Evidence map›Paper›PMID 25825736›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Sphingomyelin distribution in lipid rafts of artificial monolayer membranes visualized by Raman microscopy.

Jun Ando, Masanao Kinoshita, Jin Cui, Hiroyuki Yamakoshi, Kosuke Dodo, Katsumasa Fujita, Michio Murata, Mikiko Sodeoka

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

56 citing papers in PubMed, 138 citations in OpenAlex.

  1. Article
  2. Local host fish-Food and waterborne parasitology · 2026
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  9. Polar Glycerolipids and Membrane Lipid Rafts.International journal of molecular sciences · 2024
    Review
  10. Review
  11. Assessment of Drug Activities againstPathogens (Basel, Switzerland) · 2024
    Article
  12. Article
  13. Review
  14. Article
  15. Proactive and reactive roles of TGF-β in cancer.Seminars in cancer biology · 2023
    Review
  16. Review
  17. Article
  18. Raman Spectroscopy as a Tool to Study the Pathophysiology of Brain Diseases.International journal of molecular sciences · 2023
    Review
  19. Article
  20. Raman Spectroscopy for Chemical Biology Research.Journal of the American Chemical Society · 2022
    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

8 authors at 4 institutions in 2 countries.

Jun AndoSodeoka Live Cell Chemistry Project, Japan Science and Technology Agency (JST), Exploratory Research for Advanced Technology, Saitama 351-0198, Japan; Core Research for Evolutionary Science and Technology (CREST), JST, Saitama 351-0198, Japan; Department of Applied Physics, Osaka University, Osaka 565-0871, Japan; Synthetic Organic Chemistry Laboratory, RIKEN, Saitama 351-0198, Japan; and.
Masanao KinoshitaLipid Active Structure Project, JST, Exploratory Research for Advanced Technology, Project Research Center for Fundamental Science, and.
Jin CuiLipid Active Structure Project, JST, Exploratory Research for Advanced Technology, Department of Chemistry, Graduate School of Science, Osaka University, Osaka 560-0043, Japan.
Hiroyuki YamakoshiSodeoka Live Cell Chemistry Project, Japan Science and Technology Agency (JST), Exploratory Research for Advanced Technology, Saitama 351-0198, Japan; Synthetic Organic Chemistry Laboratory, RIKEN, Saitama 351-0198, Japan; and.
Kosuke DodoSodeoka Live Cell Chemistry Project, Japan Science and Technology Agency (JST), Exploratory Research for Advanced Technology, Saitama 351-0198, Japan; Core Research for Evolutionary Science and Technology (CREST), JST, Saitama 351-0198, Japan; Synthetic Organic Chemistry Laboratory, RIKEN, Saitama 351-0198, Japan; and.
Katsumasa FujitaSodeoka Live Cell Chemistry Project, Japan Science and Technology Agency (JST), Exploratory Research for Advanced Technology, Saitama 351-0198, Japan; Core Research for Evolutionary Science and Technology (CREST), JST, Saitama 351-0198, Japan; Department of Applied Physics, Osaka University, Osaka 565-0871, Japan;
Michio MurataLipid Active Structure Project, JST, Exploratory Research for Advanced Technology, Department of Chemistry, Graduate School of Science, Osaka University, Osaka 560-0043, Japan murata@chem.sci.osaka-u.ac.jp sodeoka@riken.jp.
Mikiko SodeokaSodeoka Live Cell Chemistry Project, Japan Science and Technology Agency (JST), Exploratory Research for Advanced Technology, Saitama 351-0198, Japan; Core Research for Evolutionary Science and Technology (CREST), JST, Saitama 351-0198, Japan; Synthetic Organic Chemistry Laboratory, RIKEN, Saitama 351-0198, Japan; and murata@chem.sci.osaka-u.ac.jp sodeoka@riken.jp.
Advanced Engineering (Czechia) · CZRIKEN · JPJapan Science and Technology Agency · JPOsaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sphingomyelin (SM) and cholesterol (chol)-rich domains in cell membranes, called lipid rafts, are thought to have important biological functions related to membrane signaling and protein trafficking. To visualize the distribution of SM in lipid rafts by means of Raman microscopy, we designed and synthesized an SM analog tagged with a Raman-active diyne moiety (diyne-SM). Diyne-SM showed a strong peak in a Raman silent region that is free of interference from intrinsic vibrational modes of lipids and did not appear to alter the properties of SM-containing monolayers. Therefore, we used Raman microscopy to directly visualize the distribution of diyne-SM in raft-mimicking domains formed in SM/dioleoylphosphatidylcholine/chol ternary monolayers. Raman images visualized a heterogeneous distribution of diyne-SM, which showed marked variation, even within a single ordered domain. Specifically, diyne-SM was enriched in the central area of raft domains compared with the peripheral area. These results seem incompatible with the generally accepted raft model, in which the raft and nonraft phases show a clear biphasic separation. One of the possible reasons is that gradual changes of SM concentration occur between SM-rich and -poor regions to minimize hydrophobic mismatch. We believe that our technique of hyperspectral Raman imaging of a single lipid monolayer opens the door to quantitative analysis of lipid membranes by providing both chemical information and spatial distribution with high (diffraction-limited) spatial resolution.

Indexed as

Membranes, ArtificialCholesterolMembrane MicrodomainsMicroscopy, ConfocalMolecular StructurePhosphatidylcholinesReproducibility of ResultsSpectrum Analysis, RamanSphingomyelinsUnilamellar Liposomes1,2-oleoylphosphatidylcholineCholesterolMembranes, ArtificialPhosphatidylcholinesSphingomyelinsUnilamellar Liposomesalkyne taglipid raftRaman imagingsphingomyelinsupported monolayer

Identifiers

PMID25825736
PMCPMC4403184
OpenAlexW2050024106

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.