Evidence map›Paper›PMID 32274610›Full record

ArticleCytotechnology2020

Mouse single oocyte imaging by MALDI-TOF MS for lipidomics.

Anna Bodzon-Kulakowska, Roberta Arena, Przemyslaw Mielczarek, Kinga Hartman, Paulina Kozoł, Ewa Gibuła-Tarlowska, Tomasz P Wrobel, Łukasz Gąsior, Zbigniew Polański, Grazyna E Ptak and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Cytotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Acta pharmaceutica Sinica. B · 2023
    Article
  5. Recent advances in mass spectrometry imaging of single cells.Analytical and bioanalytical chemistry · 2023
    Review
  6. Article
  7. Article
  8. Review
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

11 authors at 6 institutions in 2 countries.

Anna Bodzon-KulakowskaDepartment of Biochemistry and Neurobiology, Faculty of Materials Science and Ceramics, AGH University of Science and Technology, Cracow, Poland.
Roberta ArenaInstitute of Genetics and Animal Breeding, Polish Academy of Sciences, Jastrzebiec, Poland.
Przemyslaw MielczarekDepartment of Biochemistry and Neurobiology, Faculty of Materials Science and Ceramics, AGH University of Science and Technology, Cracow, Poland.
Kinga HartmanDepartment of Biochemistry and Neurobiology, Faculty of Materials Science and Ceramics, AGH University of Science and Technology, Cracow, Poland.
Paulina KozołInstitute of Nuclear Physics Polish Academy of Sciences, 31342, Krakow, Poland.
Ewa Gibuła-TarlowskaDepartment of Pharmacology and Pharmacodynamics, Medical University, Lublin, Poland.
Tomasz P WrobelInstitute of Nuclear Physics Polish Academy of Sciences, 31342, Krakow, Poland.
Łukasz GąsiorMalopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland.
Zbigniew PolańskiDepartment of Genetics and Evolution, Institute of Zoology and Biomedical Research, Jagiellonian University, Krakow, Poland.
Grazyna E PtakMalopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland.
Piotr SuderDepartment of Biochemistry and Neurobiology, Faculty of Materials Science and Ceramics, AGH University of Science and Technology, Cracow, Poland. piotr.suder@agh.edu.pl.
AGH University of Krakow · PLInstitute of Nuclear Physics, Polish Academy of Sciences · PLJagiellonian University · PLPolish Academy of Sciences · PLMedical University of Lublin · PLUniversity of Teramo · IT

Funding

Horizon 2020 692185Krajowy Naukowy Osrodek Wiodacy KNOW/IGHZ/RMK/PhD/2016/07Narodowe Centrum Nauki 2016/21/B/NZ3/03631Narodowe Centrum Nauki 2018/29/B/NZ4/02243
6 · The paper itself

Abstract

Reproductive cells are a very special kind of material for the analysis. Depending on the species, their dimensions allow for the application of mass spectrometry imaging-based techniques to receive a reasonable data for interpretation of their condition without any additional sample preparation steps, except for typical sample preparation characteristic for IMS protocols. A comparison between lipid profiles of oocytes could answer the question of the overall quality of the cells in the function of time or conditions of storage. Even tiny differences in the lipid profiles, but still detectable by bioinformatic analysis, could be crucial for the estimation of the conditions of the cells in various stages of development or aging. In our study, MALDI-TOF/TOF MSI was used to analyze and visualize the single oocytes. We deposited the cells on the transparent indium-tin-oxide (ITO) glass and marked their positions, which allowed for the fast localization of the cells and precise laser targeting in the ion source. We also optimized the usage of different MALDI matrices and different approaches. The proposed way of measurement allows analyzing quite a significant quantity of oocytes in a reasonably short time. During the analysis, the lipid composition of the single cell was successfully estimated in a conventional usage of the MALDI ion source, and the localization of lipids was confirmed by imaging mass spectrometry (IMS) analysis. The observed quantity of the lipids allowed for the application of the LIFT™ technique to obtain MS/MS spectra sufficient for lipids' unambiguous identification. We hope that our idea of the oocyte analysis will help to elucidate chemical changes that accompany different processes in which oocytes are involved. There could be such fascinating phenomena as the oocyte maturation, changes in the lipid components during their storage, and much more.

Indexed as

MALDI-imagingMink oocyteMouse oocyteSample preparation methodsSingle cell analysis

Identifiers

PMID32274610
PMCPMC7225219
OpenAlexW3015750797

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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.