Evidence map›Paper›PMID 37131644›Full record

ArticlebioRxiv : the preprint server for biology2023

DECODING COMPLEXITY IN BIOMOLECULAR RECOGNITION OF DNA I-MOTIFS.

Kamyar Yazdani, Srinath Seshadri, Desiree Tillo, Charles Vinson, John S Schneekloth

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 3 countries.

Kamyar YazdaniChemical Biology Laboratory, National Cancer Institute, 1050 Boyle St., Frederick, MD 21702.
Srinath SeshadriChemical Biology Laboratory, National Cancer Institute, 1050 Boyle St., Frederick, MD 21702.
Desiree TilloGenome Analysis Unit, National Cancer Institute, 37 Convent Dr., Bethesda, MD 20892.
Charles VinsonLaboratory of Metabolism, Center for Cancer Research, National Cancer Institute, 37 Convent Dr., Bethesda MD 20892.
John S SchneeklothChemical Biology Laboratory, National Cancer Institute, 1050 Boyle St., Frederick, MD 21702.
Frederick National Laboratory for Cancer Research · USCancer Institute (WIA) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA i-motifs (iMs) are non-canonical C-rich secondary structures implicated in numerous cellular processes. Though iMs exist throughout the genome, our understanding of iM recognition by proteins or small molecules is limited to a few examples. We designed a DNA microarray containing 10,976 genomic iM sequences to examine the binding profiles of four iM-binding proteins, mitoxantrone, and the iMab antibody. iMab microarray screens demonstrated that pH 6.5, 5% BSA buffer was optimal, and fluorescence was correlated with iM C-tract length. hnRNP K broadly recognizes diverse iM sequences, favoring 3-5 cytosine repeats flanked by thymine-rich loops of 1-3 nucleotides. Array binding mirrored public ChIP-Seq datasets, in which 35% of well-bound array iMs are enriched in hnRNP K peaks. In contrast, other reported iM-binding proteins had weaker binding or preferred G-quadruplex (G4) sequences instead. Mitoxantrone broadly binds both shorter iMs and G4s, consistent with an intercalation mechanism. These results suggest that hnRNP K may play a role in iM-mediated regulation of gene expression

Indexed as

DNA recognitionDNA structuresfluorescent probeshigh-throughput screeningi-motif

Identifiers

PMID37131644
PMCPMC10153190
OpenAlexW4366774912

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.