Evidence map›Paper›PMID 22291893›Full record

ArticlePloS one2012

A powerful method for transcriptional profiling of specific cell types in eukaryotes: laser-assisted microdissection and RNA sequencing.

Marc W Schmid, Anja Schmidt, Ulrich C Klostermeier, Matthias Barann, Philip Rosenstiel, Ueli Grossniklaus

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. Laser capture microdissection.Nature reviews. Methods primers · 2025
    Article
  4. Article
  5. Big Data in Gastroenterology Research.International journal of molecular sciences · 2023
    Review
  6. Article
  7. Article
  8. ARP2/3-independent WAVE/SCAR pathway and class XI myosin control sperm nuclear migration in flowering plants.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  9. Article
  10. Review
  11. Article
  12. Retro-ElementFrontiers in genetics · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Epigenetic Regulation of Plant Gametophyte Development.International journal of molecular sciences · 2019
    Review
  17. Review
  18. Article
  19. TheFrontiers in plant science · 2019
    Review
  20. ArabidopsisPlant physiology · 2018
    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

6 authors.

Marc W SchmidInstitute of Plant Biology and Zürich-Basel Plant Science Center, University of Zürich, Zürich, Switzerland.
Anja Schmidt
Ulrich C Klostermeier
Matthias Barann
Philip Rosenstiel
Ueli Grossniklaus

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The acquisition of distinct cell fates is central to the development of multicellular organisms and is largely mediated by gene expression patterns specific to individual cells and tissues. A spatially and temporally resolved analysis of gene expression facilitates the elucidation of transcriptional networks linked to cellular identity and function. We present an approach that allows cell type-specific transcriptional profiling of distinct target cells, which are rare and difficult to access, with unprecedented sensitivity and resolution. We combined laser-assisted microdissection (LAM), linear amplification starting from <1 ng of total RNA, and RNA-sequencing (RNA-Seq). As a model we used the central cell of the Arabidopsis thaliana female gametophyte, one of the female gametes harbored in the reproductive organs of the flower. We estimated the number of expressed genes to be more than twice the number reported previously in a study using LAM and ATH1 microarrays, and identified several classes of genes that were systematically underrepresented in the transcriptome measured with the ATH1 microarray. Among them are many genes that are likely to be important for developmental processes and specific cellular functions. In addition, we identified several intergenic regions, which are likely to be transcribed, and describe a considerable fraction of reads mapping to introns and regions flanking annotated loci, which may represent alternative transcript isoforms. Finally, we performed a de novo assembly of the transcriptome and show that the method is suitable for studying individual cell types of organisms lacking reference sequence information, demonstrating that this approach can be applied to most eukaryotic organisms.

Indexed as

Laser Capture MicrodissectionAnimalsArabidopsisCluster AnalysisEukaryotaGene Expression ProfilingHumansMicroarray AnalysisOvuleSequence Analysis, RNASpecies SpecificityTranscription, GeneticTranscriptome

Identifiers

PMID22291893
PMCPMC3266888

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Registered trials

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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.