Evidence map›Paper›PMID 30866809›Full record

ArticleBMC genomics2019

Transcriptomic analysis reveals novel downstream regulatory motifs and highly transcribed virulence factor genes of Entamoeba histolytica.

Sarah Naiyer, Devinder Kaur, Jamaluddin Ahamad, Shashi Shekhar Singh, Yatendra Pratap Singh, Vivek Thakur, Alok Bhattacharya, Sudha Bhattacharya

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

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  3. Exploring virulence and stress response inMicrobiology spectrum · 2025
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  6. Diversity and Plasticity of Virulent Characteristics ofTropical medicine and infectious disease · 2023
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  12. Taxon-Specific Proteins of the PathogenicFrontiers in cellular and infection microbiology · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Advances inFrontiers in microbiology · 2019
    Review
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 at 2 institutions in 1 country.

Sarah NaiyerSchool of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India.
Devinder KaurSchool of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India.
Jamaluddin AhamadSchool of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India.
Shashi Shekhar SinghSchool of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India.
Yatendra Pratap SinghSchool of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India.
Vivek ThakurCentre for Systems Biology, School of Life Sciences, University of Hyderabad, Hyderabad, India.
Alok BhattacharyaSchool of Life Sciences, Jawaharlal Nehru University, New Delhi, India.
Sudha BhattacharyaSchool of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India. sbjnu110@gmail.com.
Jawaharlal Nehru University · INUniversity of Hyderabad · IN

Funding

Department of Biotechnology , Ministry of Science and Technology BT/RLF/Re-Entry/47/2015Science and Engineering Research Board SB/S2/JCB-07/2014
6 · The paper itself

Abstract

backgroundPromoter motifs in Entamoeba histolytica were earlier analysed using microarray data with lower dynamic range of gene expression. Additionally, previous transcriptomic studies did not provide information on the nature of highly transcribed genes, and downstream promoter motifs important for gene expression. To address these issues we generated RNA-Seq data and identified the high and low expressing genes, especially with respect to virulence potential. We analysed sequences both upstream and downstream of start site for important motifs.

resultsWe used RNA-Seq data to classify genes according to expression levels, which ranged six orders of magnitude. Data were validated by reporter gene expression. Virulence-related genes (except AIG1) were amongst the highly expressed, while some kinases and BspA family genes were poorly expressed. We looked for conserved motifs in sequences upstream and downstream of the initiation codon. Following enrichment by AME we found seven motifs significantly enriched in high expression- and three in low expression-classes. Two of these motifs (M4 and M6) were located downstream of AUG, were exclusively enriched in high expression class, and were mostly found in ribosomal protein, and translation-related genes. Motif deletion resulted in drastic down regulation of reporter gene expression, showing functional relevance. Distribution of core promoter motifs (TATA, GAAC, and Inr) in all genes revealed that genes with downstream motifs were not preferentially associated with TATA-less promoters. We looked at gene expression changes in cells subjected to growth stress by serum starvation, and experimentally validated the data. Genes showing maximum up regulation belonged to the low or medium expression class, and included genes in signalling pathways, lipid metabolism, DNA repair, Myb transcription factors, BspA, and heat shock. Genes showing maximum down regulation belonged to the high or medium expression class. They included genes for signalling factors, actin, Ariel family, and ribosome biogenesis factors.

conclusionOur analysis has added important new information about the E. histolytica transcriptome. We report for the first time two downstream motifs required for gene expression, which could be used for over expression of E. histolytica genes. Most of the virulence-related genes in this parasite are highly expressed in culture.

Indexed as

Entamoeba histolyticaGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksPromoter Regions, GeneticSequence Analysis, RNAVirulence FactorsWhole Genome SequencingVirulence FactorsDifferential expressionDownstream promoter motifEntamoeba histolyticaHighly transcribed genesMotif enrichmentSerum starvationTranscriptomeVirulence genes

Identifiers

PMID30866809
PMCPMC6416950
OpenAlexW2939225006

What OpenQuestion holds

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LicenceCC BY
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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.