↓ Skip to main content

Cross-site comparison of ribosomal depletion kits for Illumina RNAseq library construction

Overview of attention for article published in BMC Genomics, March 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
twitter
22 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
165 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
Cross-site comparison of ribosomal depletion kits for Illumina RNAseq library construction
Published in
BMC Genomics, March 2018
DOI 10.1186/s12864-018-4585-1
Pubmed ID
Authors

Zachary T. Herbert, Jamie P. Kershner, Vincent L. Butty, Jyothi Thimmapuram, Sulbha Choudhari, Yuriy O. Alekseyev, Jun Fan, Jessica W. Podnar, Edward Wilcox, Jenny Gipson, Allison Gillaspy, Kristen Jepsen, Sandra Splinter BonDurant, Krystalynne Morris, Maura Berkeley, Ashley LeClerc, Stephen D. Simpson, Gary Sommerville, Leslie Grimmett, Marie Adams, Stuart S. Levine

Abstract

Ribosomal RNA (rRNA) comprises at least 90% of total RNA extracted from mammalian tissue or cell line samples. Informative transcriptional profiling using massively parallel sequencing technologies requires either enrichment of mature poly-adenylated transcripts or targeted depletion of the rRNA fraction. The latter method is of particular interest because it is compatible with degraded samples such as those extracted from FFPE and also captures transcripts that are not poly-adenylated such as some non-coding RNAs. Here we provide a cross-site study that evaluates the performance of ribosomal RNA removal kits from Illumina, Takara/Clontech, Kapa Biosystems, Lexogen, New England Biolabs and Qiagen on intact and degraded RNA samples. We find that all of the kits are capable of performing significant ribosomal depletion, though there are differences in their ease of use. All kits were able to remove ribosomal RNA to below 20% with intact RNA and identify ~ 14,000 protein coding genes from the Universal Human Reference RNA sample at >1FPKM. Analysis of differentially detected genes between kits suggests that transcript length may be a key factor in library production efficiency. These results provide a roadmap for labs on the strengths of each of these methods and how best to utilize them.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 165 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 21%
Researcher 33 20%
Student > Master 22 13%
Student > Bachelor 11 7%
Other 11 7%
Other 17 10%
Unknown 37 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 51 31%
Agricultural and Biological Sciences 38 23%
Medicine and Dentistry 12 7%
Neuroscience 5 3%
Immunology and Microbiology 4 2%
Other 16 10%
Unknown 39 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 28 July 2020.
All research outputs
#1,506,677
of 23,305,591 outputs
Outputs from BMC Genomics
#329
of 10,742 outputs
Outputs of similar age
#35,432
of 334,494 outputs
Outputs of similar age from BMC Genomics
#6
of 184 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 334,494 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 89% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.