Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 204

The DOI matches its Crossref record.

Characterization of macromolecule resonances in the 1H NMR spectrum of rat brain

Behar, Kevin L., Ogino, Takashi·1993·Magnetic Resonance in Medicine

Abstract

The 1 H NMR spectrum of the macromolecule fraction of rat brain cytosol was investigated following centrifugation and dialysis to remove low molecular weight metabolites and peptides (<3500 daltons). At least seven well resolved resonances were detected between 0.9 and 3.0 ppm in the 1 H NMR spectrum of rat brain cytosol after dialysis, several of which cannot be observed in vivo due to overlap with N‐acetylaspartate, glutamate, glutamine, creatine, and yaminobutyric acid. Several cross‐peaks detected in 2D COSY spectra of the cytosolic macromolecule fraction coincided with those measured in a previous study of rat brain tissue in vitro and in situ (K. L. Behar, T. Ogino, Magn. Reson. Med. 17, 285 (1991)). Treatment of the cytosolic macromolecule fraction with a nonspecific protease permitted partial assignments of resonances in the 1 H NMR spectrum to specific amino acids. Fractionation of the dialyzed cytosol of rat brain by gel filtration yielded qualitatively similar 1 H NMR spectra for elution volumes corresponding to molecular masses from 12.5 kDa to over 100 kDa. The results indicate that many of the background nonmetabolite resonances observed in the 1 H NMR spectrum of normal brain tissue arise from cytosolic proteins.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/mrm.1910300107

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 204

Metadata

Authors
Behar, K. L., & Ogino, T.
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
1993-07
Volume
30
Issue
1
Pages
38-44
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
OpenAlex
W2014783107
Cited by
204
References
0
FWCI
8.32
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Characterization of macromolecule resonances in the 1H NMR spectrum of rat brain. https://app.cochat.ai/papers/10.1002/mrm.1910300107
The paper
Behar, K. L., & Ogino, T. (1993). Characterization of macromolecule resonances in the 1H NMR spectrum of rat brain. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910300107

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.