Igor Hamoy

Dr. Igor Hamoy


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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5 July 2018 in Genome Biology and Evolution
Verified
Journal Article
Open access
PDF file
RVRicardo Vialle
Ricardo Vialle
JSJorge Estefano Santana de Souza
Jorge Estefano Santana de Souza
KLKatia Lopes
Katia Lopes
DTDiego Gomes Teixeira
Diego Gomes Teixeira
PSPitágoras de Azevedo Alves Sobrinho
Pitágoras de Azevedo Alves Sobrinho
SSSidney Santos
Sidney Santos
The Pirarucu (Arapaima gigas) is one of the world’s largest freshwater fishes and member of the superorder Osteoglossomorpha (bonytongues), one of the oldest lineages of ray-finned fishes. This species is an obligate air-breather found in the basin of the Amazon River with an attractive potential for aquaculture. Its phylogenetic position among bony fishes makes the Pirarucu a relevant subject for evolutionary studies of early teleost diversification. Here, we present, for the first time, a draft genome version of the A. gigas genome, providing useful information for further functional and evolutionary studies. The A. gigas genome was assembled with 103-Gb raw reads sequenced in an Illumina platform. The final draft genome assembly was ∼661 Mb, with a contig N50 equal to 51.23 kb and scaffold N50 of 668 kb. Repeat sequences accounted for 21.69% of the whole genome, and a total of 24,655 protein-coding genes were predicted from the genome assembly, with an average of nine exons per gene. Phylogenomic analysis based on 24 fish species supported the postulation that Osteoglossomorpha and Elopomorpha (eels, tarpons, and bonefishes) are sister groups, both forming a sister lineage with respect to Clupeocephala (remaining teleosts). Divergence time estimations suggested that Osteoglossomorpha and Elopomorpha lineages emerged independently in a period of ∼30 Myr in the Jurassic. The draft genome of A. gigas provides a valuable genetic resource for further investigations of evolutionary studies and may also offer a valuable data for economic applications.

1 January 2015 in Bioinformatics and Biology Insights
Verified
Journal Article
Open access
MAMonica B. Assumpção
Monica B. Assumpção
Fabiano MoreiraFabiano Moreira
Fabiano Moreira
IHIgor Hamoy
Igor Hamoy
LMLeandro Magalhães
Leandro Magalhães
AVAmanda Vidal
Amanda Vidal
PAPaulo Assumpção
Paulo Assumpção
Field effect in cancer, also called “field cancerization”, attempts to explain the development of multiple primary tumors and locally recurrent cancer. The concept of field effect in cancer has been reinforced, since molecular alterations were found in tumor-adjacent tissues with normal histopathological appearances. With the aim of investigating field effects in gastric cancer (GC), we conducted a high-throughput sequencing of the miRnome of four GC samples and their respective tumor-adjacent tissues and compared them with the miRnome of a gastric antrum sample from patients without GC, assuming that tumor-adjacent tissues could not be considered as normal tissues. The global number of miRNAs and read counts was highest in tumor samples, followed by tumor-adjacent and normal samples. Analyzing the miRNA expression profile of tumor-adjacent miRNA, hsa-miR-3131, hsa-miR-664, hsa-miR-483, and hsa-miR-150 were significantly downregulated compared with the antrum without tumor tissue ( P-value < 0.01; fold-change < 5). Additionally, hsa-miR-3131, hsa-miR-664, and hsa-miR-150 were downregulated ( P-value < 0.001) in all paired samples of tumor and tumor-adjacent tissues, compared with antrum without tumor mucosa. The field effect was clearly demonstrated in gastric carcinogenesis by an epigenetics-based approach, and potential biomarkers of the GC field effect were identified. The elevated expression of miRNAs in adjacent tissues and tumors tissues may indicate that a cascade of events takes place during gastric carcinogenesis, reinforcing the notion of field effects. This phenomenon seems to be linked to DNA methylation patterns in cancer and suggests the involvement of an epigenetic network mechanism.


12 August 2013 in Molecular Ecology Resources
Verified
Journal Article
Closed access
PDF file
MCMolecular Ecology Resources Primer Development Consortium
Molecular Ecology Resources Primer Development Consortium
CACecilia Agostini
Cecilia Agostini
RARafael G. Albaladejo
Rafael G. Albaladejo
AAA. Aparicio
A. Aparicio
WAWolfgang Arthofer
Wolfgang Arthofer
SZShu‐Huan Zhang
Shu‐Huan Zhang

17 July 2010 in Conservation Genetics Resources
Verified
Journal Article
Closed access
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IHIgor Hamoy
Igor Hamoy
FCFernanda Witt Cidade
Fernanda Witt Cidade
MBMaria Silvanira Barbosa
Maria Silvanira Barbosa
EGEvonnildo Costa Gonçalves
Evonnildo Costa Gonçalves
SSSidney Santos
Sidney Santos

23 August 2021 in Acta Parasitologica
Verified
Journal Article
Closed access
PDF file
LBLuana Silva Bittencourt
Luana Silva Bittencourt
DSDiehgo Tuloza da Silva
Diehgo Tuloza da Silva
IHIgor Hamoy
Igor Hamoy
ACAbthyllane Amaral de Carvalho
Abthyllane Amaral de Carvalho
MSMarcelo Francisco da Silva
Marcelo Francisco da Silva
EMEdilson Matos
Edilson Matos