Evidence map›Paper›PMID 32989646›Full record

ArticleBiochemical genetics2021

A Crosstalk on Codon Usage in Genes Associated with Leukemia.

Supriyo Chakraborty, Durbba Nath, Sunanda Paul, Yashmin Choudhury, Yeongseon Ahn, Yoon Shin Cho, Arif Uddin

Abstract read
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In one paragraph

Article in Biochemical genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Supriyo ChakrabortyDepartment of Biotechnology, Assam University, Silchar, Assam, 788011, India. supriyoch_2008@rediffmail.com.ORCID http://orcid.org/0000-0002-5996-2760
Durbba NathDepartment of Biotechnology, Assam University, Silchar, Assam, 788011, India.
Sunanda PaulDepartment of Biotechnology, Assam University, Silchar, Assam, 788011, India.
Yashmin ChoudhuryDepartment of Biotechnology, Assam University, Silchar, Assam, 788011, India.
Yeongseon AhnDepartment of Biomedical Science, Hallym University, Hallymdachak-gil, Chuncheon, 24252, Gangwon-do, Korea.
Yoon Shin ChoDepartment of Biomedical Science, Hallym University, Hallymdachak-gil, Chuncheon, 24252, Gangwon-do, Korea.
Arif UddinDepartment of Zoology, Moinul Hoque Choudhury Memorial Science College, Algapur, Hailakandi, Assam, 788150, India.
Assam University · INHallym University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leukemia is the outcome of aggregation of damaged white blood cells. Several genes were reported to be associated with the pathogenesis of leukemia. These genes were computationally analyzed to decipher their codon usage bias (CUB) and to identify the prime factors influencing the codon usage profile as no work was reported yet. The mean values of synonymous codon usage order (SCUO) parameter indicated low CUB of the genes. Significant positive association of SCUO with overall GC and positional GCs might signal the presence of mutational pressure. However, neutrality plot suggested the dominant role of natural selection across the genes. Along with natural selection, the role of mutation pressure was also prominent and that might be responsible for lower CUB (SCUO = 0.19) of genes. Low translational speed might permit accuracy in the process. A strong inverse relationship of translational rate was observed with CUB of genes and folding energy.

Indexed as

CodonDNA Mutational AnalysisGenes, NeoplasmGenetic Predisposition to DiseaseCodon UsageComputational BiologyHumansLeukemiaMutationNucleotidesProtein FoldingRNA, MessengerSelection, GeneticCodonNucleotidesRNA, MessengerCodon usage biasDirectional mutational pressureFolding energyLeukemiaTranslational speed

Identifiers

PMID32989646
OpenAlexW3090570134

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.