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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Assessing the Impact of Sample Heterogeneity on Transcriptome Analysis of Human Diseases Using MDP Webtool

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Autor(es):
Goncalves, Andre N. A. [1] ; Lever, Melissa [1] ; Russo, Pedro S. T. [1] ; Gomes-Correia, Bruno [2] ; Urbanski, Alysson H. [1] ; Pollara, Gabriele [3] ; Noursadeghi, Mahdad [3] ; Maracaja-Coutinho, Vinicius [2] ; Nakaya, I, Helder
Número total de Autores: 9
Afiliação do(s) autor(es):
[1] I, Univ Sao Paulo, Sch Pharmaceut Sci, Dept Clin & Toxicol Anal, Sao Paulo, SP - Brazil
[2] Univ Chile, Fac Ciencias Quim & Farmaceut, Adv Ctr Chron Dis ACCDiS, Santiago - Chile
[3] UCL, Div Infect & Immun, London - England
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: FRONTIERS IN GENETICS; v. 10, OCT 24 2019.
Citações Web of Science: 0
Resumo

Transcriptome analyses have increased our understanding of the molecular mechanisms underlying human diseases. Most approaches aim to identify significant genes by comparing their expression values between healthy subjects and a group of patients with a certain disease. Given that studies normally contain few samples, the heterogeneity among individuals caused by environmental factors or undetected illnesses can impact gene expression analyses. We present a systematic analysis of sample heterogeneity in a variety of gene expression studies relating to inflammatory and infectious diseases and show that novel immunological insights may arise once heterogeneity is addressed. The perturbation score of samples is quantified using nonperturbed subjects (i.e., healthy subjects) as a reference group. Such a score allows us to detect outlying samples and subgroups of diseased patients and even assess the molecular perturbation of single cells infected with viruses. We also show how removal of outlying samples can improve the ``signal{''} of the disease and impact detection of differentially expressed genes. The method is made available via the mdp Bioconductor R package and as a user-friendly webtool, webMDP, available at http://mdp.sysbio.tools. (AU)

Processo FAPESP: 13/08216-2 - CPDI - Centro de Pesquisa em Doenças Inflamatórias
Beneficiário:Fernando de Queiroz Cunha
Linha de fomento: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs
Processo FAPESP: 12/19278-6 - Biologia de sistemas de longos RNAs não-codificadores
Beneficiário:Helder Takashi Imoto Nakaya
Linha de fomento: Auxílio à Pesquisa - Apoio a Jovens Pesquisadores
Processo FAPESP: 18/14933-2 - Biologia integrativa aplicada à saúde humana
Beneficiário:Helder Takashi Imoto Nakaya
Linha de fomento: Auxílio à Pesquisa - Apoio a Jovens Pesquisadores - Fase 2