Team:Tec-Monterrey/sandboxJuan


The modeling of the system was approached through a progressive development of the model. The first model that was proposed consisted on a simple linear differential equation system based on mass-reaction laws of kinetics to describe the interaction of genetic material and the dependence of the productions of each genetic material with the concentrations of the other relevant genetic materials. That is, the various interactions that the compounds have are considered, and for each compound, these interactions define the shape of the differential equation that describes it. The most relevant information to model is the concentration of the CAS complex annexed to the to-be-inserted genetic information. The concentration of this compound is proportional to the probability that the genetic material is inserted into the bacterium, a binomial distribution was considered to describe the probability density function that portrays the behaviour of the insertion system.
Tec-Monterrey

E. coding

E-Coding
Storing the world one base at a time
The research for storing vast amounts of information in smaller devices has been an attention seeking topic in multidisciplinary areas of knowledge all around the world.

DNA is an attractive target for information storage because of its capacity for high-density information encoding, longevity under easily achieved conditions, and proven track record as an information bearer
Baum, 1995
Nevertheless, this potential has been limited due to the lack of efficient editing tools. CRISPR-Cas has become popular as an editing tool for its high specificity, low cost, and easy handling, compared to other editing techniques. In our work, we use Cas1-Cas2, proteins in charge of new protospacer adquisition in the CRISPR array. Predesigned sequences (-70pb aprox) in the form of ssDNA are produced in E.coli by induction of a promoter, and adquired by the complex Cas1-Cas2 to be integrated into the array. To produce this oligonucleotides, we use the retrotranscriptase EC86. A subsequent sequencing of the array will confirm the integration of the oligos in the CRISPR locus. We measure the integration rate in terms of stimuli intensity, and time. We hypothise that this system can store ordered data in vivo of many stimuli, just by changing the promoter.
Team Members
Esteban de la Peña

In charge of making the wiki

Alan Ávila

Team Management/Wet Lab

Adrián Hernández

Interlab managment & Dry Lab

Sofia Lara

In charge of Human Practices

José Arnulfo Juárez Figueroa

Team Management

Ana E. Lasso de la Vega

Team Management

Miranda Iriarte

Congress of Sciences iGEM

Valeria Fuentes

Congress of Sciences iGEM

Juan Fernández

Mathematical Model

Norma Garza

Interlab managment/Drylab

Miriam Salas Ramírez

Congress of Sciences iGEM

Victor Robledo

Wetlab/Drylab

Carlos Javier Cordero

Drylab

Nora Torres

Team Management

Roberto Vásquez

Mathematical Model

Samantha Peña

Human Practices, and design

Andrés Sánchez

Mathematical Model

Diego Valadez

Wiki/Dry Lab

Jesús Héctor López

Dry Lab

Adriana Lizeth Rubio

Mathematical Model

María Eugenia Reyna

Wetlab

Human Practices
Pollutants in Chiapas and Mexico
Our project has many applications, but we decided to face a critical environmental problem in one southern state of Mexico: Chiapas. Chiapas is a beautiful state with megadiverse ecosystems, but it also has a severe water pollution problem that affects many communities close to the natural and polluted water sources. With the help of Cecropia and CONANP we will obtain water samples from the polluted sources and analyze them with several techniques in order to make a valuable overview.

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