Evidence map›Paper›PMID 28101088›Full record

ArticleFrontiers in plant science2016

Laser Capture Microdissection Protocol for Xylem Tissues of Woody Plants.

Olga Blokhina, Concetta Valerio, Katarzyna Sokołowska, Lei Zhao, Anna Kärkönen, Totte Niittylä, Kurt Fagerstedt

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 41 citations in OpenAlex.

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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 4 countries.

Olga BlokhinaViikki Plant Science Centre, Department of Biosciences, University of Helsinki Helsinki, Finland.
Concetta ValerioPlant Stress Signaling, Instituto Gulbenkian de CiênciaOeiras, Portugal; Umeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural SciencesUmeå, Sweden.
Katarzyna SokołowskaUmeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural SciencesUmeå, Sweden; Department of Plant Developmental Biology, Institute of Experimental Biology, University of WrocławWrocław, Poland.
Lei ZhaoViikki Plant Science Centre, Department of Biosciences, University of Helsinki Helsinki, Finland.
Anna KärkönenViikki Plant Science Centre, Department of Agricultural Sciences, University of Helsinki Helsinki, Finland.
Totte NiittyläUmeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences Umeå, Sweden.
Kurt FagerstedtViikki Plant Science Centre, Department of Biosciences, University of Helsinki Helsinki, Finland.
University of Helsinki · FISwedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laser capture microdissection (LCM) enables precise dissection and collection of individual cell types from complex tissues. When applied to plant cells, and especially to woody tissues, LCM requires extensive optimization to overcome such factors as rigid cell walls, large central vacuoles, intercellular spaces, and technical issues with thickness and flatness of the sections. Here we present an optimized protocol for the laser-assisted microdissection of developing xylem from mature trees: a gymnosperm (Norway spruce,

Indexed as

cryosectionlaser capture microdissectionray cellsRNA integritytracheidsxylem fibers

Identifiers

PMID28101088
PMCPMC5209384
OpenAlexW2566682437

What OpenQuestion 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 OpenQuestion graph.