Difference between revisions of "Team:Greece/Description scripts"

Revision as of 07:29, 1 November 2017

function importScientific(){

/* Sub section 1 and General (titles and src) */

  $.ajax({
   "url": 'https://static.igem.org/mediawiki/2017/0/0c/Greekom_subsection1.txt',
   "type": "GET",
   "dataType": "text",
   "timeout": 10000,
   "data": {}

}).done(function(data, textStatus, jqxhr) {

/* General - Execute once */

   $('#label').html('At a glance');
   $('#mode').val('simple');
   $('#label').css('right', '199px');

/* Header */

   $('#header').html('Project Description');
   $('#sub_header_1').html('BIO-LOGICAL INFORMATION PROCESSING');
   $('#sub_header_3').html('APPLICATIONS OF BIOLOGICAL COMPUTERS');
   $('#sub_header_4').html('pANDORRA: A BIOLOGICAL COMPUTER TO TREAT CANCER');
   $('#sub_header_5').html('WHY COLORECTAL CANCER?');
   $('#sub_header_6').html('TRANSFERENCE TO CANCER CELLS');

/* Images */ $('#image_1').attr({'src' : 'https://static.igem.org/mediawiki/2017/3/36/Greekom_image1.png'}); $('#image_2').attr({'src' : 'https://static.igem.org/mediawiki/2017/b/b1/Greekom_image2_glance.png'}); $('#image_3').attr({'src' : 'https://static.igem.org/mediawiki/2017/0/09/Greekom_image3_glance.gif'});

/* Section 1 */

   $('#sub_section_1').html(data);

   console.log('This is from console alone' + data);

}).fail(function(jqxhr, textStatus, errorThrown) {

   //Write code to be executed when the request FAILS.

});

/* Sub section 2 */

  $.ajax({
   "url": 'https://static.igem.org/mediawiki/2017/d/d0/Greekom_subsection2.txt',
   "type": "GET",
   "dataType": "text",
   "timeout": 10000,
   "data": {}

}).done(function(data, textStatus, jqxhr) {

/* Section */

   $('#sub_section_2').html(data);

}).fail(function(jqxhr, textStatus, errorThrown) {

   //Write code to be executed when the request FAILS.

});

/* Sub section 3 */

  $.ajax({
   "url": 'https://static.igem.org/mediawiki/2017/3/34/Greekom_subsection3_glance.txt',
   "type": "GET",
   "dataType": "text",
   "timeout": 10000,
   "data": {}

}).done(function(data, textStatus, jqxhr) {

/* Section */

   $('#sub_section_3').html(data);

}).fail(function(jqxhr, textStatus, errorThrown) {

   //Write code to be executed when the request FAILS.

});

/* Sub section 4 */

  $.ajax({
   "url": 'https://static.igem.org/mediawiki/2017/2/21/Greekom_subsection4_glance.txt',
   "type": "GET",
   "dataType": "text",
   "timeout": 10000,
   "data": {}

}).done(function(data, textStatus, jqxhr) {

/* Section */

   $('#sub_section_4').html(data);

}).fail(function(jqxhr, textStatus, errorThrown) {

   //Write code to be executed when the request FAILS.

});

/* Sub section 5 */

  $.ajax({
   "url": 'https://static.igem.org/mediawiki/2017/0/06/Greekom_subsection5_glance.txt',
   "type": "GET",
   "dataType": "text",
   "timeout": 10000,
   "data": {}

}).done(function(data, textStatus, jqxhr) {

/* Section */

   $('#sub_section_5').html(data);

}).fail(function(jqxhr, textStatus, errorThrown) {

   //Write code to be executed when the request FAILS.

});

/* Sub section 6 */

  $.ajax({
   "url": 'https://static.igem.org/mediawiki/2017/c/ca/Greekom_subsection6_glance.txt',
   "type": "GET",
   "dataType": "text",
   "timeout": 10000,
   "data": {}

}).done(function(data, textStatus, jqxhr) {

/* Section */

   $('#sub_section_6').html(data);

}).fail(function(jqxhr, textStatus, errorThrown) {

   //Write code to be executed when the request FAILS.

});

/* Sub section 7 */

  $.ajax({
   "url": 'https://static.igem.org/mediawiki/2017/0/07/Greekom_subsection7_glance.txt',
   "type": "GET",
   "dataType": "text",
   "timeout": 10000,
   "data": {}

}).done(function(data, textStatus, jqxhr) {

/* Section */

   $('#sub_section_7').html(data);

}).fail(function(jqxhr, textStatus, errorThrown) {

   //Write code to be executed when the request FAILS.

});

$('#Description').removeClass('grayscale');

}

function importGeneral(){

 $.ajax({
   "url": 'https://static.igem.org/mediawiki/2017/1/12/Greekom_text1.txt',
   "type": "GET",
   "dataType": "text",
   "timeout": 10000,
   "data": {}

}).done(function(data, textStatus, jqxhr) {

/* General - Execute once */

   $('#mode').val('scientific');
   $('#label').html('In depth');
   $('#label').css('right', '210px');
   console.log('This is from console alone' + data);

/* Header */

   $('#header').html('Project Description');
   $('#sub_header_1').html('BIOMOLECULAR COMPUTING');
   $('#sub_header_3').html('APPLICATIONS OF BIOMOLECULAR COMPUTERS');
   $('#sub_header_4').html('pANDORRA: PROGRAMMABLE AND OR RNAi ASSEMBLY');
   $('#sub_header_5').html('COLORECTAL CANCER');
   $('#sub_header_6').html('A HOLISTIC CANCER THERAPY');

/* Section 1 */

   $('#sub_section_1').html(data);

Being assembled exclusively from biomolecules, these circuits possess two highly advantageous characteristics; being compatible with in vivo applications and exhibiting the remarkable information processing potential of biological systems which opens up opportunities for a variety of applications.

• 1. Creation of intelligent diagnostic systems capable of molecular profiling a disease state and subsequent emission of a detectable signal. [3]
• 2. Creation of intelligent therapeutic systems capable of selective actuation upon a predetermined molecular profile. [3]
• 3. Creation of biomolecular high-throughput assays for RNA profiling. [4]
• 4. Application of highly parallel and energy efficient computing for computationally complex problems. [5]
• 5. Information storage and retrieval. [6]

And many more yet to be imagined...

MicroRNAs (miRNAs) constitute ideal building blocks for biochemical logic circuits as they inherently implement a NOR gate upon the gene they regulate. [7] In fact, any logic formula can be computed by miRNAs acting upon multiple transcriptional and post-transcriptional regulators and synthetic miRNAs encoded by them. [2] Therefore, we focused our efforts on developing a toolbox of highly modular and interchangeable parts, sufficient to assemble a plethora of customizable, multi-leveled circuits, enabling easy manipulations of miRNA inputs as well as circuit topologies to accommodate a less arduous application of classifying circuits by prospective iGEM teams and the entire SynBio community. We applied our engineered circuit in our cell line of interest, Caco-2, to actuate selective protein expression upon integration of multiple miRNA inputs, elicited from our model as quintessential to optimize our circuit’s classifying ability, demonstrating the feasibility of approaching colorectal cancer therapeutics with molecular-profiling-based expression systems of proteins of therapeutic potential.

Colorectal cancer (CRC) is the second most common cause of cancer-related death in the US. [8] CRC's lifetime prevalence equals 4.7% and 4.4% for men and women respectively, whereas the 5- and 10-year survival rate is 65% and 58% respectively. An array of novel methods and approaches have been described over the last years based on our increasing knowledge of the molecular events that contribute to carcinogenesis and tumor proliferation, however the go-to method for CRC's treatment remains surgical excision along with chemotherapy (adjuvant or neoadjuvant) and radiation therapy. [9] The aforementioned therapeutic approaches suffer from one or more of the following: nonspecific targeting of cancer cells, insufficient penetration to the target tissue and inadequate cytotoxicity, all of which are associated with increased mortality and decreased quality of life. [10]

   console.log('This is from console alone' + data);
   $('#sub_section_5').html('Towards our vision of an RNAi-based logic circuit application to cancer treatment, inspired by the bottom-up philosophy of synthetic biology, we could not help but envision what characteristics the ideal cancer treatment should entail. Our notion essentially described a controllable agent to transfer the classifier plasmids, providing selective targeting, enhanced motility and therefore penetration to tissues of interest as well as responsiveness to external stimuli operating as control signals. Bacteria are surprisingly well suited to perform this transference, due to their inherent propensity to favor colonization of tumorous tissue owing to the advantageous growth conditions that cancer microenvironment exhibits as well as the fact that they naturally possess biological mechanisms which can be exploited by means of synthetic biology to perform the aforementioned functions. [10] We engineered a strain of E. coli capable of selective binding to colorectal cancer cells and expressing invasion machinery under the control of a quorum sensing system so as to achieve cell density-dependent invasion, associated with tumorous microenvironment.');
   $('#sub_section_6').html(data);
   //$('#sub_section_7').html();

}).fail(function(jqxhr, textStatus, errorThrown) {

   //Write code to be executed when the request FAILS.

});

$('#Description').addClass('grayscale');

}