Literature DB >> 32172469

Global profile changes in transcripts induced with a phosphate analogue: implications for gene regulation.

Elizabeth G Frayne1.   

Abstract

Previous work has shown that thiophosphate, a phosphate analogue, leads to a global shift in the distribution of cellular proteins in a variety of organisms. Thiophosphate, when added to culture media, gets incorporated into the nucleic acids of cells resulting in nuclease-resistant phosphorothioate linkages. Using Escherichia coli, as a model organism, it was found that the global changes in protein expression induced with thiophosphate could be accounted for by significant changes in the absolute transcription levels of more than 1500 genes detected via RNA seq analysis. In fact, 58% of transcripts detected in RNA seq studies using total RNA were increased an average of 44 × fold while the remaining 42% were decreased an average of 20 × fold in thiophosphate-treated cells. Furthermore, microarray results showed no correlation between the transcriptional changes observed and the known stability of the corresponding mRNAs measured. Overall, the total amount of non-ribosomal RNA accumulated in TP-treated cells was increased relative to rRNA ~ 4 × fold (1.5-6 ×). The results further indicated that metabolic changes may play a role in inducing the transcriptional profiles observed with thiophosphate. Indeed, pathway analysis of transcripts showed an increase in routes for phosphoribosyl pyrophosphate (PRPP) synthesis and related derivatives, presumably due to a reduction in RNA turnover. These results raise the possibility that the energy savings with reduced RNA turnover could lead to an increased energy charge in the cell that induces transcriptional changes leading to an increase in biosynthetic processes.

Entities:  

Keywords:  Cell biology; Chemical biology; Gene expression; Phosphate; Proteomics; Synthetic biology; Systems biology; mRNA stability

Mesh:

Substances:

Year:  2020        PMID: 32172469     DOI: 10.1007/s11010-020-03715-9

Source DB:  PubMed          Journal:  Mol Cell Biochem        ISSN: 0300-8177            Impact factor:   3.396


  16 in total

1.  Global RNA half-life analysis in Escherichia coli reveals positional patterns of transcript degradation.

Authors:  Douglas W Selinger; Rini Mukherjee Saxena; Kevin J Cheung; George M Church; Carsten Rosenow
Journal:  Genome Res       Date:  2003-02       Impact factor: 9.043

2.  Exploration, normalization, and summaries of high density oligonucleotide array probe level data.

Authors:  Rafael A Irizarry; Bridget Hobbs; Francois Collin; Yasmin D Beazer-Barclay; Kristen J Antonellis; Uwe Scherf; Terence P Speed
Journal:  Biostatistics       Date:  2003-04       Impact factor: 5.899

3.  Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks.

Authors:  Cole Trapnell; Adam Roberts; Loyal Goff; Geo Pertea; Daehwan Kim; David R Kelley; Harold Pimentel; Steven L Salzberg; John L Rinn; Lior Pachter
Journal:  Nat Protoc       Date:  2012-03-01       Impact factor: 13.491

4.  Conserved mechanism of action of a phosphate analogue in cultured cells.

Authors:  Elizabeth G Frayne
Journal:  Mol Cell Biochem       Date:  2016-03-15       Impact factor: 3.396

5.  StringTie enables improved reconstruction of a transcriptome from RNA-seq reads.

Authors:  Mihaela Pertea; Geo M Pertea; Corina M Antonescu; Tsung-Cheng Chang; Joshua T Mendell; Steven L Salzberg
Journal:  Nat Biotechnol       Date:  2015-02-18       Impact factor: 54.908

Review 6.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

7.  Stereochemical bias introduced during RNA synthesis modulates the activity of phosphorothioate siRNAs.

Authors:  Hartmut Jahns; Martina Roos; Jochen Imig; Fabienne Baumann; Yuluan Wang; Ryan Gilmour; Jonathan Hall
Journal:  Nat Commun       Date:  2015-03-06       Impact factor: 14.919

8.  Comparative evaluation of rRNA depletion procedures for the improved analysis of bacterial biofilm and mixed pathogen culture transcriptomes.

Authors:  Olga E Petrova; Fernando Garcia-Alcalde; Claudia Zampaloni; Karin Sauer
Journal:  Sci Rep       Date:  2017-01-24       Impact factor: 4.379

9.  The Omics Dashboard for interactive exploration of gene-expression data.

Authors:  Suzanne Paley; Karen Parker; Aaron Spaulding; Jean-Francois Tomb; Paul O'Maille; Peter D Karp
Journal:  Nucleic Acids Res       Date:  2017-12-01       Impact factor: 16.971

10.  Version 4.0 of PaxDb: Protein abundance data, integrated across model organisms, tissues, and cell-lines.

Authors:  Mingcong Wang; Christina J Herrmann; Milan Simonovic; Damian Szklarczyk; Christian von Mering
Journal:  Proteomics       Date:  2015-03-12       Impact factor: 3.984

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