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Design and validation of a pericentromeric BAC clone set aimed at improving diagnosis and phenotype prediction of supernumerary marker chromosomes

Overview of attention for article published in Molecular Cytogenetics, October 2013
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Title
Design and validation of a pericentromeric BAC clone set aimed at improving diagnosis and phenotype prediction of supernumerary marker chromosomes
Published in
Molecular Cytogenetics, October 2013
DOI 10.1186/1755-8166-6-45
Pubmed ID
Authors

Chiara Castronovo, Emanuele Valtorta, Milena Crippa, Sara Tedoldi, Lorenza Romitti, Maria Cristina Amione, Silvana Guerneri, Daniela Rusconi, Lucia Ballarati, Donatella Milani, Enrico Grosso, Pietro Cavalli, Daniela Giardino, Maria Teresa Bonati, Lidia Larizza, Palma Finelli

Abstract

Small supernumerary marker chromosomes (sSMCs) are additional, structurally abnormal chromosomes, generally smaller than chromosome 20 of the same metaphase spread. Due to their small size, they are difficult to characterize by conventional cytogenetics alone. In regard to their clinical effects, sSMCs are a heterogeneous group: in particular, sSMCs containing pericentromeric euchromatin are likely to be associated with abnormal outcomes, although exceptions have been reported. To improve characterization of the genetic content of sSMCs, several approaches might be applied based on different molecular and molecular-cytogenetic assays, e.g., fluorescent in situ hybridization (FISH), array-based comparative genomic hybridization (array CGH), and multiplex ligation-dependent probe amplification (MLPA).To provide a complementary tool for the characterization of sSMCs, we constructed and validated a new, FISH-based, pericentromeric Bacterial Artificial Chromosome (BAC) clone set that with a high resolution spans the most proximal euchromatic sequences of all human chromosome arms, excluding the acrocentric short arms.

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Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Other 2 13%
Student > Postgraduate 2 13%
Student > Ph. D. Student 2 13%
Librarian 1 7%
Other 4 27%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Medicine and Dentistry 4 27%
Agricultural and Biological Sciences 3 20%
Neuroscience 2 13%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 October 2013.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Molecular Cytogenetics
#251
of 423 outputs
Outputs of similar age
#169,827
of 225,516 outputs
Outputs of similar age from Molecular Cytogenetics
#11
of 14 outputs
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