Evidence map›Paper›PMID 27330136›Full record

ArticleNucleic acids research2016

Comprehensive analysis of high-throughput screens with HiTSeekR.

Markus List, Steffen Schmidt, Helle Christiansen, Marc Rehmsmeier, Qihua Tan, Jan Mollenhauer, Jan Baumbach

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. A reactive oxygen species CaThe New phytologist · 2022
    Article
  6. Image-Based Screening for Stress Granule Regulators.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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.

Markus ListLundbeckfonden Center of Excellence in Nanomedicine (NanoCAN), University of Southern Denmark, 5000 Odense, Denmark Molecular Oncology, Institute of Molecular Medicin (IMM), University of Southern Denmark, 5000 Odense, Denmark Clinical Institute (CI), University of Southern Denmark, 5000 Odense, Denmark markus.list@mpi-inf.mpg.de.ORCID 0000-0002-0941-4168
Steffen SchmidtLundbeckfonden Center of Excellence in Nanomedicine (NanoCAN), University of Southern Denmark, 5000 Odense, Denmark Molecular Oncology, Institute of Molecular Medicin (IMM), University of Southern Denmark, 5000 Odense, Denmark.
Helle ChristiansenLundbeckfonden Center of Excellence in Nanomedicine (NanoCAN), University of Southern Denmark, 5000 Odense, Denmark Molecular Oncology, Institute of Molecular Medicin (IMM), University of Southern Denmark, 5000 Odense, Denmark.
Marc RehmsmeierComputational Biology Unit, Department of Informatics, University of Bergen, 5020 Bergen, Norway.
Qihua TanClinical Institute (CI), University of Southern Denmark, 5000 Odense, Denmark Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, 5000 Odense, Denmark.
Jan MollenhauerLundbeckfonden Center of Excellence in Nanomedicine (NanoCAN), University of Southern Denmark, 5000 Odense, Denmark Molecular Oncology, Institute of Molecular Medicin (IMM), University of Southern Denmark, 5000 Odense, Denmark.
Jan BaumbachDepartment of Mathematics and Computer Science (IMADA), University of Southern Denmark, 5230 Odense, Denmark Max Planck Institute for Informatics, 66123 Saarbrücken, Germany jbaumbac@mpi-inf.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput screening (HTS) is an indispensable tool for drug (target) discovery that currently lacks user-friendly software tools for the robust identification of putative hits from HTS experiments and for the interpretation of these findings in the context of systems biology. We developed HiTSeekR as a one-stop solution for chemical compound screens, siRNA knock-down and CRISPR/Cas9 knock-out screens, as well as microRNA inhibitor and -mimics screens. We chose three use cases that demonstrate the potential of HiTSeekR to fully exploit HTS screening data in quite heterogeneous contexts to generate novel hypotheses for follow-up experiments: (i) a genome-wide RNAi screen to uncover modulators of TNFα, (ii) a combined siRNA and miRNA mimics screen on vorinostat resistance and (iii) a small compound screen on KRAS synthetic lethality. HiTSeekR is publicly available at http://hitseekr.compbio.sdu.dk It is the first approach to close the gap between raw data processing, network enrichment and wet lab target generation for various HTS screen types.

Indexed as

Drug Evaluation, PreclinicalCaspasesDrug Delivery SystemsHigh-Throughput Screening AssaysHumansMicroRNAsQuality ControlRNA InterferenceRoboticsSignal TransductionTumor Necrosis Factor-alphaCaspasesMicroRNAsTumor Necrosis Factor-alpha

Identifiers

PMID27330136
PMCPMC5001608

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.