Literature DB >> 16845580

Utilization of lymphoblastoid cell lines as a system for the molecular modeling of autism.

Colin A Baron1, Stephenie Y Liu, Chindo Hicks, Jeffrey P Gregg.   

Abstract

In order to provide an alternative approach for understanding the biology and genetics of autism, we performed statistical analysis of gene expression profiles of lymphoblastoid cell lines derived from children with autism and their families. The goal was to assess the feasibility of using this model in identifying autism-associated genes. Replicate microarray experiments demonstrated that expression data from the cell lines were consistent and highly reproducible. Further analyses identified differentially expressed genes between cell lines derived from children with autism and those derived from their normally developing siblings. These genes were then used to identify biochemical pathways potentially involved in autism. This study suggests that lymphoblastoid cell lines may be a viable tool for identifying genes associated with autism.

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Year:  2006        PMID: 16845580     DOI: 10.1007/s10803-006-0134-x

Source DB:  PubMed          Journal:  J Autism Dev Disord        ISSN: 0162-3257


  34 in total

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Journal:  Am J Hum Genet       Date:  2001-08       Impact factor: 11.025

2.  Centralization: a new method for the normalization of gene expression data.

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Journal:  Bioinformatics       Date:  2001       Impact factor: 6.937

3.  Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments.

Authors:  M K Kerr; G A Churchill
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-24       Impact factor: 11.205

4.  Blood genomic expression profile for neuronal injury.

Authors:  Yang Tang; Alex C Nee; Aigang Lu; Ruiqiong Ran; Frank R Sharp
Journal:  J Cereb Blood Flow Metab       Date:  2003-03       Impact factor: 6.200

5.  GEPAS: A web-based resource for microarray gene expression data analysis.

Authors:  Javier Herrero; Fátima Al-Shahrour; Ramón Díaz-Uriarte; Alvaro Mateos; Juan M Vaquerizas; Javier Santoyo; Joaquín Dopazo
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

6.  Estimating dataset size requirements for classifying DNA microarray data.

Authors:  Sayan Mukherjee; Pablo Tamayo; Simon Rogers; Ryan Rifkin; Anna Engle; Colin Campbell; Todd R Golub; Jill P Mesirov
Journal:  J Comput Biol       Date:  2003       Impact factor: 1.479

7.  Latent-class analysis of recurrence risks for complex phenotypes with selection and measurement error: a twin and family history study of autism.

Authors:  A Pickles; P Bolton; H Macdonald; A Bailey; A Le Couteur; C H Sim; M Rutter
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8.  The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism.

Authors:  C Lord; S Risi; L Lambrecht; E H Cook; B L Leventhal; P C DiLavore; A Pickles; M Rutter
Journal:  J Autism Dev Disord       Date:  2000-06

9.  Genetics of gene expression surveyed in maize, mouse and man.

Authors:  Eric E Schadt; Stephanie A Monks; Thomas A Drake; Aldons J Lusis; Nam Che; Veronica Colinayo; Thomas G Ruff; Stephen B Milligan; John R Lamb; Guy Cavet; Peter S Linsley; Mao Mao; Roland B Stoughton; Stephen H Friend
Journal:  Nature       Date:  2003-03-20       Impact factor: 49.962

10.  Whole blood serotonin in autistic and normal subjects.

Authors:  G M Anderson; D X Freedman; D J Cohen; F R Volkmar; E L Hoder; P McPhedran; R B Minderaa; C R Hansen; J G Young
Journal:  J Child Psychol Psychiatry       Date:  1987-11       Impact factor: 8.982

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  32 in total

1.  Transcriptome profile in Williams-Beuren syndrome lymphoblast cells reveals gene pathways implicated in glucose intolerance and visuospatial construction deficits.

Authors:  Anna Antonell; Mireia Vilardell; Luis A Pérez Jurado
Journal:  Hum Genet       Date:  2010-04-17       Impact factor: 4.132

Review 2.  Ethical implications of array comparative genomic hybridization in complex phenotypes: points to consider in research.

Authors:  Holly K Tabor; Mildred K Cho
Journal:  Genet Med       Date:  2007-09       Impact factor: 8.822

3.  Gene expression profiling differentiates autism case-controls and phenotypic variants of autism spectrum disorders: evidence for circadian rhythm dysfunction in severe autism.

Authors:  Valerie W Hu; Tewarit Sarachana; Kyung Soon Kim; AnhThu Nguyen; Shreya Kulkarni; Mara E Steinberg; Truong Luu; Yinglei Lai; Norman H Lee
Journal:  Autism Res       Date:  2009-04       Impact factor: 5.216

Review 4.  The power and promise of identifying autism early: insights from the search for clinical and biological markers.

Authors:  Karen Pierce; Stephen J Glatt; Gregory S Liptak; Laura Lee McIntyre
Journal:  Ann Clin Psychiatry       Date:  2009 Jul-Sep       Impact factor: 1.567

5.  Peripheral blood gene expression signature differentiates children with autism from unaffected siblings.

Authors:  S W Kong; Y Shimizu-Motohashi; M G Campbell; I H Lee; C D Collins; S J Brewster; I A Holm; L Rappaport; I S Kohane; L M Kunkel
Journal:  Neurogenetics       Date:  2013-04-28       Impact factor: 2.660

6.  The Influence of Microdeletions and Microduplications of 16p11.2 on Global Transcription Profiles.

Authors:  Mary Kusenda; Vladimir Vacic; Dheeraj Malhotra; Linda Rodgers; Kevin Pavon; Jennifer Meth; Ravinesh A Kumar; Susan L Christian; Hilde Peeters; Shawn S Cho; Anjene Addington; Judith L Rapoport; Jonathan Sebat
Journal:  J Child Neurol       Date:  2015-09-20       Impact factor: 1.987

7.  Abnormal cell properties and down-regulated FAK-Src complex signaling in B lymphoblasts of autistic subjects.

Authors:  Hongen Wei; Mazhar Malik; Ashfaq M Sheikh; George Merz; W Ted Brown; Xiaohong Li
Journal:  Am J Pathol       Date:  2011-05-07       Impact factor: 4.307

8.  Pleiotropic effects and compensation mechanisms determine tissue specificity in mitochondrial myopathy and sideroblastic anemia (MLASA).

Authors:  Yelena Bykhovskaya; Emebet Mengesha; Nathan Fischel-Ghodsian
Journal:  Mol Genet Metab       Date:  2007-03-19       Impact factor: 4.797

9.  Investigation of post-transcriptional gene regulatory networks associated with autism spectrum disorders by microRNA expression profiling of lymphoblastoid cell lines.

Authors:  Tewarit Sarachana; Rulun Zhou; Guang Chen; Husseini K Manji; Valerie W Hu
Journal:  Genome Med       Date:  2010-04-07       Impact factor: 11.117

10.  Blood-based gene expression signatures of infants and toddlers with autism.

Authors:  Karen Pierce; Eric Courchesne; Stephen J Glatt; Ming T Tsuang; Mary Winn; Sharon D Chandler; Melanie Collins; Linda Lopez; Melanie Weinfeld; Cindy Carter; Nicholas Schork
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2012-08-02       Impact factor: 8.829

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