Difference between revisions of "Team:Greece/Description scripts"
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/* Sub section 2 */ | /* Sub section 2 */ | ||
$.ajax({ | $.ajax({ | ||
| − | "url": 'https://static.igem.org/mediawiki/2017/ | + | "url": 'https://static.igem.org/mediawiki/2017/1/1a/Greekom_text2.txt', |
"type": "GET", | "type": "GET", | ||
"dataType": "text", | "dataType": "text", | ||
| Line 71: | Line 71: | ||
/* Sub section 4 */ | /* Sub section 4 */ | ||
$.ajax({ | $.ajax({ | ||
| − | "url": 'https://static.igem.org/mediawiki/2017/2/ | + | "url": 'https://static.igem.org/mediawiki/2017/2/2e/Greekom_text4.txt', |
"type": "GET", | "type": "GET", | ||
"dataType": "text", | "dataType": "text", | ||
| Line 103: | Line 103: | ||
/* Sub section 6 */ | /* Sub section 6 */ | ||
$.ajax({ | $.ajax({ | ||
| − | "url": 'https://static.igem.org/mediawiki/2017/ | + | "url": 'https://static.igem.org/mediawiki/2017/a/a7/Greekom_text6.txt', |
"type": "GET", | "type": "GET", | ||
"dataType": "text", | "dataType": "text", | ||
| Line 134: | Line 134: | ||
$('#Description').removeClass('grayscale'); | $('#Description').removeClass('grayscale'); | ||
| − | |||
} | } | ||
| Line 165: | Line 164: | ||
/* Section 1 */ | /* Section 1 */ | ||
$('#sub_section_1').html(data); | $('#sub_section_1').html(data); | ||
| − | $('#sub_section_2').html("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."+ | + | $('#sub_section_2').html("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."+ |
"<ul><li style='list-style:none'>1. Creation of intelligent diagnostic systems capable of molecular profiling a disease state and subsequent emission of a detectable signal. [3]</li>"+ | "<ul><li style='list-style:none'>1. Creation of intelligent diagnostic systems capable of molecular profiling a disease state and subsequent emission of a detectable signal. [3]</li>"+ | ||
"<li style='list-style:none'>2. Creation of intelligent therapeutic systems capable of selective actuation upon a predetermined molecular profile. [3]</li>"+ | "<li style='list-style:none'>2. Creation of intelligent therapeutic systems capable of selective actuation upon a predetermined molecular profile. [3]</li>"+ | ||
| Line 174: | Line 173: | ||
$('#sub_section_3').html("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."); | $('#sub_section_3').html("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."); | ||
| − | $('#sub_section_4').html("Colorectal cancer (CRC) is the second most common cause of cancer-related | + | $('#sub_section_4').html("Colorectal cancer (CRC) is the second most common cause of cancer-related deaths 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); | console.log('This is from console alone' + data); | ||
Latest revision as of 03:57, 16 December 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_2').html();
$('#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/2017/1/1a/Greekom_text2.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/2017/2/2e/Greekom_text4.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/a/a7/Greekom_text6.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_2').html('APPLICATIONS OF BIOMOLECULAR COMPUTERS');
$('#sub_header_3').html('pANDORRA: PROGRAMMABLE AND OR RNAi ASSEMBLY');
$('#sub_header_4').html('COLORECTAL CANCER');
$('#sub_header_5').html('A HOLISTIC CANCER THERAPY');
$('#sub_header_6').html();
/* Section 1 */
$('#sub_section_1').html(data);
$('#sub_section_2').html("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]
$('#sub_section_3').html("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.");
$('#sub_section_4').html("Colorectal cancer (CRC) is the second most common cause of cancer-related deaths 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();
$('#sub_section_7').html();
}).fail(function(jqxhr, textStatus, errorThrown) {
//Write code to be executed when the request FAILS.
});
$('#Description').addClass('grayscale');
$('#display_box').css('height','4650px');
}
