TaqMan™ hPSC Scorecard™ Panel, 384-well
TaqMan™ hPSC Scorecard™ Panel, 384-well
Applied Biosystems™

TaqMan™ hPSC Scorecard™ Panel, 384-well

Applied Biosystems™ TaqMan™ hPSC Scorecard™ Panel 384wは、ヒトES細胞およびiPS細胞株の両方で、多能性の検証と系統バイアスの測定を可能にします。384ウェルプレートには詳細を見る
製品番号(カタログ番号)数量
A158701 x 384-well plate
製品番号(カタログ番号) A15870
価格(JPY)
75,100
Each
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数量:
1 x 384-well plate
Applied Biosystems™ TaqMan™ hPSC Scorecard™ Panel 384wは、ヒトES細胞およびiPS細胞株の両方で、多能性の検証と系統バイアスの測定を可能にします。384ウェルプレートには、ウェル内で乾燥させた94の事前定義済みTaqMan™遺伝子発現アッセイ(内在性コントロールを含む)の4セットが含まれています。このパネルにマスターミックスは含まれていません。パネルとマスターミックスを組み合わせたキットについてはTaqMan™ hPSC Scorecard™キット384wを参照してください。この製品は、2 x 96W高速フォーマットでもご利用いただけます。

•1回のシンプルな実験で、4つのサンプルの遺伝子シグネチャーを評価します
• 結果は、付属のhPSC Scorecard™分析ソフトウェアを使用して参照基準と比較します
• 三胚葉分化能を持つ線を同定します
• 1つの生殖層に指定された誘導分化を評価します
• 検証済みのコンテンツにアクセスして結果の信頼性を高めます

全遺伝子シグネチャーを、1つの実験で評価します
TaqMan™ hPSC Scorecard™パネルは、安定した使いやすい乾燥フォーマットで、プレプレイテッドアッセイを提供することで、時間節約に寄与します。目的のcDNAにTaqMan™マスターミックスを添加し、マルチチャンネルピペットで、384ウェルプレートに転写するだけです。

結果をリファレンス標準と比較
TaqMan™ hPSC Scorecard™パネルには、特許取得済みでクラウドベースの解析ソフトウェアへのアクセスが含まれており、結果のグラフや表の表示やエクスポート、またレポートの生成が可能です。このソフトウェアは7つのApplied Biosystems™ qRT-PCRシステムに対応しており、追加料金なしでご利用いただけます。

三胚葉分化能を持つ線の同定
分析には、ランダムに分化した胚様体(EB)サンプル(標準的なEB法を使用して少なくとも7日間分化)が含まれ、3つの生殖層(内皮、中皮、外皮)のうちの1つまたは複数に偏りがあるかどうかを判断します。

1つの生殖層に指定された誘導分化を評価
パネルには、単層培養での誘導分化に、期待どおりに反応することが示されている3つの生殖層ごとに、20を超えるマーカーが含まれています。この1つのパネルで、目的の生殖層の時間経過データ、培養条件、および培地組成を迅速に評価できます。

アクセス検証済みコンテンツ
パネルの内容は公開された作業(Bock et al., Cell 144, 439–452, 2011)に基づいており、複数のヒトESおよびiPSの線に対して検証されています。

得られる結果
TaqMan™ hPSC Scorecard™パネル384wのコンポーネント:

•94 TaqMan™遺伝子発現アッセイの384ウェルプレート1枚(プレートごとに 4 遺伝子セット)
•光学プレートカバー1個
研究用にのみ使用できます。診断用には使用いただけません。
仕様
使用対象 (装置)QuantStudio™ 12k Flex、ViiA™ 7システム
フォーマット384-ウェルプレート
反応数384反応
製品ラインTaqMan
数量1 x 384-well plate
研究カテゴリー幹細胞研究
ヒト
検出法プライマープローブ検出
使用対象(アプリケーション)Stem Cell Analysis
形状乾燥
反応速度スタンダード
Unit SizeEach
組成および保存条件
内容:4つの同一96アッセイパネルからなる384ウェルプレート1個、および光学カバー1個

室温で保存してください。

よくあるご質問(FAQ)

Will I need to update my TaqMan hPSC Scorecard Analysis Software?

No software update is required. Because the hPSC Scorecard Analysis Software is cloud based, you will always have access to the most up-to-date version of the software every time you log in.

Find additional tips, troubleshooting help, and resources within our Real-Time PCR and Digital PCR Applications Support Center

How do I export Ct values in the TaqMan hPSC Scorecard Analysis Software?

The only way to view the Ct values in the current version is through the expression plot. We expect the software's Excel export to include the gene names and Ct values in a future version of the software.

Find additional tips, troubleshooting help, and resources within our Real-Time PCR and Digital PCR Applications Support Center

I'm using the TaqMan hPSC Scorecard Analysis Software. How are the scores calculated?

A proprietary algorithm compares the Ct values for each marker set to the values in the reference database and calculates the score based on how well the expression correlates. In general, scores close to 0 indicate comparable expression to that of the reference standard using undifferentiated cells. Scores higher than 1 indicates up regulation relative to undifferentiated cells and less than -1 indicate down regulation relative to undifferentiated cells.

Find additional tips, troubleshooting help, and resources within our Real-Time PCR and Digital PCR Applications Support Center

I'm using the TaqMan hPSC Scorecard Analysis Software. What lines were used to generate the reference standard?

Thirteen pluripotent stem cell lines were used to generate the reference standard including:

  • H9 ESC P28
  • iPS BS3C P35
  • iPS18C P29
  • HUES9 P28
  • HUES13 P56
  • HUES28 P28
  • HUES44 P25
  • HUES48 P21
  • HUES49 P21
  • HUES53 P24
  • HUES63 P46
  • HUES64 P30
  • HUES65 P29


Find additional tips, troubleshooting help, and resources within our Real-Time PCR and Digital PCR Applications Support Center

I'm using the TaqMan hPSC Scorecard Analysis Software. My sample has a red flag on it, or is not showing any results. What does that mean?

The hPSC Scorecard Analysis Software performs a set of quality control checks upon data import to ensure the quality of the results.
You may see one of the following red flag warnings:

  • Internal positive control: The expression levels of the housekeeping genes were low, signifying that there was an issue with the qRT-PCR. The sample is excluded from analysis and must be repeated.
  • Bad Rox: The ROX dye is used as a passive reference during the qPCR. If the ROX dye is not detected, it is suggestive that some of the assay wells may not have received the proper amount of Master Mix. This may explain why a particular assay is not showing the anticipated gene expression level.
  • Sendai Virus Detected (SEV): The hPSC Scorecard Panel includes a control to look for Sendai virus expression. A flag will appear if a Ct value of greater than 30 is observed for this control. On some rare occasions, the SEV oligonucleotides will cross react with other genes resulting in a false SEV flag in differentiated cells. If you see this flag, and did not anticipate Sendai virus detection, you may want to repeat the sample or look at the amplification plot (In the 96 well plate: well B9; in the 384 well plate: wells D3, D9, D15, and D21) to see if the automated Ct value call is real, or just an error.
  • Insufficient Data: The analysis software requires a minimum number of genes to be amplified in each the four categories (i.e., self-renewal (“pluri”), ectoderm, mesoderm, and endoderm) to accurately analyze your data. If the minimum number of genes in each category does not amplify, or if data has been omitted by the user, the Insufficient Data flag will appear and the sample is excluded from analysis. The sample should be repeated.


Find additional tips, troubleshooting help, and resources within our Real-Time PCR and Digital PCR Applications Support Center

引用および参考文献 (20)

引用および参考文献
Abstract
Characterizing Pluripotent Stem Cells Using the TaqMan(®) hPSC Scorecard (TM) Panel.
Authors:Fergus J, Quintanilla R, Lakshmipathy U,
Journal:
PubMed ID:25138722
'Rapid technological developments for the efficient generation of footprint-free induced pluripotent stem cells (iPSC) enabled the creation of patient-specific iPSC for downstream applications in drug discovery and regenerative medicine. However, the large number of iPSCs, generated from diverse genetic backgrounds using various methods and culture conditions, created a steep challenge ... More
Generation of iPSCs as a Pooled Culture Using Magnetic Activated Cell Sorting of Newly Reprogrammed Cells.
Authors:Yang W, Liu Y, Slovik KJ, Wu JC, Duncan SA, Rader DJ, Morrisey EE,
Journal:
PubMed ID:26281015
'Although significant advancement has been made in the induced pluripotent stem cell (iPSC) field, current methods for iPSC derivation are labor intensive and costly. These methods involve manual selection, expansion, and characterization of multiple clones for each reprogrammed cell sample and therefore significantly hampers the feasibility of studies where a ... More
Efficient Generation of Induced Pluripotent Stem and Neural Progenitor Cells From Acutely Harvested Dura Mater Obtained During Ventriculoperitoneal Shunt Surgery.
Authors:Cary WA, Hori CN, Pham MT, Nacey CA, McGee JL, Hamou M, Berman RF, Bauer G, Nolta JA, Waldau B,
Journal:
PubMed ID:26074438
'The dura mater can be easily biopsied during most cranial neurosurgical operations. We describe a protocol that allows for robust generation of induced pluripotent stem cells (iPSCs) and neural progenitors from acutely harvested dura mater. To generate iPSCs and neural progenitor cells from dura mater obtained during ventriculoperitoneal shunt surgery. ... More
Integrative Analyses of Human Reprogramming Reveal Dynamic Nature of Induced Pluripotency.
Authors:Cacchiarelli D, Trapnell C, Ziller MJ, Soumillon M, Cesana M, Karnik R, Donaghey J, Smith ZD, Ratanasirintrawoot S, Zhang X, Ho Sui SJ, Wu Z, Akopian V, Gifford CA, Doench J, Rinn JL, Daley GQ, Meissner A, Lander ES, Mikkelsen TS,
Journal:
PubMed ID:26186193
'Induced pluripotency is a promising avenue for disease modeling and therapy, but the molecular principles underlying this process, particularly in human cells, remain poorly understood due to donor-to-donor variability and intercellular heterogeneity. Here, we constructed and characterized a clonal, inducible human reprogramming system that provides a reliable source of cells ... More
Transcription factor binding dynamics during human ES cell differentiation.
Authors:Tsankov AM, Gu H, Akopian V, Ziller MJ, Donaghey J, Amit I, Gnirke A, Meissner A,
Journal:
PubMed ID:25693565
'Pluripotent stem cells provide a powerful system to dissect the underlying molecular dynamics that regulate cell fate changes during mammalian development. Here we report the integrative analysis of genome-wide binding data for 38 transcription factors with extensive epigenome and transcriptional data across the differentiation of human embryonic stem cells to ... More