Rodrigo de Almeida

Dr. Rodrigo de Almeida

Leiden University Medical Center (LUMC), The Netherlands

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 January 2018 in Non-Coding RNA
Verified
Journal Article
Open access
PDF file
ASAmanda Salviano-Silva
Amanda Salviano-Silva
SLSara Cristina Lobo-Alves
Sara Cristina Lobo-Alves
RARodrigo de Almeida
Rodrigo de Almeida
DMDanielle Malheiros
Danielle Malheiros
MPMaria-Luiza Petzl-Erler
Maria-Luiza Petzl-Erler
A significant proportion of mammalian genomes corresponds to genes that transcribe long non-coding RNAs (lncRNAs). Throughout the last decade, the number of studies concerning the roles played by lncRNAs in different biological processes has increased considerably. This intense interest in lncRNAs has produced a major shift in our understanding of gene and genome regulation and structure. It became apparent that lncRNAs regulate gene expression through several mechanisms. These RNAs function as transcriptional or post-transcriptional regulators through binding to histone-modifying complexes, to DNA, to transcription factors and other DNA binding proteins, to RNA polymerase II, to mRNA, or through the modulation of microRNA or enzyme function. Often, the lncRNA transcription itself rather than the lncRNA product appears to be regulatory. In this review, we highlight studies identifying lncRNAs in the homeostasis of various cell and tissue types or demonstrating their effects in the expression of protein-coding or other non-coding RNA genes.

16 January 2020 in Biomolecules
Verified
Journal Article
Open access
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POPatricia Midori Murobushi Ozawa
Patricia Midori Murobushi Ozawa
EVEvelyn Vieira
Evelyn Vieira
DLDebora Lemos
Debora Lemos
ISINGRID LARISSA MELO DE SOUZA
INGRID LARISSA MELO DE SOUZA
SZSilvio M. Zanata
Silvio M. Zanata
EREnilze Maria de Souza Fonseca Ribeiro
Enilze Maria de Souza Fonseca Ribeiro
MicroRNAs derived from extracellular vesicles (EV-miRNAs) are circulating miRNAs considered as potential new diagnostic markers for cancer that can be easily detected in liquid biopsies. In this study, we performed RNA sequencing analysis as a screening strategy to identify EV-miRNAs derived from serum of clinically well-annotated breast cancer (BC) patients from the south of Brazil. EVs from three groups of samples (healthy controls (CT), luminal A (LA), and triple-negative (TNBC)) were isolated from serum using a precipitation method and analyzed by RNA-seq (screening phase). Subsequently, four EV-miRNAs (miR-142-5p, miR-150-5p, miR-320a, and miR-4433b-5p) were selected to be quantified by quantitative real-time PCR (RT-qPCR) in individual samples (test phase). A panel composed of miR-142-5p, miR-320a, and miR-4433b-5p distinguished BC patients from CT with an area under the curve (AUC) of 0.8387 (93.33% sensitivity, 68.75% specificity). The combination of miR-142-5p and miR-320a distinguished LA patients from CT with an AUC of 0.9410 (100% sensitivity, 93.80% specificity). Interestingly, decreased expression of miR-142-5p and miR-150-5p were significantly associated with more advanced tumor grades (grade III), while the decreased expression of miR-142-5p and miR-320a was associated with a larger tumor size. These results provide insights into the potential application of EVs-miRNAs from serum as novel specific markers for early diagnosis of BC.

Verified
Journal Article
Open access
PDF file
ITIneke Tan
Ineke Tan
DBDonatella Barisani
Donatella Barisani
RPRoberto Panceri
Roberto Panceri
RMRutger Modderman
Rutger Modderman
MVMarijn Visschedijk
Marijn Visschedijk
SWSebo Withoff
Sebo Withoff
Celiac disease (CeD) is triggered by gluten and results in inflammation and villous atrophy of the small intestine. We aimed to explore the role of miRNA-mediated deregulation of the transcriptome in CeD. Duodenal biopsies of CeD patients (n = 33) and control subjects (n = 10) were available for miRNA-sequencing, with RNA-sequencing also available for controls (n = 5) and CeD (n = 6). Differential expression analysis was performed to select CeD-associated miRNAs and genes. MiRNA‒target transcript pairs selected from public databases that also displayed a strong negative expression correlation in the current dataset (R < −0.7) were used to construct a CeD miRNA‒target transcript interaction network. The network includes 2030 miRNA‒target transcript interactions, including 423 experimentally validated pairs. Pathway analysis found that interactions are involved in immune-related pathways (e.g., interferon signaling) and metabolic pathways (e.g., lipid metabolism). The network includes 13 genes previously prioritized to be causally deregulated by CeD-associated genomic variants, including STAT1. CeD-associated miRNAs might play a role in promoting inflammation and decreasing lipid metabolism in the small intestine, thereby contributing unbalanced cell turnover in the intestinal crypt. Some CeD-associated miRNAs deregulate genes that are also affected by genomic CeD-risk variants, adding an additional layer of complexity to the deregulated transcriptome in CeD.

20 December 2017 in Non-Coding RNA
Verified
Journal Article
Open access
PDF file
Daniela GradiaDaniela Gradia
Daniela Gradia
CMCarolina Mathias
Carolina Mathias
RARodrigo de Almeida
Rodrigo de Almeida
ICIglenir J. Cavalli
Iglenir J. Cavalli
EREnilze Maria de Souza Fonseca Ribeiro
Enilze Maria de Souza Fonseca Ribeiro
Jaqueline Carvalho de OliveiraJaqueline Carvalho de Oliveira
Jaqueline Carvalho de Oliveira
Taurine upregulated 1 gene (TUG1) is a long non-coding RNA associated with several types of cancer. Recently, differential expression of TUG1 was found in cancerous breast tissues and associated with breast cancer malignancy features. Although this is evidence of a potential role in breast cancer, TUG1 expression could not be associated with different subtypes, possibly due to the small number of samples analyzed. Breast cancer is a heterogeneous disease and, based on molecular signatures, may be classified into different subtypes with prognostic implications. In the present study, we include analysis of TUG1 expression in 796 invasive breast carcinoma and 105 normal samples of RNA sequencing (RNA-seq) datasets from The Cancer Genome Atlas (TCGA) and describe that TUG1 expression is increased in HER2-enriched and basal-like subtypes compared to luminal A. Additionally, TUG1 expression is associated with survival in HER2-enriched patients. These results reinforce the importance of TUG1 in breast cancer and outline its potential impact on specific subtypes.