRNA domains that regulate the transcription and translation of downstream genes without the help of proteins. Riboswitches bind directly to a metabolite and can form unique stem-loop or hairpin structures in response to the amount of the metabolite present. They have two distinct regions – a metabolite-binding aptamer and an expression platform.
The aptamer has high specificity for a particular metabolite which allows riboswitches to specifically regulate...

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CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
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リアトーム配列:代謝体とゲノムとの間のリンクを鍛える

Ana Beloqui1, María-Eugenia Guazzaroni, Florencio Pazos

  • 1CSIC, Institute of Catalysis, 28049 Madrid, Spain.

Science (New York, N.Y.)
|October 10, 2009
PubMed
まとめ
この要約は機械生成です。

この研究は,ゲノム配列に関係なく,細胞とコミュニティの代謝機能を分析するための新しい代謝物質配列を導入します. このツールは,既知の生物と未配列の生物の両方の代謝ネットワークの再構築を可能にします.

さらに関連する動画

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
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High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

関連する実験動画

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CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
07:11

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

Published on: November 10, 2023

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

科学分野:

  • メタボロミクスとは
  • システム生物学 システム生物学
  • バイオケミストリー バイオケミストリー

背景:

  • 細胞代謝の理解は,様々な生物学的および医学的な応用に不可欠です.
  • メタボリック分析のための現在の方法は,しばしば事前のゲノム配列決定を必要とし,配列決定されていない生物への適用を制限しています.
  • 代謝現象型とネットワークを包括的に分析するには,ゲノム独立のアプローチが必要です.

研究 の 目的:

  • 細胞集団とコミュニティにおける代謝現象型とネットワーク (リアクトーム) の機能分析のための敏感な代謝産物配列の開発と検証.
  • 配列が配列化された生物と配列されていない生物の両方にとって有用であることを示すために.
  • グローバルな代謝経路の再構築と主要な酵素の識別を可能にします.

主な方法:

  • 中枢代謝経路を表す染料結合基板化合物1676基を含む代謝産物配列の開発.
  • 細胞抽出物の配列への適用は,酵素-基板結合,変換,および信号活性化につながる.
  • 配列からのデータを用いて代謝マップの再構築.
  • ナノ粒子で酵素を捕捉し,配列を決定し,特定の酵素の機能的確立.

主要な成果:

  • モデルバクテリアの代謝マップの再構築に成功した.
  • 様々な環境 (酸性火山のプール,深海の塩塩湖,炭化水素で汚染された海水) から微生物コミュニティのグローバルな代謝を再構築することによって,無序な生物のための有用性が実証されています.
  • ナノ粒子に捕捉された酵素機能の明確な確立.

結論:

  • メタボライト配列は,代謝ネットワークの機能的分析のための敏感でゲノム配列独立のプラットフォームを提供します.
  • この技術は,微生物の代謝学,特に未配列の生物や複雑なコミュニティの研究を大幅に前進させています.
  • この配列は,代謝経路の再構築と酵素機能の特徴づけを容易にし,システム生物学における新しい道を開きます.