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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack07:31

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This article presents a protocol based on Hydra — a web-based system for clinical decision support that integrates a full and detailed set of functionalities and services required by physicians for complete cardiovascular analysis, risk assessment, early diagnosis, treatment, and monitoring over...
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This manuscript describes the Research Prioritization by Affected Communities (RPAC) protocol and findings from its use with women at risk for preterm birth. Using the protocol, women identified and prioritized their unanswered questions about pregnancy, birth and neonatal care aimed at influencing research priority setting by funders and...
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The objective of the study was to assess the biological impact of 15 cigarette smoke constituents using a combination of an impedance-based real time cell analyzer and a high-content screening (HCS)-based platform for toxicological assessment in vitro. This study provides information on effective doses, toxicity and modes of action of the tested compounds.
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In this candid interview, Anthony A. James explains how mosquito genetics can be exploited to control malaria and dengue transmission. Population replacement strategy, the idea that transgenic mosquitoes can be released into the wild to control disease transmission, is introduced as well as the concept of genetic drive and the design criterion for an effective genetic drive system. The ethical considerations of releasing genetically-modified organisms into the wild are also...
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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マイクロウェル・セクによるマウス細胞アトラスのマッピング

Xiaoping Han1, Renying Wang1, Yincong Zhou2

  • 1Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou 310058, China; Stem Cell Institute, Zhejiang University, Hangzhou 310058, China.

Cell
|February 24, 2018
PubMed
まとめ
この要約は機械生成です。

マウス細胞アトラス (MCA) を作成するために,単細胞RNAシーケンシング (scRNA-seq) の費用対効果の高いプラットフォームであるMicrowell-seqを開発しました. このリソースは40万以上の細胞をマップし,新しい細胞階層を明らかにし,正確な細胞タイプの定義を可能にします.

キーワード:
マイクロウェルシーク細胞のタイプ分類細胞の異質性組織間セルラーネットワーク哺乳類の細胞地図マウス・セル・アトラスscMCA分析について単細胞RNA-seq単細胞分析トランスクリプトーム分析

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科学分野:

  • ゲノミクス
  • 細胞生物学
  • バイオ情報学

背景:

  • 単細胞RNA配列解析 (scRNA-seq) は細胞型分類に革命をもたらしています
  • 複合的な哺乳類のシステムに関する包括的な単細胞アトラスは依然として難解である.
  • 既存の scRNA-seq 方法は,コストが高く,アクセスしやすいものではありません.

研究 の 目的:

  • 高通量で低コストのscRNA-seqプラットフォーム (Microwell-seq) を開発する.
  • 主要な臓器をカバーする基礎的なマウス細胞アトラス (MCA) を構築する.
  • デジタル遺伝子発現データを用いて細胞型識別のための計算パイプラインを確立する.

主な方法:

  • Microwell-seqプラットフォームの開発は,シンプルで安価なデバイスを使用しています.
  • 400,000以上の単細胞を マウス組織から分析した
  • 単細胞デジタル表現データのウェブベースの分析パイプラインの作成

主要な成果:

  • マウスの大規模な単細胞データセットの生成に成功しました.
  • 以前は特徴づけられていなかった組織における新しい単細胞階層の特定.
  • Microwell-seqプラットフォームの効率とコスト効率の検証
  • デジタル表現に基づいた正確な細胞型定義パイプラインの開発.

結論:

  • Microwell-seqは,scRNA-seqにスケーラブルで手頃な価格のアプローチを提供します.
  • マウス・セル・アトラス (MCA) は哺乳類の細胞の多様性を理解するための貴重なリソースを提供します.
  • 開発された分析パイプラインは,scRNA-seqデータから正確な細胞タイプ分類を容易にする.