Mário Henrique Bengtson

Universidade Estadual de Campinas (UNICAMP)

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Mari Cleide Sogayar

Universidade de São Paulo

Katlin B. Massirer

Universidade Estadual de Campinas (UNICAMP)

Claudio A.P. Joazeiro

The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology

Natássia Cristina Martins Oliveira

Universidade Estadual de Campinas (UNICAMP)

Alysson R. Muotri

University of California, San Diego

ÉM

Érico Moreto Lins

Universidade Estadual de Campinas (UNICAMP)

Adriano Ferrasa

Universidade Estadual de Ponta Grossa

Osvaldo Reis

Universidade Estadual de Campinas (UNICAMP)

Roberto H. Herai

Pontifícia Universidade Católica do Paraná

Suely Kazue Nagahashi Marie

Universidade de São Paulo

Cooperative Institutions

Universidade de São Paulo

146

Universidade Estadual de Campinas (UNICAMP)

115

Universidade Federal de São Paulo

Universidade Estadual Paulista (Unesp)

Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo

Universidade Brasil

Scripps Research Institute

Instituto Butantan

Hospital Universitário da Universidade de São Paulo

Novartis (Switzerland)

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Hunting for differentially expressed genes

Brazilian Journal of Medical and Biological Research (1999)

Cleber Giovane Vedoy Mário Henrique Bengtson Mari Cleide Sogayar

Differentially expressed genes are usually identified by comparing steady-state mRNA concentrations. Several methods have been used for this purpose, including differential hybridization, cDNA subtraction, differential display and, more recently, DNA chips. Subtractive hybridization has significantly improved after the polymerase chain reaction was incorporated into the original method and many new protocols have been established. Recently, the availability of the well-known coding sequences for some organisms has greatly facilitated gene expression analysis using high-density microarrays. Here, we describe some of these modifications and discuss the benefits and drawbacks of the various methods corresponding to the main advances in this field.

10.1590/s0100-879x1999000700012

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Citations (16)

Additional file 9 of Genome-wide translation control analysis of developing human neurons

Figshare (2022)

Érico Moreto Lins Natássia Cristina Martins Oliveira Osvaldo Reis Adriano Ferrasa Roberto H. Herai

Additional file 9: Table S2. Gene Ontology analysis data.

10.6084/m9.figshare.20079316

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Advancing structural insights and inhibitor development for RQT complex via a fragment-based discovery platform

Biophysical Journal (2024)

Ítalo Esposti Poly da Silva Israel C. Vasconcelos Katlin B. Massirer Mário Henrique Bengtson

10.1016/j.bpj.2023.11.2208

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Differentially expressed sequences from a cestode parasite reveals conserved developmental genes in platyhelminthes

Molecular and Biochemical Parasitology (2005)

Cristiano Valim Bizarro Mário Henrique Bengtson Felipe Klein Ricachenevsky Arnaldo Zaha Mari Cleide Sogayar

Flatworm

Conserved sequence

10.1016/j.molbiopara.2005.07.002

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Isolamento de seqüências diferencialmente expressas em duas faces do ciclo vital de Mesocestoides corti

Felipe Klein Ricachenevsky Cristiano Valim Bizarro Mário Henrique Bengtson Mari Cleide Sogayar Arnaldo Zaha

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GENE EXPRESSION PROFILING IN INSULIN-PRODUCING NEUROENDOCRINE CARCINOMA

Pancreas (2005)

S V S Maria Lúcia Corrêa‐Giannella Márcio Carlos Machado Marco Aurélio Amador Pereira Karin Krogh

Background/Aim: Insulinomas represent the most common type of pancreatic islet tumor with malignancy rate of 5 to 10 %. Traditional biochemical and histopathological methods allow neither the accurate diagnosis of the malignancy nor the identification of the biological behavior of such neoplasms. The aim of this study was to assess the differential gene expression profiling between malignant and non-malignant insulinomas, in order to identify genes involved in the malignancy and carcinogenesis process. Methods: Twenty-five samples of insulinomas were collected; 23 of them were non-metastatic insulinomas and 2 were liver metastases. Two methodologies were employed: 1) Suppressive Subtractive Hybridization-SSH (PCR Select cDNA Subtraction Kit, BD Biosciences Clontech) and Microarrays (CodeLink UniSet Human 20K I Bioarray, GE Healthcare). Results: These techniques enabled the identification of a great number of genes, many of them known to be involved in the tumorigenesis of other tissues. Protease serine 2 gene showed difference when non-metastatic insulinomas are compared to hepatic metastases. mRNA expression by semi-quantitative RT-PCR of six isolated genes demonstrate a great tumor heterogeneity. Hierarchical clustering of patients was performed among tumor size and mRNA expression of the selected genes: thymosin beta 4, tissue inhibitor of metalloproteinase type 3, protease serine 2, p53 apoptosis effector, Max gene associated and SH3 domain Ysc84-like 1. Clustering differentiated four distinct profiles of patients with progressive malignant potential (p < 0.05). Conclusion: There was a great variability in the gene expression of insulinomas, hindering the distinction between non-malignant and malignant phenotype tumors. The resulting expression profiling can contribute to a better understanding of beta cell tumorigenesis.

Suppression subtractive hybridization

10.1097/01.mpa.0000193753.97437.34

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Genome-wide translation control analysis of developing human neurons

Molecular Brain (2022)

Érico Moreto Lins Natássia Cristina Martins Oliveira Osvaldo Reis Adriano Ferrasa Roberto H. Herai

During neuronal differentiation, neuroprogenitor cells become polarized, change shape, extend axons, and form complex dendritic trees. While growing, axons are guided by molecular cues to their final destination, where they establish synaptic connections with other neuronal cells. Several layers of regulation are integrated to control neuronal development properly. Although control of mRNA translation plays an essential role in mammalian gene expression, how it contributes temporarily to the modulation of later stages of neuronal differentiation remains poorly understood. Here, we investigated how translation control affects pathways and processes essential for neuronal maturation, using H9-derived human neuro progenitor cells differentiated into neurons as a model. Through Ribosome Profiling (Riboseq) combined with RNA sequencing (RNAseq) analysis, we found that translation control regulates the expression of critical hub genes. Fundamental synaptic vesicle secretion genes belonging to SNARE complex, Rab family members, and vesicle acidification ATPases are strongly translationally regulated in developing neurons. Translational control also participates in neuronal metabolism modulation, particularly affecting genes involved in the TCA cycle and glutamate synthesis/catabolism. Importantly, we found translation regulation of several critical genes with fundamental roles regulating actin and microtubule cytoskeleton pathways, critical to neurite generation, spine formation, axon guidance, and circuit formation. Our results show that translational control dynamically integrates important signals in neurons, regulating several aspects of its development and biology.

Psychopharmacology

10.1186/s13041-022-00940-9

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Cloning and characterization of two human homologs of the drosophila enhancer of polycomb gene (EPC)

Programa e resumos (2001)

D. N. Nunes Regina Maki Sasahara Mário Henrique Bengtson Luzia H. Carvalho Anamaria A. Camargo

Cloning (programming)

Polycomb-group proteins

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