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弊社では、AMEDより二件の委託を受けて、最先端の研究開発も進めています。

GlycoLite2200がまもなくリリースされます。

Serum-free, Xeno-free, Feeder-free, Growth factor-free　という世界最先端のiPS細胞用培地、新SODATTシリーズをリリースしています。
詳細ご参考

平素より、弊社のGlycoStationをご愛用頂きまして、誠にありがとうございます。
この度、弊社の糖鎖プロファイラーのフラグシップモデル　GlycoStation Reader 1200 が外観はそのままに、性能をアップグレードすることになりました。

この後継機種の名前はGlycoStation Reader 2200となります。

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解像度＝5um
スキャン時間=10秒（搭載するsCMOSカメラの露光時間＝１秒時）
スキャン領域＝13.0mm x 65.0mm (LecChipを全面カバー）
特徴＝従来のEMCCDカメラに比べて、大幅にバックグラウンド・ノイズが減っており、S/Nが改善されています。これによって、非常に小さい信号も従来機よりも高精度に検出することが可能となっており、皆様のご研究に大いに貢献できるものと考えています。
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リリース時期＝2016年6月末

（外観および仕様は今後変更される可能性があります）

お問合せ：

email: info@glycotechnica.com

TEL: 045-913-5803

この4月1日より、弊社本社機能を札幌から横浜に移します。
会社登記は従来通り札幌です。宜しくお願い申し上げます。

横浜本社：

225-0002 横浜市青葉区美しが丘 5-28-6 平野ビル3-503
TEL: 045-530-4045, FAX: 045-530-4046

横浜技術研究・製造室：

225-0012 横浜市青葉区あざみ野南1-3-3
Moritexビル内です
TEL: 045-913-5803, FAX: 045-511-8570

メールでのお問い合わせは、info@glycotechnica.com へ

A new version of current GlycoStation Reader series will be released shortly with a moderate price.

Major differences between this one and GlycoStation Reader 1200 are:

(1) Resolution: 5um -> 15um

(2) Fluorescence color: Multi-colors -> Cy3 only.

However, the user interface was improved greatly, so that simple analysis could be done on the LCD panel.

The new model name is GlycoLite 2100.

Lectin Microarray is a method which is able to measure glycan profiles easily and quickly.

One of the most important features in realizing the potential application of this method (for instance, discovery and screening of glyco-biomarkers, characterization of stem and differentiated cells, infectious ability of viruses, validation of biosimilar drugs and those host cells, intestinal bacteria and probiotics etc.) is to achieve sufficiently high sensitivity to detect even the low concentrations of some target glycoproteins which are included in sera or tissues.

An evanescent-field fluorescence excitation scanner, GlycoStation Reader 1200 made by GlycoTechnica, allows rapid profiling of glycoproteins. Here, we would like to introduce you a comparison of two different types of scanners, one is GlycoStation Reader 1200 and the other is GenePix 4000B. Comparison of GSR1200 and GenePix4000B

We think that you can understand the merits and the high performance of GlycoStation Reader as a most suitable scanner for detecting weak biomolecular interactions with a non-destructive manner, comparing with GenePix 4000B as one of the most prevalent scanners for DNA microarrays,  . 

And, the following paper written by Dr. Uchiyama et al. is also very informative to help you understand the superiority and the high performance of GlycoStation Reader 1200 for detecting Lectin-Glycan interactions. If you don't want to miss out important discoveries, there would be no any other systems except for GlycoStation.

Optimization of evanescent-field fluorescence-assisted lectin microarray for high-sensitivity detection of monovalent oligosaccharides and glycoproteins.

Please read it, and have a fun.

As far as we know, this paper will be the first study to perform glycan profiling of urines samples from the patients with diabetic nephropathy. As a result of their glycan profiling study using lectin microarrays, they found global reduction of the bindings to lectins, such as fucose, Lac/LacNA, α- or β-Gal, chitobiose, and α- or β-GalNAc binders in urine samples of diabetic nephropathy at macroalbuminuria stage. Unlike the reduced bindings to these lectins, interestingly the biding activity to Siaα2-6-Gal/GalNAc binders progressively increased at micro- and macroalbuminruia stages.

Then, by capturing Siaα2-6Gal/GalNAc modified glycoproteins with SNA- and SNA-agarose column chromatography, they finaly concluded that higher urinary fetuin-A excretion demonstrated a higher risk for the development of microalbuminuria and reduction of renal function.

Urinary Fetuin-A Is a Novel Marker for Diabetic Nephropathy in Type 2 Diabetes Identified by Lectin Microarray

Have a fun!

 

In the interpretation of glycan profiling patterns (i.e., glycan profiles) taken by lectin microarrays, I have summarized important things and procedures as follows.

1. Some sort of normalization is absolutely necessary in comparing glycan profiles differentially. One of the most useful normalization methods is "Average Normalization". In this case, all of the lectin signals are devided by the average of all lectins on the array, and for convenience, the values are then multiplied by 100.

 

2. And, the differences in glycan profiles are interpreted taking lectin binding characteristics and CV (coefficient of variation) into consideration. Usually the CV is less than 10% in a lot, and that of lot-to-lot variation gets a little bit bigger than this. Lectin binding specificity is not one-to-one relationship like an antigen-antibody reaction, but is fairly broader than that. So, we must be careful in the interpretation if other lectins with similar binding characteristics are reacting in the same way or not, taking each binding specificity into consideration. As for the lectin binding characteristics, please refer to Table 2 shown on page 4448 in the following paper "Lectin microarrays: concept, principle and applications" for your information. Lectin microarrays: concept, principle and applications

 

3. In some cases, enzymatic digestion is very useful in understanding glycan profiles. For instance, vague points in the interpretation get clearer by comparing before and after sialidase digestion and by repeating the enzymatic digestion with galactosidase, acetylhexosaminidase, mannosidase in sequence. A figure 4 shown on page 854 in the following paper "Evanescent-field fluorescence-assisted lectin microarray: a new strategy for glycan profiling" would be such a very good example. Evanescent-field fluorescence-assisted lectin microarray: a new strategy for glycan profiling

 

So, if you have any questions, please feel free to write an email to us anything, info@glycotechnica.com.