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Time-resolved transcriptome and proteome landscape of human regulatory T cell (Treg) differentiation reveals novel regulators of FOXP3

Overview of attention for article published in BMC Biology, May 2018
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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 (73rd percentile)

Mentioned by

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10 tweeters

Citations

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11 Dimensions

Readers on

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94 Mendeley
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Title
Time-resolved transcriptome and proteome landscape of human regulatory T cell (Treg) differentiation reveals novel regulators of FOXP3
Published in
BMC Biology, May 2018
DOI 10.1186/s12915-018-0518-3
Pubmed ID
Authors

Angelika Schmidt, Francesco Marabita, Narsis A. Kiani, Catharina C. Gross, Henrik J. Johansson, Szabolcs Éliás, Sini Rautio, Matilda Eriksson, Sunjay Jude Fernandes, Gilad Silberberg, Ubaid Ullah, Urvashi Bhatia, Harri Lähdesmäki, Janne Lehtiö, David Gomez-Cabrero, Heinz Wiendl, Riitta Lahesmaa, Jesper Tegnér

Abstract

Regulatory T cells (Tregs) expressing the transcription factor FOXP3 are crucial mediators of self-tolerance, preventing autoimmune diseases but possibly hampering tumor rejection. Clinical manipulation of Tregs is of great interest, and first-in-man trials of Treg transfer have achieved promising outcomes. Yet, the mechanisms governing induced Treg (iTreg) differentiation and the regulation of FOXP3 are incompletely understood. To gain a comprehensive and unbiased molecular understanding of FOXP3 induction, we performed time-series RNA sequencing (RNA-Seq) and proteomics profiling on the same samples during human iTreg differentiation. To enable the broad analysis of universal FOXP3-inducing pathways, we used five differentiation protocols in parallel. Integrative analysis of the transcriptome and proteome confirmed involvement of specific molecular processes, as well as overlap of a novel iTreg subnetwork with known Treg regulators and autoimmunity-associated genes. Importantly, we propose 37 novel molecules putatively involved in iTreg differentiation. Their relevance was validated by a targeted shRNA screen confirming a functional role in FOXP3 induction, discriminant analyses classifying iTregs accordingly, and comparable expression in an independent novel iTreg RNA-Seq dataset. The data generated by this novel approach facilitates understanding of the molecular mechanisms underlying iTreg generation as well as of the concomitant changes in the transcriptome and proteome. Our results provide a reference map exploitable for future discovery of markers and drug candidates governing control of Tregs, which has important implications for the treatment of cancer, autoimmune, and inflammatory diseases.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Researcher 23 24%
Student > Master 12 13%
Student > Bachelor 6 6%
Student > Postgraduate 5 5%
Other 9 10%
Unknown 15 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 26%
Immunology and Microbiology 18 19%
Agricultural and Biological Sciences 14 15%
Medicine and Dentistry 9 10%
Neuroscience 4 4%
Other 10 11%
Unknown 15 16%

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 11 September 2019.
All research outputs
#2,962,316
of 15,821,644 outputs
Outputs from BMC Biology
#738
of 1,354 outputs
Outputs of similar age
#73,604
of 279,621 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 15,821,644 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one is in the 45th percentile – i.e., 45% 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 279,621 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 73% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them