Prediction of Novel Disease-Related Regions in SIGLEC-7 by

Sayo Morishita, Masaya Hane, Di Wu, Ken Kitajima, Shiho Ohno, Yoshiki Yamaguchi, Chihiro Sato

Abstract read

In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sayo MorishitaGraduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan.

Masaya HaneGraduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan.ORCID 0000-0001-6830-2900

Di WuGraduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan.

Ken KitajimaGraduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan.

Shiho OhnoDivision of Structural Biology, Institute of Molecular Biomembrane and Glycobiology, Tohoku Medical and Pharmaceutical University, Sendai 981-8558, Japan.ORCID 0000-0002-4069-8744

Yoshiki YamaguchiDivision of Structural Biology, Institute of Molecular Biomembrane and Glycobiology, Tohoku Medical and Pharmaceutical University, Sendai 981-8558, Japan.ORCID 0000-0003-0100-5439

Chihiro SatoGraduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan.

Funding

Japan Society for the Promotion of Science Grant-in-Aid for Scientific Research(B) (KAKENHI 21H02425, 23K21291, and 25K02224)Ministry of Education, Culture, Sports, Science and Technology J-glyconetNagoya University Nagoya University Interdisciplinary Frontier Fellowship

6 · The paper itself

Abstract

SIGLECs are well-known receptors that distinguish self from non-self by binding to sialic acid-containing glycoconjugates, thereby regulating normal immune functions. They have also been associated with several diseases, including systemic sclerosis, leukemia, and Alzheimer's disease. To identify pathogenic regions related to ligand binding in SIGLECs using a novel approach, we employed the

Indexed as

Antigens, CDAntigens, Differentiation, B-LymphocyteAntigens, Differentiation, MyelomonocyticLectinsAmino Acid MotifsAmino Acid SequenceAmino Acid SubstitutionComputer SimulationHumansModels, MolecularMutationProtein BindingSialic Acid Binding Ig-like Lectin 3Sialic Acid Binding Immunoglobulin-like LectinsAntigens, CDAntigens, Differentiation, B-LymphocyteAntigens, Differentiation, MyelomonocyticCD33 protein, humanLectinsSialic Acid Binding Ig-like Lectin 3Sialic Acid Binding Immunoglobulin-like LectinsSIGLEC7 protein, humanimmune systemInMeRF programpathogenic mutationsialic acidSIGLECs

Identifiers

PMID42353205

DOI10.3390/ijms27125489

PMCPMC13299484

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

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.