↓ Skip to main content

Functional Characterization of NIPBL Physiological Splice Variants and Eight Splicing Mutations in Patients with Cornelia de Lange Syndrome

Overview of attention for article published in International Journal of Molecular Sciences, June 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
43 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Functional Characterization of NIPBL Physiological Splice Variants and Eight Splicing Mutations in Patients with Cornelia de Lange Syndrome
Published in
International Journal of Molecular Sciences, June 2014
DOI 10.3390/ijms150610350
Pubmed ID
Authors

María E. Teresa-Rodrigo, Juliane Eckhold, Beatriz Puisac, Andreas Dalski, María C. Gil-Rodríguez, Diana Braunholz, Carolina Baquero, María Hernández-Marcos, Juan C. de Karam, Milagros Ciero, Fernando Santos-Simarro, Pablo Lapunzina, Jolanta Wierzba, César H. Casale, Feliciano J. Ramos, Gabriele Gillessen-Kaesbach, Frank J. Kaiser, Juan Pié

Abstract

Cornelia de Lange syndrome (CdLS) is a congenital developmental disorder characterized by distinctive craniofacial features, growth retardation, cognitive impairment, limb defects, hirsutism, and multisystem involvement. Mutations in five genes encoding structural components (SMC1A, SMC3, RAD21) or functionally associated factors (NIPBL, HDAC8) of the cohesin complex have been found in patients with CdLS. In about 60% of the patients, mutations in NIPBL could be identified. Interestingly, 17% of them are predicted to change normal splicing, however, detailed molecular investigations are often missing. Here, we report the first systematic study of the physiological splicing of the NIPBL gene, that would reveal the identification of four new splicing isoforms ΔE10, ΔE12, ΔE33,34, and B'. Furthermore, we have investigated nine mutations affecting splice-sites in the NIPBL gene identified in twelve CdLS patients. All mutations have been examined on the DNA and RNA level, as well as by in silico analyses. Although patients with mutations affecting NIPBL splicing show a broad clinical variability, the more severe phenotypes seem to be associated with aberrant transcripts resulting in a shift of the reading frame.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 30%
Student > Master 9 21%
Student > Bachelor 6 14%
Professor > Associate Professor 5 12%
Student > Doctoral Student 2 5%
Other 4 9%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 35%
Biochemistry, Genetics and Molecular Biology 8 19%
Medicine and Dentistry 7 16%
Nursing and Health Professions 3 7%
Psychology 2 5%
Other 2 5%
Unknown 6 14%
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 10 June 2014.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from International Journal of Molecular Sciences
#31,896
of 44,328 outputs
Outputs of similar age
#178,903
of 244,219 outputs
Outputs of similar age from International Journal of Molecular Sciences
#123
of 178 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 44,328 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,219 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.