Miguel Angel García-Campos

Miguel Angel García-Campos

A biologist working on RNA modifications .

About

alt text

Hello, my name is Miguel. I am a biologist with great interest in understanding life from a quantitative and systematic perspective. My latest work focused on advancing the understanding of RNA modifications, working in the development of technologies to detect and quantify different moieties across whole transcriptomes. I did this work under the guidance of Schraga Schwartz at his lab in the Weizmann Institute of Science, along with lab colleagues and external international collaborators.

I am curently looking for a prospective lab to continue my work as a postdoctoral fellow in a more translational research environment. I am interested in taking my experience and expertise to the fields of aging, cancer, and immunosenescence.

In my latest work “Pan-modification profiling facilitates a cross-evolutionary dissection of the thermoregulated ribosomal epitranscriptome”, Cell , we developed “Pan-Mod-seq” an RNA-seq technology that allows to detect and measure 16 different RNA moieties in the same workflow, across dozens of samples. This allowed us to interrogate 14 species across the three domains of the tree of life, six bacterial, six archeal, and two eukaryotic organisms, adressing the potential dynamic nature of rRNA modifications under different growth conditions. The growing conditions we used involved gradients of temperatures, pH, salinity, and growth density. Our results showed that rRNA modifications have evolutionarily relevant conservation across species of the same domain, and although most detected rRNA modifications were not proven to be dynamic in mesophiles, around 50% of them were dynamic in extremophiles and are needed to sustain life in such conditions. Furthermore, our results showed that these modifications can work synergistically to stabilize rRNA under high temperatures, having an exquisite regulation mediated by the coupling of secondary structure and temperature change.

I have also developed software to facilitate the processing, analysis, and visualization of RNA-seq data for the study of transcritomics. txtools is an R package that processes RNA-seq read alignments into transcriptomic-oriented tables. Enabling a quick and simplified analysis, to closely inspect summarized RNA-seq data per transcript {coverage, nucleotide frequency, and deletions}, at nucleotide resolution. Installation and a primer can be found at it Github repo

Last Year GitHub contributions

Miguel's GitHub contributions in the last year
Powered by githubchart-api

Status Updates