Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

2.4K
Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
2.4K
Aging01:26

Aging

179
Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
179
Somatic to iPS Cell Reprogramming01:29

Somatic to iPS Cell Reprogramming

2.3K
Reprogramming alters the gene expression in somatic cells, transforming them into induced pluripotent stem (iPS) cells over several generations. Scientists can reprogram cells by introducing genes for four transcription factors—Oct4, Sox2, Klf4, and c-Myc (OSKM) by viral or non-viral methods. These factors are also known as Yamanaka factors after Shinya Yamanaka, who first generated iPS cells using mouse skin cells. Yamanaka was awarded the Nobel Prize in Physiology or Medicine in 2012...
2.3K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Loss of the lncRNA <i>SOX1-OT</i> promotes p53-dependent cell-cycle arrest in astrocytes.

bioRxiv : the preprint server for biology·2026
Same author

Translational Insights into Exercise-Induced Protective Adaptations in 5XFAD Mice and Middle-Aged Amateur Sportsmen.

Antioxidants (Basel, Switzerland)·2026
Same author

In-situ inference of the thermoacoustic properties of an industrial combustion systema).

The Journal of the Acoustical Society of America·2026
Same author

Learning the relationship between operating condition and flame response from acoustic dataa).

The Journal of the Acoustical Society of America·2026
Same author

The epitranscriptomic m6A RNA modification modulates the synapse in ageing and in a mouse model of synucleinopathy.

NPJ Parkinson's disease·2026
Same author

The role of microRNAs in executive functions: a comprehensive review and bioinformatics analysis of human and animal studies.

Molecular psychiatry·2026

関連する実験動画

Updated: Sep 9, 2025

Cryo-section Dissection of the Adult Subependymal Zone for Accurate and Deep Quantitative Proteome Analysis
06:24

Cryo-section Dissection of the Adult Subependymal Zone for Accurate and Deep Quantitative Proteome Analysis

Published on: October 7, 2021

3.6K

プロテオトランスクリプトミックの再プログラムと資源の再配置が 哺乳類の老化脳を定義する

Nisha Hemandhar-Kumar, Verena Kluever, Svenja V Kaufmann

    bioRxiv : the preprint server for biology
    |September 2, 2025
    PubMed
    まとめ
    この要約は機械生成です。

    老化した脳は タンパク質の機能や 細胞のプロセスに影響する 分子変化を示し 神経変異のリスクを高めます この研究は正常な脳老化と 病気の間の重要な違いを明らかにし 保護戦略の洞察を提供します

    さらに関連する動画

    Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry
    08:52

    Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry

    Published on: April 6, 2022

    3.6K
    Analysis of Translation in the Developing Mouse Brain using Polysome Profiling
    08:38

    Analysis of Translation in the Developing Mouse Brain using Polysome Profiling

    Published on: May 22, 2021

    5.2K

    関連する実験動画

    Last Updated: Sep 9, 2025

    Cryo-section Dissection of the Adult Subependymal Zone for Accurate and Deep Quantitative Proteome Analysis
    06:24

    Cryo-section Dissection of the Adult Subependymal Zone for Accurate and Deep Quantitative Proteome Analysis

    Published on: October 7, 2021

    3.6K
    Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry
    08:52

    Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry

    Published on: April 6, 2022

    3.6K
    Analysis of Translation in the Developing Mouse Brain using Polysome Profiling
    08:38

    Analysis of Translation in the Developing Mouse Brain using Polysome Profiling

    Published on: May 22, 2021

    5.2K

    科学分野:

    • 神経科学
    • 分子生物学
    • ゲロントロジー

    背景:

    • 脳老化は 神経退行性疾患の重要な危険因子です
    • 脳の老化と神経変性の原因となる 分子機構は 完全に理解されていません

    研究 の 目的:

    • 統合型タンパク質-トランスクリプトームアプローチを用いて 脳の老化の分子シグネチャーを調査する.
    • 生理学的老化における分子変化を 早期老化と神経変異のモデルと比較する.

    主な方法:

    • 年老いたマウスの脳を統合したタンパク質トランスクリプトミア分析.
    • タンパク質の集積,mRNAの移転,および比較プロテオミクスの評価
    • 早期老化と神経変性に関する 8つのモデルを分析したものです

    主要な成果:

    • 生理学的老化中のシナプス維持とエネルギー配分における動的変化を特定した.
    • ミトコンドリア複合体Iタンパク質の減少がmRNA補償なしで観察され,60Sリボソームサブユニット結合による翻訳効率の低下が観察されました.
    • 生理学的老化と神経変性病理の 類似点と違いを明らかにしました

    結論:

    • 分子老化はタンパク質の生化学的性質,ミトコンドリア機能,翻訳効率の変化を伴う.
    • これらの老化メカニズムの理解は 神経変性への誘発の経路の洞察を提供します
    • 脳の老化と分子アトラスプロジェクト (BrainAging-MAP) は,脳の老化に関する研究のためのアクセス可能なリソースを提供します.