Evidence map›Paper›PMID 30189139›Full record

ArticleACS synthetic biology2018

Design of Large-Scale Reporter Construct Arrays for Dynamic, Live Cell Systems Biology.

Joseph T Decker, Matthew S Hall, Beatriz Peñalver-Bernabé, Rachel B Blaisdell, Lauren N Liebman, Jacqueline S Jeruss, Lonnie D Shea

Open access · greenAbstract read
In one paragraph

Article in ACS synthetic biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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

7 authors at 2 institutions in 1 country.

Joseph T DeckerDepartment of Biomedical Engineering , University of Michigan , Ann Arbor , Michigan 48109 , United States.
Matthew S HallDepartment of Biomedical Engineering , University of Michigan , Ann Arbor , Michigan 48109 , United States.
Beatriz Peñalver-BernabéMicrobiome Center, Department of the Surgery , University of Chicago , Chicago , Illinois 60637 , United States.
Rachel B BlaisdellDepartment of Biomedical Engineering , University of Michigan , Ann Arbor , Michigan 48109 , United States.
Lauren N LiebmanDepartment of Biomedical Engineering , University of Michigan , Ann Arbor , Michigan 48109 , United States.
Jacqueline S JerussDepartment of Biomedical Engineering , University of Michigan , Ann Arbor , Michigan 48109 , United States.
Lonnie D SheaDepartment of Biomedical Engineering , University of Michigan , Ann Arbor , Michigan 48109 , United States.ORCID 0000-0002-9296-9673
University of Michigan · USUniversity of Chicago · US

Funding

Measuring Signaling Pathway Dynamics During Tissue Growth in HydrogelsR01CA214384 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JERUSS, JACQUELINE SARA, SHEA, LONNIE D · 2017 to 2021
$1.8M
NCI NIH HHS R01 CA214384
6 · The paper itself

Abstract

Dynamic systems biology aims to identify the molecular mechanisms governing cell fate decisions through the analysis of living cells. Large scale molecular information from living cells can be obtained from reporter constructs that provide activities for either individual transcription factors or multiple factors binding to the full promoter following CRISPR/Cas9 directed insertion of luciferase. In this report, we investigated the design criteria to obtain reporters that are specific and responsive to transcription factor (TF) binding and the integration of TF binding activity with genetic reporter activity. The design of TF reporters was investigated for the impact of consensus binding site spacing sequence and off-target binding on the reporter sensitivity using a library of 25 SMAD3 activity reporters with spacers of random composition and length. A spacer was necessary to quantify activity changes after TGFβ stimulation. TF binding site prediction algorithms (BEEML, FIMO and DeepBind) were used to predict off-target binding, and nonresponsiveness to a SMAD3 reporter was correlated with a predicted competitive binding of constitutively active p53. The network of activity of the SMAD3 reporter was inferred from measurements of TF reporter library, and connected with large-scale genetic reporter activity measurements. The integration of TF and genetic reporters identified the major hubs directing responses to TGFβ, and this method provided a systems-level algorithm to investigate cell signaling.

Indexed as

Genes, ReporterA549 CellsAlgorithmsBinding SitesEpithelial-Mesenchymal TransitionGene Regulatory NetworksHumansPromoter Regions, GeneticResearch DesignSmad3 ProteinSystems BiologyTranscription FactorsTransforming Growth Factor betaTumor Suppressor Protein p53Smad3 ProteinTranscription FactorsTransforming Growth Factor betaTumor Suppressor Protein p53activity reportersynthetic promotertranscription factor

Identifiers

PMID30189139
PMCPMC11293491
OpenAlexW2889765999

What OpenQuestion holds

Textmetadata
LicenceTDM
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.