halodata

Halodata maps genome-scale post-transcriptional regulatory interactions in Halobacterium salinarum NRC-1 to elucidate transcription–translation interplay during environmental acclimation.


Key Features:

  • Integration of omics data: Combines transcript processing sites (TPSs), SmAP1 binding, genome-wide antisense RNAs (asRNAs), and RNase_2099C knockout differential expression with transcriptome and proteome measurements.
  • Comprehensive gene targeting: Identifies that 54% of protein-coding genes are likely targets of multiple post-transcriptional mechanisms, with ~20% subject to combinatorial regulation by SmAP1, asRNAs, and RNase_2099C.
  • Conditional regulation insights: Compares mRNA levels (RNA-Seq) and protein levels (SWATH-MS) to reveal conditional post-transcriptional regulation affecting 7% of protein-coding genes across four phases of batch culture growth in complex medium.
  • Environmental acclimation mechanisms: Links post-transcriptional regulation to rapid acclimation responses, including activation of gas vesicle biogenesis under anoxic conditions and modulation of transposition frequency by insertion sequence elements IS*200*/IS*605*, IS*4*, and IS*H3*.

Scientific Applications:

  • Archaeal gene regulation studies: Supports investigation of post-transcriptional control mechanisms in Archaea, specifically in Halobacterium salinarum NRC-1.
  • Environmental acclimation research: Enables study of molecular mechanisms underlying stress responses such as anoxia and transposition regulation mediated by insertion sequences.

Methodology:

Integrates transcriptome and proteome data by comparing mRNA levels from RNA-Seq with protein levels from SWATH-MS and incorporates TPSs, SmAP1 binding, genome-wide asRNA locations, and RNase_2099C knockout differential expression to infer post-transcriptionally regulated genes.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
3/27/2023
Last Updated:
11/24/2024

Operations

Publications

Lorenzetti APR, Kusebauch U, Zaramela LS, Wu W, de Almeida JPP, Turkarslan S, L. G. de Lomana A, Gomes-Filho JV, Vêncio RZN, Moritz RL, Koide T, Baliga NS. A Genome-Scale Atlas Reveals Complex Interplay of Transcription and Translation in an Archaeon. mSystems. 2023;8(2). doi:10.1128/msystems.00816-22. PMID:36912639. PMCID:PMC10134880.

PMID: 36912639
Funding: - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior: Finance Code 001 - Fundação de Amparo à Pesquisa do Estado de São Paulo: #2009/09532-0, #2011/07487-7, #2013/21522-5, #2015/21038-1, #2017/03052-2, #2019/13440-5 - HHS | NIH | NIH Office of the Director: S10OD026936 - HHS | NIH | National Institute of General Medical Sciences: R01GM087221 - National Science Foundation: DBI-1920268, MCB-1616955, MCB-2105570