Evidence map›Paper›PMID 35700675›Full record

ReviewCurrent opinion in plant biology2022

Deciphering the molecular basis of tissue-specific gene expression in plants: Can synthetic biology help?

Anna E Yaschenko, Mario Fenech, Serina Mazzoni-Putman, Jose M Alonso, Anna N Stepanova

Abstract readReview
In one paragraph

Review in Current opinion in plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Plant engineering: advances, bottlenecks, and promise.The Plant journal : for cell and molecular biology · 2025
    Article
  16. Review
  17. Promoters, KeyInternational journal of molecular sciences · 2024
    Review
  18. International journal of molecular sciences · 2024
    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

5 authors.

Anna E YaschenkoDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, NC 27695, USA.
Mario FenechDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, NC 27695, USA.
Serina Mazzoni-PutmanDepartment of Horticultural Science, North Carolina State University, Raleigh, NC 27695, USA.
Jose M AlonsoDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, NC 27695, USA.
Anna N StepanovaDepartment of Plant and Microbial Biology, Program in Genetics, North Carolina State University, Raleigh, NC 27695, USA. Electronic address: atstepan@ncsu.edu.

Funding

NC STATE MOLECULAR BIOTECHNOLOGY TRAINING PROGRAM (MBTP)T32GM133366 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Jason M. Haugh, Robert M Kelly · 2020 to 2026
$3.3M
NIGMS NIH HHS T32 GM133366
6 · The paper itself

Abstract

Gene expression differences between distinct cell types are orchestrated by specific sets of transcription factors and epigenetic regulators acting upon the genome. In plants, the mechanisms underlying tissue-specific gene activity remain largely unexplored. Although transcriptional and epigenetic profiling of individual organs, tissues, and more recently, of single cells can easily detect the molecular signatures of different biological samples, how these unique cell identities are established at the mechanistic level is only beginning to be decoded. Computational methods, including machine learning, used in combination with experimental approaches, enable the identification and validation of candidate cis-regulatory elements driving cell-specific expression. Synthetic biology shows great promise not only as a means of testing candidate DNA motifs but also for establishing the general rules of nature driving promoter architecture and for the rational design of genetic circuits in research and agriculture to confer tissue-specific expression to genes or molecular pathways of interest.

Indexed as

Gene Regulatory NetworksSynthetic BiologyComputational BiologyGene ExpressionPlantsPromoter Regions, GeneticTranscription FactorsTranscription FactorsCis-regulatory elementEpigeneticsGene expressionLogic gateMotifPromoterSingle cellSynthetic biologyTissue specificityTranscription factorTranscriptomics

Identifiers

PMID35700675
PMCPMC10605770

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.