Team:Brasil-SP

From 2014.igem.org

(Difference between revisions)

Revision as of 13:37, 17 October 2014

[[Image:{{{headersrc}}}|1079px]]

Project Description

     Our project consists of a biological molecular device for detection of early stage chronic kidney disease using Cystatin C as biomarker and Bacillus subtilis as chassis. The genetic circuit being assembled is based on the outstanding project of iGEM 2010 Imperial College of London team (special thanks to the ex-iGEMer Christopher Hirst, who helped us a lot sending some important BioBricks). Part of our mission is also to improve characterization of the BioBricks developed in 2010 and to validate the molecular design as Cystatin C detection system. This flexibility of detection is based on a protease cleavage of a membrane protein which triggers the genetic circuit. Since any cleavage site could be designed, virtually any protease could be used as a signal for the detection. In our case, the disease biomarker will inhibit the action of Cathepsin S protease and the detection will be made indirectly and negatively - i.e. by the Cathepsin lack of protease activity and absense of the system output. We are on the way to assemble all the parts and properly characterize each part of our construction on time for the Jamboree.
     To address a real world situation, we are working on the same principle and aesthetics of the well known devices for biodetection like pregnancy or HIV tests: easy-to-use microfluidic devices. The plan is to design a microchip able to store spores of the developed strains of B. subtilis and safely expose blood samples to our biodetection system, successfully containing the biomaterial and enabling a proper discard of the chip. A priori, the device output monitoring would require a fluorescence detector tool, but we also propose a naked eye output observation as a concept for future prospects.
      Since we are working on a solution for a problem directly related to ordinary people, having a public feedback about synthetic biology is very important to analyze the social impact of our work and it help us to evaluate the biosafety and bioethical issues beyond a simple risk analysis - a sociological characterization of the values of our project. Thus, as a policy and practices approach, we will try to report Brazil's public opinion on these issues using a questionnaire to evaluate our actual scenario and, in a certain way, our own project.

Wiki Pre Structure (Under Construction!)

This is the initial wiki pre structure that might be changed over its development. Everything here is merely provisional!

Home
The Issue
The Project
Modeling (Question: how many pages we'll really need here!? Modelling guys must have the answer.)
Results
Outreach (The "Human Practices" part)
Notebook
Team
- Members ("Team" + "Team Official Profile" (linking it) + "Attributions")
- Collaborations (Maybe the page "Working Together" is enought for this subject, right!?)
- Sponsors & Support

Abstract

In collaboration with the team Paris_Saclay, several abstracts were translated to different languages. The main objective is to divulgate the iGEM projects to the greatest number of people as possible.

English: Kidney sensing – toward a bacterial biosensor engineered for early stages chronic kidney disease

Chronic Kidney Disease (CKD), which is characterized by alterations in kidney functions and structure, affects millions of people worldwide and a large portion of them is unaware of it. Absence of symptoms in early stages leads to a late diagnosis when patients need dialysis or even transplants. Currently, CKD is diagnosed by measuring creatinine levels in blood, which in turn are detectable only at late stages of renal dysfunction as well as are sensitive to factors such as diet, gender, ethnicity, age, muscle mass. We report the development of a biosensor that can diagnosis CKD in its early stages, identifying a biomarker named Cystatin C. Using a cell surface biosensor as detector and quorum-sensing system as transducer and response mechanism, we developed a genetic circuit that establishes a threshold, differentiating concentration ranges of Cystatin C. We envisioned it as a fast, simple and reliable tool for CKD screening and diagnosis.

Português: Kidney sensing – Desenvolvendo um Biossensor Bacteriano para Diagnóstico de Estágios Iniciais da Doença Renal Crônica

A Doença Renal Crônica (DRC), caracterizada por alterações nas funções e na estrutura dos rins, afeta milhões de pessoas no mundo todo e grande porção delas não tem consciência disso. A ausência de sintomas em estágios iniciais leva a um diagnóstico tardio, quando os pacientes já necessitam de diálise ou até mesmo de transplantes. Atualmente, a DRC é diagnosticada através da quantificação de creatinina no sangue, que por sua vez é alterada a proporções detectáveis somente nos estágios mais avançados da disfunção renal, como também é sensível a fatores como: dieta, gênero, etnia, idade e massa muscular. Reportamos aqui o desenvolvimento de um biossensor que pode diagnosticar DRC em seus estágios iniciais, identificando um biomarcador chamado Cistatina C. Usando a membrana celular como detector e um sistema de quorum sensing como mecanismo de transdução e de resposta, desenvolvemos um circuito gênico que estabelece uma barreira e diferencia faixas de concentração de Cistatina C. Nós o idealizamos como uma ferramenta rápida, simples e confiável para o diagnóstico de DRC. (Translated by Brasil-SP Team)

Français

L’insuffisance rénale chronique (CDK) est caractérisée par une altération de la fonction et de la structure du rein. Elle atteint des millions de personnes à travers le monde mais un grand nombre d’entre elles ignorent qu’elles en sont atteintes. L’absence de symptômes au cours des stades précoces retarde le diagnostique et les patients ont d’ores et déjà besoin de dialyse ou même d’une transplantation. Actuellement, le diagnostique repose sur le dosage sanguin de la créatinine qui n'est détectable qu'au stade de dysfonction rénale et est influencé par différents facteurs tels que le jeûne, le genre, l’origine ethnique, l’âge et la masse musculaire. Nous avons développé un biosenseur capable de détecter cette maladie à des stades précoces grâce à l’identification d’un biomarqueur appelé Cystatin C. En ajoutant un biosenseur à la surface des cellules comme détecteur et un système de quorum-sensing comme mécanisme de transduction et de réponse, nous avons développé un circuit génétique à seuil permettant la détection de différentes gammes de concentrations en Cystatin C. Nous pensons que cet outil permet un dépistage et un diagnostique de l’insuffisance rénale rapide, simple et fiable.

Néerlandais: Nier sensing – Naar een bacteriële biosensor ontwikkeld voor het opsporen van vroege stadia van nieraandoeningen

Chronisch nierfalen, gekenmerkt door veranderingen in functie en structuur van de nier, treft miljoenen mensen wereldwijd en de meesten van hen zijn zich er niet van bewust. Een gebrek aan symptomen in vroege stadia van de ziekte leidt tot late diagnose wanneer patienten al dialyse of zelfs transplantatie nodig hebben. Momenteel wordt chronisch nierfalen gediagnostiseerd door het creatine niveau in het bloed te meten wat alleen meetbaar is in late stadia van nierfalen en gevoelig is voor factoren als dieet, geslacht, herkomst, leeftijd en spiermassa. We bespreken de ontwikkeling van een biosensor die nierfalen in vroege stadia kan diagnostiseren door de biomarker Cytostatin C te identiceren. Met een biosensor aan het oppervlak van de cel als detector en een quorum-sensing system als transductie en reactive mechanism hebben wij een genetisch circuit ontwikkeld dat een drempelwaarde vast kan stellen om te discrimineren tussen concentraties van Cytostatine C. Wij voorzien dat een snel, simpel en betrouwbaar gereedschap wordt voor screening en diagnose van nierfalen.

Requirements

Please be sure to keep these links, your audience will want to find your:

There are a few wiki requirements teams must follow:

All pages, images and files must be hosted on the 2014.igem.org server.
All pages must be created under the team’s name space.
As part of your documentation, keep the links from the menu to the left.
Do not use flash in wiki code.
The iGEM logo should be placed on the upper part of every page and should link to 2014.igem.org.

Visit the Wiki How To page for a complete list of requirements, tips and other useful information.

Tips

We are currently working on providing teams with some easy to use design templates.
In the meantime you can also view other team wikis for inspiration! Here are some very good examples

For a full wiki list, you can visit iGEM 2013 web sites and iGEM 2012 web sites lists.

This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started:

State your accomplishments! Tell people what you have achieved from the start.
Be clear about what you are doing and what you plan to do.
You have a global audience! Consider the different backgrounds that your users come from.
Make sure information is easy to find; nothing should be more than 3 clicks away.
Avoid using very small fonts and low contrast colors; information should be easy to read.
Start documenting your project as early as possible; don’t leave anything to the last minute before the Wiki Freeze. For a complete list of deadlines visit the iGEM 2013 calendar
Have lots of fun!

@@ Line 120: / Line 120: @@
 <td colspan="3"><h2 align="center">Português: Kidney sensing – Desenvolvendo um Biossensor Bacteriano para Diagnóstico de Estágios Iniciais da Doença Renal Crônica</h2>
 <p><div align="justify">A Doença Renal Crônica (DRC), caracterizada por alterações nas funções e na estrutura dos rins, afeta milhões de pessoas no mundo todo e grande porção delas não tem consciência disso. A ausência de sintomas em estágios iniciais leva a um diagnóstico tardio, quando os pacientes já necessitam de diálise ou até mesmo de transplantes. Atualmente, a DRC é diagnosticada através da quantificação de creatinina no sangue, que por sua vez é alterada a proporções detectáveis somente nos estágios mais avançados da disfunção renal, como também é sensível a fatores como: dieta, gênero, etnia, idade e massa muscular. Reportamos aqui o desenvolvimento de um biossensor que pode diagnosticar DRC em seus estágios iniciais, identificando um biomarcador chamado Cistatina C.
-Usando a membrana celular como detector e um sistema de quorum sensing como mecanismo de transdução e de resposta, desenvolvemos um circuito gênico que estabelece uma barreira e diferencia faixas de concentração de Cistatina C. Nós o idealizamos como uma ferramenta rápida, simples e confiável para o diagnóstico de DRC.
+Usando a membrana celular como detector e um sistema de quorum sensing como mecanismo de transdução e de resposta, desenvolvemos um circuito gênico que estabelece uma barreira e diferencia faixas de concentração de Cistatina C. Nós o idealizamos como uma ferramenta rápida, simples e confiável para o diagnóstico de DRC. (Translated by <a href="https://2014.igem.org/Team:Brasil-SP" >Brasil-SP Team</a>)
 </div></p>