Evidence map›Paper›PMID 31572324›Full record

ArticleFrontiers in microbiology2019

Highly Efficient Preparation of Cyclic Dinucleotides

Yun Lv, Qichao Sun, Xiaodan Wang, Yi Lu, Yaoyao Li, Huiqing Yuan, Jing Zhu, Deyu Zhu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. 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
–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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Ectopic expression of cGAS inJournal for immunotherapy of cancer · 2023
    Article
  6. Review
  7. Article
  8. Enzymatic Syntheses and Applications of Fluorescent Cyclic Dinucleotides.Chemistry (Weinheim an der Bergstrasse, Germany) · 2020
    Article
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.

Yun LvDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shandong University, Jinan, China.
Qichao SunDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shandong University, Jinan, China.
Xiaodan WangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shandong University, Jinan, China.
Yi LuDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shandong University, Jinan, China.
Yaoyao LiKey Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Shandong University, Jinan, China.
Huiqing YuanDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shandong University, Jinan, China.
Jing ZhuState Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Deyu ZhuDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclic dinucleotides (CDNs) are widely used secondary signaling molecules in bacterial and mammalian cells. The family of CDNs includes c-di-GMP, c-di-AMP and two distinct versions of hybrid cGAMPs. Studies related to these CDNs require large doses that are relatively expensive to generate by current methods. Here we report what to our knowledge is the first feasible microbial-based method to prepare these CDNs including c-di-GMP, 3'3'-cGAMP and 2'3'-cGAMP. The method mainly includes two parts: producing high yield of CDNs by engineering the overexpression of the proper dinucleotide cyclases (DNCs) and other related proteins in

Indexed as

adjuvantaffinity purificationcyclic dinucleotidesdinucleotide cyclasesmicrobial preparation

Identifiers

PMID31572324
PMCPMC6753226

What OpenQuestion holds

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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.