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Insights into the design and interpretation of iCLIP experiments

Overview of attention for article published in Genome Biology, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

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7 X users
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2 Wikipedia pages

Citations

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75 Dimensions

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184 Mendeley
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Title
Insights into the design and interpretation of iCLIP experiments
Published in
Genome Biology, January 2017
DOI 10.1186/s13059-016-1130-x
Pubmed ID
Authors

Nejc Haberman, Ina Huppertz, Jan Attig, Julian König, Zhen Wang, Christian Hauer, Matthias W. Hentze, Andreas E. Kulozik, Hervé Le Hir, Tomaž Curk, Christopher R. Sibley, Kathi Zarnack, Jernej Ule

Abstract

Ultraviolet (UV) crosslinking and immunoprecipitation (CLIP) identifies the sites on RNAs that are in direct contact with RNA-binding proteins (RBPs). Several variants of CLIP exist, which require different computational approaches for analysis. This variety of approaches can create challenges for a novice user and can hamper insights from multi-study comparisons. Here, we produce data with multiple variants of CLIP and evaluate the data with various computational methods to better understand their suitability. We perform experiments for PTBP1 and eIF4A3 using individual-nucleotide resolution CLIP (iCLIP), employing either UV-C or photoactivatable 4-thiouridine (4SU) combined with UV-A crosslinking and compare the results with published data. As previously noted, the positions of complementary DNA (cDNA)-starts depend on cDNA length in several iCLIP experiments and we now find that this is caused by constrained cDNA-ends, which can result from the sequence and structure constraints of RNA fragmentation. These constraints are overcome when fragmentation by RNase I is efficient and when a broad cDNA size range is obtained. Our study also shows that if RNase does not efficiently cut within the binding sites, the original CLIP method is less capable of identifying the longer binding sites of RBPs. In contrast, we show that a broad size range of cDNAs in iCLIP allows the cDNA-starts to efficiently delineate the complete RNA-binding sites. We demonstrate the advantage of iCLIP and related methods that can amplify cDNAs that truncate at crosslink sites and we show that computational analyses based on cDNAs-starts are appropriate for such methods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Germany 1 <1%
Unknown 181 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 26%
Researcher 43 23%
Student > Master 23 13%
Student > Bachelor 14 8%
Professor 5 3%
Other 18 10%
Unknown 34 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 34%
Agricultural and Biological Sciences 51 28%
Computer Science 9 5%
Neuroscience 6 3%
Medicine and Dentistry 5 3%
Other 13 7%
Unknown 37 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 January 2023.
All research outputs
#5,338,984
of 25,373,627 outputs
Outputs from Genome Biology
#2,887
of 4,467 outputs
Outputs of similar age
#99,521
of 422,198 outputs
Outputs of similar age from Genome Biology
#41
of 61 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 35th percentile – i.e., 35% 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 422,198 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.