あなたのアプリ作品を公開しよう｜Mash up the Linked Open Data

function init(){
 sessionStorage.clear();
 $.each(LinkData.getWorks(),function(k, v){
	 $.each(LinkData.getFiles(v), function(fk, fv) {
	   loadData(v,fv);
	 });
 });
}

function getSequence(type,name){
  var data = JSON.parse(sessionStorage.getItem(type));
  var seq = data[name];
  return seq;
}

var map = {};

function reverseTranslation(ps) {
 var ns = "";
 var i = 0;
 for (i=0; i<ps.length;i++) {
 ns += map[ps.charAt(i)];
 }
 return ns;
}

window.onload = function() {
 init();
 // 1. Obtain protein sequences of HPS.
 // 1. HPSのたんぱく質配列を取得
 $("#result").append("[STEP 1]");
 var hpsSeq = getSequence("protein","http://www.uniprot.org/uniprot/Q9LBW4");
 $("#result").append("HPS Protein sequence has been obtained from LinkData " + hpsSeq + " ");
 // 2. Reverse translate the obtained protein sequences of HPS to DNA sequences.
 // 2. 取得したHPSのたんぱく質配列をDNA配列に逆翻訳
 $("#result").append("[STEP 2]");
 var hpsDnaSeq = reverseTranslation(hpsSeq);
 $("#result").append("HPS DNA Sequence has been generated " + hpsDnaSeq + " ");

// 3. Obtain protein sequences of PHI.
 // 3. PHIのたんぱく質配列を取得
 $("#result").append("[STEP 3]");
 var phiSeq = getSequence("protein","http://www.uniprot.org/uniprot/Q9LBW5");
 $("#result").append("PHI Protein sequence has been obtained from LinkData " + phiSeq + " ");
 
 // 4. Reverse-translate the obtained protein sequences of PHI to DNA sequences.
 // 4. 取得したPHIのたんぱく質配列をDNA配列に逆翻訳
 $("#result").append("[STEP 4]");
 var phiDnaSeq = reverseTranslation(phiSeq);
 $("#result").append("PHI DNA Sequence has been generated " + phiDnaSeq + " ");

// 5. Combine those two DNA sequences.
 // 5. ２つのDNA配列を結合
 $("#result").append("[STEP 5]");
 var dnaSeq = hpsDnaSeq + phiDnaSeq;
 $("#result").append("Designed sequence is " + dnaSeq + " ");
};

map.M = "atg";
map.F = "ttt";
map.L = "tta";
map.I = "att";
map.V = "gtt";
map.S = "tct";
map.P = "cct";
map.T = "act";
map.A = "gct";
map.Y = "tat";
map.H = "cat";
map.Q = "caa";
map.N = "aat";
map.K = "aaa";
map.D = "gat";
map.E = "gaa";
map.C = "tgt";
map.W = "tgg";
map.S = "agt";
map.R = "cgt";
map.G = "ggt";

データ作品

データ作品	テーブルデータ
GenoCon2 ChallengeB sample data	dna promoter protein signal_peptide terminator

データ作品を追加する

This area is for writing your GenoCon2 Report. The guidelines below are for writing a 6 section report. An image should also be included.

<h1 align="CENTER">Title: Design for combining HPS (3-hexulose-6-phosphate synthase) and PHI (6-phospho-3-hexuloisomerase)</h1>

Name: RIKEN GenoCon
Affiliation: RIKEN The Institute of Physical and Chemical Research


Date: 2012-10-10

<h2>Abstract</h2>

Formaldehyde is known as a harmful substance to the human body and cause sick house syndrome. If there was a plant which is able to absorb formaldehyde and remove it effectively, we might be able to prevent sick house syndrome by putting the plant in the room. However, general plants have little function to absorb formaldehyde. In this design, we have used JavaScript to design DNA sequence to add such a function to a model plant.The resulting design is efficient, simple, and easy to understand example of JavaScript coding to construct a DNA sequence created by reverse transcription. There are many possibilities to improve on this design.

<img src="http://app.linkdata.org/asset/dff6ccc0.png">

<h2>Introduction</h2>

Research groups led by Professor Izui of Kinki University, Professor Sakai, and Professor Kato (currently Professor of Kyoto Gakuen University) of Kyoto University are actually trying to create such dreamlike plants. They found out that by inserting two HCHO decomposing bacterium genes into a plant (Arabidopsis thaliana), the plant got a function to remove HCHO in the air. The research teams re-design a plant pathway by adding two genes. (See details of the research)

<h2>Method</h2>
<h3>Overview</h3>
<ol><li>
Obtain the HPS protein sequence
</li><li>
Reverse-translate the obtained HPS protein sequence to DNA sequence
</li><li>
Obtain PHI protein sequence
</li><li>
Reverse-translate the obtained PHI protein sequence to DNA sequence
</li><li>
Combine those two DNA sequences
</li><li>
Register the combined DNA sequences in RIKEN SciNetS
</li>
</ol>

<img src="http://50.87.23.181/wp-content/uploads/2012/08/Strategy_en.jpg">

<h3>Design Flow</h3>

The followings are basic explanation about key parts for Challenge B sample program.

<table>
<tbody>
<tr>
<td valign="top">
<img style="width:600px;" src="http://app.linkdata.org/asset/cab91263.png">
</td>
<td valign="top">  Part A. Initialization of the program, data loading

Load the data of 5 tables (dna, promoter, protein, signal_peptide, terminator) included in the sample data (http://linkdata.org/work/rdf1s222i).
     Part B. Create a function for getting sequence data 
In this part, create a function to get sequences;
We named this function as ‘getSequence’. You can change the function name.Part C. Creation a function for reverse translationIn this part, create a function to reverse translate;
We named this function as ‘reverse Translation’. You can change the function name.

Part D. Main Program

Select protein sequences registered in sample data, execute reverse translation by using the function you created in Part C, obtain DNA sequences, outputs of the execution, and display the DNA sequence in the result area. 
 
More detail is explained in the below.

 
Part E. Define amino acids with the corresponding codons

In this part, amino acids are linked to codons.
*This example is not the best. You may brash up this "map" function considering with codon optimizations to Arabidopsis and/or other idea.*DNA sequences are represented by a letter string such as `ATGC` whereas protein sequences are represented by a letter string such as `MFLIV...`.

</td>
</tr>
</tbody>
</table>

D-1: Obtain protein sequences
 
Store protein sequences in a variable named “hpsSeq”.
 
<img style="width:600px;" src="http://app.linkdata.org/asset/d1390ee2.png"> 
<img style="width:500px;" src="http://app.linkdata.org/asset/5788aee4.png"> 
 
This function selects the "protein" table based on the variable 1, and obtain the sequence data of “Q9LBW4” in the “protein” table based on the variable 2

D-2: Reverse Translation
 
Translate the protein sequence stored in the variable named "hpsSeq" to a DNA sequence, by using the function created in ③, and store the DNA sequence in variable named "hpsDnaSeq".
 
<img style="width:600px;" src="http://app.linkdata.org/asset/186e0956.png">

D-3: Obtain protein sequences (in a similar way to D-1)

 
<img style="width:600px;" src="http://app.linkdata.org/asset/cd7ab81a.png">

D-4: Reverse translation (in a similar way to D-2)

 
<img style="width:600px;" src="http://app.linkdata.org/asset/8b88ddb0.png">

D-5: Concatenate two DNA sequences

 

Concatenate two DNA sequences “hpsDnaSeq” (reverse translated in ④-2) and “phiDnaSeq” (reverse translated in ④-4), and store the DNA sequence in variable named “dnaSeq”.

D-6: Display the result

 
Display the DNA sequence “dnaSeq” in the program executing area.
HTML tags are embedded in the result display area. By appending the strings of DNA sequence into the tag, the design results are displayed.
 

<div>
<img style="width:600px;" src="http://app.linkdata.org/asset/2892d511.png"> 
 
<img style="width:400px;" src="http://app.linkdata.org/asset/e040a04f.png">

<h2>Expected Results</h2>

The plant should get the function to eliminate formaldehyde by inserting two enzymes, HPS (3-hexulose-6-phosphate synthase) and PHI (6-phospho-3-hexuloisomerase) into the Calvin Cycle of the plant.

<h2>Importance of This Design</h2>

It is known that codon usage is dependent on species. In this design, I reverse transcribed the protein sequences from Mycobacterium gastri to DNA sequences using codons with highest frequency. This is efficient, simple, and easy to understand example of JavaScript coding to construct a DNA sequence created by reverse transcription. There are many possibilities to improve on this design.

<h2>References</h2>
<ul>
<li>
L. M. Chen, H. Yurimoto, K. Z. Li, I. Orita, M. Akita, N. Kato, Y.Sakai, and K. Izui. 2010. 
"Assimilation of formaldehyde in transgenic plants due to the introduction of the bacterial ribulose monophosphate pathway genes."
Biosci. Biotechnol. Biochem., 2010. 74:627-635.
</li>
<li>
Mitsui R, Sakai Y, Yasueda H, Kato N. 2000.
"A novel operon encoding formaldehyde fixation: the ribulose monophosphate pathway in the gram-positive facultative methylotrophic bacterium Mycobacterium gastri MB19." J Bacteriol.. 182:944-948.
</li>
</ul>

<hr>
 
<a href="http://50.87.23.181/wp-content/uploads/2012/06/photo-1.jpg"><img src="http://50.87.23.181/wp-content/uploads/2012/06/photo-1-1024x1024.jpg" alt="" title="Transgenic Arapbidopsis thaliana plant with synthesized DNA for a winning contestant of the first GenoCon 2010" class="size-large wp-image-2487" height="545" width="545"></a> <big>Transgenic Arapbidopsis thaliana plant with synthesized DNA designed by Finalist participant of the first GenoCon 2010 Challenge</big>
 <hr>

</div>

ドラッグ&ドロップ、または"参照"ボタンをクリックしてファイルをアップロード

アップロード可能なファイルのサイズは1MBです。(bmp,gif,jpeg,jpg,png)

アプリの設定

アプリ作品の情報を入力してください。

*必須項目

アカウント名

アプリ作品のタイトル*: 削除; 削除; 別の言語で名前を追加する

共同編集者

画像: jpg, gif, png 形式の画像をアップロードできます

ウェブサイト: x

ウェブサイトを追加

タグ

ライセンス

API version

アプリの開発費: ￥

アプリの年間維持費: ￥

説明文: Modify our sample program with your own improvements. If you are only using this prepared data, you do not need to add any new data to LinkData. Copy this sample program using the “Fork this app as your new one” button at the bottom! for more information see: <a href="http://genocon.org/assignment-2012/assignment-b/how-to-enter-challengeb/">http://genocon.org/assignment-2012/assignment-b/how-to-enter-challengeb/</a> This area is for writing your GenoCon2 Abstract. The guidelines below are for writing a 5 line abstract. An image should also be included. Please see the "ReadMe" tab for Challenge B sample report. <H1 ALIGN="CENTER" > Title: Design for combining HPS (3-hexulose-6-phosphate synthase) and PHI (6-phospho-3-hexuloisomerase) </H1> <H2>Abstract</H2> Formaldehyde is known as a harmful substance to the human body and cause sick house syndrome. If there was a plant which is able to absorb formaldehyde and remove it effectively, we might be able to prevent sick house syndrome by putting the plant in the room. However, general plants have little function to absorb formaldehyde. In this design, we have used JavaScript to design DNA sequence to add such a function to a model plant.The resulting design is efficient, simple, and easy to understand example of JavaScript coding to construct a DNA sequence created by reverse transcription. There are many possibilities to improve on this design. 削除; <サンプルプログラムの改変方法> データ登録に関して：もしサンプルで登録した配列のみを利用する場合、LinkDataに新規にデータを登録する必要はありません。 サンプルデータのコピーの仕方：アプリケーション枠にある"このアプリをForkして新しいアプリを作る"（青いボタン）をクリックして、プログラムをコピーすると、JavaScriptが改変できます。 GenoConエントリーの詳細情報： <a href="http://genocon.org/ja/challenges/assignment-b/application_method/">http://genocon.org/ja/challenges/assignment-b/application_method/</a> ここにはGenoCon2 課題Bのタイトル例とショート要旨例を示します。レポートの例は、"ReadMe"タブ（アプリケーション枠ないのグレーのタブ）の中を参考にしてください。デザインの重要なポイントを図示するなどして、デザインやプログラムのアイディアを説明してください。 <H2> タイトル: 細菌の HPS (3-ヘキスロース-6-リン酸合成酵素) と PHI (6-ホスホ-3-ヘキスロイソメラーゼ)を利用した、ホルムアルデヒドの固定 </H2> <H2>要旨:</H2>(言語は日本語か英語での提出となります) この課題Bサンプルでは、Chen LM, et al. (Biosci Biotechnol Biochem. 74(3):627-35. 2010.)のアイディアに従い、HPSとPHIの２つの遺伝子を導入します。その際、Chen LMらは、細菌の遺伝子をそのままシロイヌナズナに導入していますが、本サンプルでは、コドンの使用頻度をシロイヌナズナで高頻度に使われているものに置き換えます。それによりシロイヌナズナでの翻訳効率を上げ、ホルムアルデヒドの固定能の向上を目指しました。コドンの最適化においては、シロイヌナズナの全CDSを対象にコドンの使用頻度を計算し、各コドンの中で最もよく使われているコドンを使うようにしました。 削除; 別の言語で説明を追加する

公開範囲: public limited private

: finish Editing

データ作品

アプリの設定

アプリ作品の情報を入力してください。

履歴