Quant-iT™ dsDNA Assay Kits, high sensitivity (HS) and broad range (BR)
Use 96- and 384-well Microplates for Fluorescence-based Assays with Quant-iT assays for optimal results
Quant-iT™ dsDNA Assay Kits, high sensitivity (HS) and broad range (BR)
Invitrogen™

Quant-iT™ dsDNA Assay Kits, high sensitivity (HS) and broad range (BR)

RNAを介した二本鎖DNAの高選択的定量を目的として、高感度かつ幅広い定量用のQuant-iT dsDNAアッセイキットは、それぞれ0.2∼100 ngおよび2∼1,000 ngのDNA範囲で直線的な蛍光シグナルを生成します。
製品番号(カタログ番号)アッセイ定量範囲
Q33120dsDNA定量、高感度0.2∼100 ng
Q33130dsDNA定量、広範囲4∼1,000 ng
製品番号(カタログ番号) Q33120
価格(JPY)
139,100
Each
お問い合わせください ›
アッセイ:
dsDNA定量、高感度
定量範囲:
0.2∼100 ng

Quant-iT dsDNAアッセイキットを使用すると、dsDNA定量を簡単かつ迅速に実行できます。Quant-iT High-Sensitivity dsDNA Assay KitおよびQuant-iT Broad-Range dsDNA Assay Kitには、濃縮アッセイ試薬、希釈バッファー、および希釈済みDNA標準液が含まれます。これらのDNAアッセイキットは、RNAを介したニ本鎖DNAに対して高い選択性を有し、0.2∼100 ng DNA(HS dsDNA Assay Kit用)および2∼1,000 ng DNA(BR dsDNA Assay Kit用)の範囲において蛍光シグナルは線形です。

Quant-iT dsDNA High-Sensitivity Assay KitおよびQuant-iT dsDNA Broad Range Assay Kitを使用すると、DNA定量を簡単かつ正確に行うことができます。キットには、濃縮アッセイ試薬、希釈バッファー、および希釈済みDNA標準液が含まれています。試薬を1:200で希釈し、200 μLをマイクロプレートのウェルに重点します。1~20 μLのサンプルを加えて混合し、蛍光を読み取ります。

このアッセイは、RNAよりも二本鎖DNAに対して高い選択性を有し、HSアッセイでは0.2~100 ng、BRアッセイでは2~1,000 ngの範囲において蛍光シグナルはDNAで線形となります。サンプル調製から測定まで室温で行うことができ、シグナルは3時間安定しています。これらのアッセイでは、塩、溶媒、界面活性剤、タンパク質などの一般的な汚染物質は十分に耐性があります。
For Research Use Only. Not for use in diagnostic procedures.
仕様
アッセイdsDNA定量、高感度
使用対象 (装置)マイクロプレートリーダー
反応数1,000(200 μLアッセイ容量)
製品ラインQuant-iT
定量範囲0.2∼100 ng
数量1 kit
出荷条件室温
検出法蛍光
Unit SizeEach

よくあるご質問(FAQ)

Why am I getting negative fluorescence values with my Qubit Assays?

Negative fluorescence is a physical impossibility. It is an artifact from software autocorrecting for background signal. This means your reader is picking up and subtracting out background light at the cost of your data. Make sure to do a buffer-only control and assess the type of signal. You may need to switch to a different plate.

I have a Quant-iT DNA Kit and want to use it for the Qubit Fluorometer. Can I?

Yes, the manual has directions for this application. You will use the 0 ng/µL lambda dsDNA HS standard to generate Standard #1. You will prepare a dilution of the 10 ng/µL lambda dsDNA HS standard to generate Standard #2. You then prepare the samples and compare them to this 2-point standard curve. The Quant-iT dsDNA BR Kit can be used in a similar manner.

What is the useful pH range for Quant-iT DNA kits?

The buffer included in the kit should assure the proper pH range, even if your DNA is at a pH outside of this range, since at least a 10-fold excess of kit buffer over sample is used in the assay.

I'm trying to quantify some DNA labeled with a fluorophore. Will this work?

PicoGreen dye and other fluorescence-based quantification reagents are not recommended for quantifying dye-conjugated nucleic acids. The attached dye molecules can interfere with either binding and/or fluorescence output of the quantification reagents.

Does DNA length have an effect on the dsDNA assays?

Strands that are roughly in the 20-mer range or shorter show a lower level of signal. For dsDNA samples that are composed of mostly short strands, the reagent may still be used, but one should use a dsDNA standard that is of comparable length as the sample.

Find additional tips, troubleshooting help, and resources within our Nucleic Acid Quantification Support Center.

引用および参考文献 (32)

引用および参考文献
Abstract
Natural transformation of Myxococcus xanthus.
Authors:Wang J, Hu W, Lux R, He X, Li Y, Shi W,
Journal:J Bacteriol
PubMed ID:21378184
'Myxococcus xanthus belongs to the delta class of the proteobacteria and is notable for its complex life-style with social behaviors and relatively large genome. Although previous observations have suggested the existence of horizontal gene transfer in M. xanthus, its ability to take up exogenous DNA via natural transformation has not ... More
Gastroenteritis outbreak caused by waterborne norovirus at a New Zealand ski resort.
Authors:Hewitt J, Bell D, Simmons GC, Rivera-Aban M, Wolf S, Greening GE,
Journal:Appl Environ Microbiol
PubMed ID:17965205
'In July 2006, public health services investigated an outbreak of acute gastroenteritis among staff and visitors of a popular ski resort in southern New Zealand. The source of the outbreak was a drinking water supply contaminated by human sewage. The virological component of the investigation played a major role in ... More
Expression/localization patterns of sirtuins (SIRT1, SIRT2, and SIRT7) during progression of cervical cancer and effects of sirtuin inhibitors on growth of cervical cancer cells.
Authors:Singh S, Kumar PU, Thakur S, Kiran S, Sen B, Sharma S, Rao VV, Poongothai AR, Ramakrishna G
Journal:
PubMed ID:25794641
'Sirtuins belong to the family of class III histone deacetylases; its role in neoplasia is controversial as both tumor-suppressive and promoting functions have been reported. There are very few reports available, where expressions of sirtuin isoforms are comprehensively analyzed during neoplasia. Therefore, in the present study, the expression of SIRT1, ... More
The altered landscape of the human skin microbiome in patients with primary immunodeficiencies.
Authors:Oh J, Freeman AF, Park M, Sokolic R, Candotti F, Holland SM, Segre JA, Kong HH,
Journal:
PubMed ID:24170601
'While landmark studies have shown that microbiota activate and educate host immunity, how immune systems shape microbiomes and contribute to disease is incompletely characterized. Primary immunodeficiency (PID) patients suffer recurrent microbial infections, providing a unique opportunity to address this issue. To investigate the potential influence of host immunity on the ... More
Effect of the metabolic environment at key stages of follicle development in cattle: focus on steroid biosynthesis.
Authors:Walsh SW, Mehta JP, McGettigan PA, Browne JA, Forde N, Alibrahim RM, Mulligan FJ, Loftus B, Crowe MA, Matthews D, Diskin M, Mihm M, Evans AC,
Journal:Physiol Genomics
PubMed ID:22414914
'Cellular mechanisms that contribute to low estradiol concentrations produced by the preovulatory ovarian follicle in cattle with a compromised metabolic status are largely unknown. To gain insight into the main metabolic mechanisms affecting preovulatory follicle function, two different animal models were used. Experiment 1 compared Holstein-Friesian nonlactating heifers (n = ... More