Evidence map›Paper›PMID 27271281›Full record

ReviewPlant reproduction2016

Bioinformatics resources for pollen.

Luca Ambrosino, Hamed Bostan, Valentino Ruggieri, Maria Luisa Chiusano

Abstract readReview
PubMed Publisher
In one paragraph

Review in Plant reproduction, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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 at 1 institution in 2 countries.

Luca AmbrosinoDepartment of Agricultural Sciences, University of Naples "Federico II", via Università 100, Portici (NA), 80055, Italy.
Hamed BostanDepartment of Agricultural Sciences, University of Naples "Federico II", via Università 100, Portici (NA), 80055, Italy.
Valentino RuggieriDepartment of Agricultural Sciences, University of Naples "Federico II", via Università 100, Portici (NA), 80055, Italy.
Maria Luisa ChiusanoDepartment of Agricultural Sciences, University of Naples "Federico II", via Università 100, Portici (NA), 80055, Italy. chiusano@unina.it.ORCID 0000-0002-6296-7132
Federico II University Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageBioinformatics for Pollen. Pollen plays a key role in crop production, and its development is the most delicate phase in reproduction. Different metabolic pathways are involved in pollen development, and changes in the level of some metabolites, as well as responses to stress, are correlated with the reduction in pollen viability, leading consequently to a decrease in the fruit production. However, studies on pollen may be hard because gamete development and fertilization are complex processes that occur during a short window of time. The rise of the so-called -omics sciences provided key strategies to promote molecular research in pollen tissues, starting from model organisms and moving to increasing number of species. An integrated multi-level approach based on investigations from genomics, transcriptomics, proteomics and metabolomics appears now feasible to clarify key molecular processes in pollen development and viability. To this aim, bioinformatics has a fundamental role for data production and analysis, contributing varied and ad hoc methodologies, endowed with different sensitivity and specificity, necessary for extracting added-value information from the large amount of molecular data achievable. Bioinformatics is also essential for data management, organization, distribution and integration in suitable resources. This is necessary to catch the biological features of the pollen tissues and to design effective approaches to identifying structural or functional properties, enabling the modeling of the major involved processes in normal or in stress conditions. In this review, we provide an overview of the available bioinformatics resources for pollen, ranging from raw data collections to complete databases or platforms, when available, which include data and/or results from -omics efforts on the male gametophyte. Perspectives in the fields will also be described.

Indexed as

Databases, GeneticGenomicsPollenMagnoliopsidaTranscriptomeBioinformatics platformsData integrationData sourcesOmics

Identifiers

PMID27271281
OpenAlexW2413665367

What OpenQuestion holds

Textmetadata
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.