Evidence map›Paper›PMID 17130867›Full record

ArticleMolecular systems biology2006

Communication between levels of transcriptional control improves robustness and adaptivity.

Alexander M Tsankov, Christopher R Brown, Michael C Yu, Moe Z Win, Pamela A Silver, Jason M Casolari

Open access · bronzeAbstract read
In one paragraph

Article in Molecular systems biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

18 citing papers in PubMed, 32 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

6 authors at 4 institutions in 1 country.

Alexander M TsankovDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Christopher R Brown
Michael C Yu
Moe Z Win
Pamela A Silver
Jason M Casolari
Harvard University · USCenter for Systems Biology · USDecision Systems (United States) · USMassachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulation of eukaryotic gene expression depends on groups of related proteins acting at the levels of chromatin organization, transcriptional initiation, RNA processing, and nuclear transport. However, a unified understanding of how these different levels of transcriptional control interact has been lacking. Here, we combine genome-wide protein-DNA binding data from multiple sources to infer the connections between functional groups of regulators in Saccharomyces cerevisiae. Our resulting transcriptional network uncovers novel biological relationships; supporting experiments confirm new associations between actively transcribed genes and Sir2 and Esc1, two proteins normally linked to silencing chromatin. Analysis of the regulatory network also reveals an elegant architecture for transcriptional control. Using communication theory, we show that most protein regulators prefer to form modules within their functional class, whereas essential proteins maintain the sparse connections between different classes. Moreover, we provide evidence that communication between different regulatory groups improves the robustness and adaptivity of the cell.

Indexed as

Gene Expression Regulation, FungalGene Regulatory NetworksTranscription, GeneticHistone DeacetylasesNuclear ProteinsProtein BindingReproducibility of ResultsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSilent Information Regulator Proteins, Saccharomyces cerevisiaeSirtuin 2SirtuinsEsc1 protein, S cerevisiaeHistone DeacetylasesNuclear ProteinsSaccharomyces cerevisiae ProteinsSilent Information Regulator Proteins, Saccharomyces cerevisiaeSIR2 protein, S cerevisiaeSirtuin 2Sirtuins

Identifiers

PMID17130867
PMCPMC1682026
OpenAlexW2105714668

What OpenQuestion holds

Textmetadata
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.