Evidence map›Paper›PMID 31881735›Full record

ReviewInternational journal of molecular sciences2019

RNA-seq and ChIP-seq as Complementary Approaches for Comprehension of Plant Transcriptional Regulatory Mechanism.

Isiaka Ibrahim Muhammad, Sze Ling Kong, Siti Nor Akmar Abdullah, Umaiyal Munusamy

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Comparative Transcriptomic Analysis ofPlants (Basel, Switzerland) · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Application of Multi-Perspectives in Tea Breeding and the Main Directions.International journal of molecular sciences · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Isiaka Ibrahim MuhammadLaboratory of Plantation Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia, Selangor 43400, Malaysia.ORCID 0000-0001-8986-9893
Sze Ling KongLaboratory of Plantation Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia, Selangor 43400, Malaysia.
Siti Nor Akmar AbdullahLaboratory of Plantation Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia, Selangor 43400, Malaysia.
Umaiyal MunusamyDepartment of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia, Selangor 43400, Malaysia.ORCID 0000-0002-2428-4568

Funding

Ministry of Higher Education, Malaysia TRGS/1/2016/UPM/01/6/
6 · The paper itself

Abstract

The availability of data produced from various sequencing platforms offer the possibility to answer complex questions in plant research. However, drawbacks can arise when there are gaps in the information generated, and complementary platforms are essential to obtain more comprehensive data sets relating to specific biological process, such as responses to environmental perturbations in plant systems. The investigation of transcriptional regulation raises different challenges, particularly in associating differentially expressed transcription factors with their downstream responsive genes. In this paper, we discuss the integration of transcriptional factor studies through RNA sequencing (RNA-seq) and Chromatin Immunoprecipitation sequencing (ChIP-seq). We show how the data from ChIP-seq can strengthen information generated from RNA-seq in elucidating gene regulatory mechanisms. In particular, we discuss how integration of ChIP-seq and RNA-seq data can help to unravel transcriptional regulatory networks. This review discusses recent advances in methods for studying transcriptional regulation using these two methods. It also provides guidelines for making choices in selecting specific protocols in RNA-seq pipelines for genome-wide analysis to achieve more detailed characterization of specific transcription regulatory pathways via ChIP-seq.

Indexed as

Gene Regulatory NetworksTranscriptomeChromatin ImmunoprecipitationGene LibraryPlantsRNA, PlantSequence Analysis, RNARNA, PlantChIP-sequencingdata integrationRNA-sequencingtranscriptional regulatory mechanismtranscriptome

Identifiers

PMID31881735
PMCPMC6981605

What Socratic 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 Socratic graph.