Vinicius Maracaja‐Coutinho

RNA-binding proteins and regulatory networks involved in life-stage, stress temperature, and drug resistance in Leishmania parasites

This paper identifies RNA-binding proteins and regulatory networks in Leishmania parasites across multiple species and conditions, highlighting conserved and lineage-specific RBPs and their roles in life-stage, stress, and drug resistance.

SiteCELL enables on-site PBMCs purification and cryopreservation for immune single cell profiling of diverse ancestries

SiteCELL enables on-site purification and cryopreservation of PBMCs for immune single cell profiling, performing as well as Ficoll density gradient in both lab and rural settings.

Comparative and systems analyses of Leishmania spp. non-coding RNAs through developmental stages

This study identifies and characterizes non-coding RNAs (ncRNAs) across multiple Leishmania species, revealing their genomic structure and functional roles in development and host interaction.

Effects of Willow and Pine tree growth in bacterial abundance, interactions and metabolic profile in a copper mine tailing

This study examines how willow and pine tree growth affects bacterial abundance, interactions, and metabolic profiles in copper mine tailings, finding that tree growth reduces copper levels and promotes more active bacterial communities.

The Single-Cell Landscape of Peripheral and Tumor-infiltrating Immune Cells in HPV- HNSCC

This study analyzes immune cell dynamics in HPV-negative HNSCC using single-cell RNA sequencing to identify molecular signatures and communication patterns associated with disease progression.

Profiling extremophile bacterial communities recovered from a mining tailing against soil ecosystems through comparative genome-resolved metagenomics and evolutionary analysis

The paper analyzes microbial communities from a copper tailing using metagenomics to compare their metabolic and evolutionary traits with soil bacteria, identifying new taxa and functional adaptations.

Single cell transcriptional landscape of long non-coding RNAs orchestrating mouse heart development

The paper identifies lncRNAs involved in mouse heart development using single-cell transcriptomics and co-expression analysis, revealing cell-specific functional insights and associations with disease-related genes.

RNAmining: A machine learning stand-alone and web server tool for RNA coding potential prediction

RNAmining is a tool that uses machine learning to predict RNA coding potential, outperforming existing tools across 15 organisms.