Evidence map›Paper›PMID 30989558›Full record

ReviewMolecular biology reports2019

Is it useful to use several "omics" for obtaining valuable results?

Magdalena Zapalska-Sozoniuk, Lukasz Chrobak, Krzysztof Kowalczyk, Marta Kankofer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

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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

4 authors.

Magdalena Zapalska-SozoniukDepartament of Biochemistry, Faculty of Veterinary Medicine, University of Life Science in Lublin, Akademicka Street 12, 20-033, Lublin, Poland.
Lukasz ChrobakDepartament of Biochemistry, Faculty of Veterinary Medicine, University of Life Science in Lublin, Akademicka Street 12, 20-033, Lublin, Poland.
Krzysztof KowalczykInstitute of Plant Genetics, Breeding and Biotechnology, Faculty of Agrobioengineering, University of Life Sciences in Lublin, Akademicka Street 15, 20-950, Lublin, Poland.
Marta KankoferDepartament of Biochemistry, Faculty of Veterinary Medicine, University of Life Science in Lublin, Akademicka Street 12, 20-033, Lublin, Poland. marta.kankofer@up.lublin.pl.ORCID http://orcid.org/0000-0003-3053-0742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of cell communication and the transfer of signals from stimuli via transcription to translation and further to activation of new protein is crucial for appropriate metabolism and function of living organisms. The overall elucidation and the examination of these complex processes require multistep laboratory approaches in order to obtain results which will not only detect particular stage but also indicate the mechanisms lying upon this process. Such results will be reliable because they will cover multidirectional methods and approaches. The analysis of currently available results already provided with the conclusion that often single omics approach does not correspond with other expected information and may bring misinterpretations. That is why the integration of several "omics" is useful for searching entire explanations and answers as well as appropriate interpretation of obtained complex results. The hypothesis was stated that "from transcriptomics can not be concluded to proteomics". This review focuses on the reasons for the integration of transcriptomic, proteomic and other-omics analysis. Moreover it also describes the examples of clinical meanings and mentions some methods used in these approaches.

Indexed as

Cell CommunicationComputational BiologyGene Expression ProfilingHumansMetabolomicsProteomicsOmicsProteomicsTranscriptomics

Identifiers

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.