Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 20% 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
2 citing papers in PubMed, 8 citations in OpenAlex.
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
17 authors at 5 institutions in 1 country.
Xiao TianState Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China.ORCID 0000-0001-6294-6342
Lingna ZhengCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-7480-7331
Changjiang WangState Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China.ORCID 0000-0002-9284-9305
Yida HanState Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China.ORCID 0000-0002-0980-8001
Yujie LiState Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China.ORCID 0009-0003-4371-6359
Tongxiao CuiState Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China.ORCID 0000-0001-7392-7024
Jialin LiuCollege of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID 0000-0002-9450-0772
Chuanming LiuCenter for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.ORCID 0000-0003-0678-9092
Guogeng JiaCollege of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID 0009-0007-1949-5620
Lujie YangDepartment of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China.ORCID 0000-0003-0013-0529
Yi HsuState Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China.ORCID 0009-0004-3697-9406
Chen ZengDepartment of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Lijun DingCenter for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.ORCID 0000-0002-6330-7945
Chu WangCollege of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID 0000-0002-6925-1268
Bo ChengSchool of Pharmaceutical Sciences, Peking University, Beijing, China.ORCID 0000-0002-3449-8957
Meng WangCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China. wangmeng@ihep.ac.cn.ORCID 0000-0002-4970-8590
Ran XieState Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China. ranxie@nju.edu.cn.ORCID 0000-0001-5170-2940
Nanjing University · CNPeking University · CNChinese Academy of Sciences · CNNanjing Drum Tower Hospital · CNSouthern University of Science and Technology · CN
Funding
National Natural Science Foundation of China (National Science Foundation of China) 2207070006National Natural Science Foundation of China (National Science Foundation of China) 22107005Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) BK20200299Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) BK20202004
6 · The paper itself
Abstract
Metabolic oligosaccharide engineering (MOE) is a classical chemical approach to perturb, profile and perceive glycans in physiological systems, but probes upon bioorthogonal reaction require accessibility and the background signal readout makes it challenging to achieve glycan quantification. Here we develop SeMOE, a selenium-based metabolic oligosaccharide engineering strategy that concisely combines elemental analysis and MOE,enabling the mass spectrometric imaging of glycome. We also demonstrate that the new-to-nature SeMOE probes allow for detection, quantitative measurement and visualization of glycans in diverse biological contexts. We also show that chemical reporters on conventional MOE can be integrated into a bifunctional SeMOE probe to provide multimodality signal readouts. SeMOE thus provides a convenient and simplified method to explore the glyco-world.
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.
Selenium-based metabolic oligosaccharide engineering strategy for quantitative glycan detection. · full record | OpenQuestion