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INSPIIRED: Quantification and Visualization Tools for Analyzing Integration Site Distributions

Overview of attention for article published in Molecular Therapy - Methods & Clinical Development, December 2016
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  • Average Attention Score compared to outputs of the same age and source

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1 X user
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1 patent

Citations

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63 Dimensions

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Title
INSPIIRED: Quantification and Visualization Tools for Analyzing Integration Site Distributions
Published in
Molecular Therapy - Methods & Clinical Development, December 2016
DOI 10.1016/j.omtm.2016.11.003
Pubmed ID
Authors

Charles C. Berry, Christopher Nobles, Emmanuelle Six, Yinghua Wu, Nirav Malani, Eric Sherman, Anatoly Dryga, John K. Everett, Frances Male, Aubrey Bailey, Kyle Bittinger, Mary J. Drake, Laure Caccavelli, Paul Bates, Salima Hacein-Bey-Abina, Marina Cavazzana, Frederic D. Bushman

Abstract

Analysis of sites of newly integrated DNA in cellular genomes is important to several fields, but methods for analyzing and visualizing these datasets are still under development. Here, we describe tools for data analysis and visualization that take as input integration site data from our INSPIIRED pipeline. Paired-end sequencing allows inference of the numbers of transduced cells as well as the distributions of integration sites in target genomes. We present interactive heatmaps that allow comparison of distributions of integration sites to genomic features and that support numerous user-defined statistical tests. To summarize integration site data from human gene therapy samples, we developed a reproducible report format that catalogs sample population structure, longitudinal dynamics, and integration frequency near cancer-associated genes. We also introduce a novel summary statistic, the UC50 (unique cell progenitors contributing the most expanded 50% of progeny cell clones), which provides a single number summarizing possible clonal expansion. Using these tools, we characterize ongoing longitudinal characterization of a patient from the first trial to treat severe combined immunodeficiency-X1 (SCID-X1), showing successful reconstitution for 15 years accompanied by persistence of a cell clone with an integration site near the cancer-associated gene CCND2. Software is available at https://github.com/BushmanLab/INSPIIRED.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 89 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 29%
Student > Ph. D. Student 14 16%
Student > Master 8 9%
Student > Bachelor 8 9%
Student > Doctoral Student 6 7%
Other 12 13%
Unknown 16 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 29%
Agricultural and Biological Sciences 16 18%
Medicine and Dentistry 10 11%
Immunology and Microbiology 6 7%
Engineering 4 4%
Other 10 11%
Unknown 18 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 December 2023.
All research outputs
#8,039,503
of 25,584,565 outputs
Outputs from Molecular Therapy - Methods & Clinical Development
#581
of 1,200 outputs
Outputs of similar age
#134,549
of 423,806 outputs
Outputs of similar age from Molecular Therapy - Methods & Clinical Development
#18
of 33 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,200 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 423,806 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.