Evidence map›Paper›PMID 29618487›Full record

ArticleGenome research2018

Integrated analysis sheds light on evolutionary trajectories of young transcription start sites in the human genome.

Cai Li, Boris Lenhard, Nicholas M Luscombe

Open access · hybridAbstract read
In one paragraph

Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Cai LiThe Francis Crick Institute, London NW1 1AT, United Kingdom.
Boris LenhardComputational Regulatory Genomics, MRC London Institute of Medical Sciences, London W12 0NN, United Kingdom.
Nicholas M LuscombeThe Francis Crick Institute, London NW1 1AT, United Kingdom.
NIHR Imperial Biomedical Research Centre · GBOkinawa Institute of Science and Technology Graduate University · JPThe Francis Crick Institute · GB

Funding

Cancer Research UKMedical Research Council MC_UP_1102/1Medical Research Council MR/L016311/1Wellcome TrustWellcome Trust 103760/Z/14/Z
6 · The paper itself

Abstract

Understanding the molecular mechanisms and evolution of the gene regulatory system remains a major challenge in biology. Transcription start sites (TSSs) are especially interesting because they are central to initiating gene expression. Previous studies revealed widespread transcription initiation and fast turnover of TSSs in mammalian genomes. Yet, how new TSSs originate and how they evolve over time remain poorly understood. To address these questions, we analyzed ∼200,000 human TSSs by integrating evolutionary (inter- and intra-species) and functional genomic data, particularly focusing on evolutionarily young TSSs that emerged in the primate lineage. TSSs were grouped according to their evolutionary age using sequence alignment information as a proxy. Comparisons of young and old TSSs revealed that (1) new TSSs emerge through a combination of intrinsic factors, like the sequence properties of transposable elements and tandem repeats, and extrinsic factors such as their proximity to existing regulatory modules; (2) new TSSs undergo rapid evolution that reduces the inherent instability of repeat sequences associated with a high propensity of TSS emergence; and (3) once established, the transcriptional competence of surviving TSSs is gradually enhanced, with evolutionary changes subject to temporal (fewer regulatory changes in younger TSSs) and spatial constraints (fewer regulatory changes in more isolated TSSs). These findings advance our understanding of how regulatory innovations arise in the genome throughout evolution and highlight the genomic robustness and evolvability in these processes.

Indexed as

Evolution, MolecularTranscription Initiation SiteAnimalsCpG IslandsDNADNA MethylationGenome, HumanGenomicsHumansModels, GeneticPhylogenyRepetitive Sequences, Nucleic AcidTATA BoxTime FactorsDNA

Identifiers

PMID29618487
PMCPMC5932608
OpenAlexW2950101853

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.