Small proteome of Methanosarcina mazei: Insights from Ribo-seq and peptidomics under different nitrogen conditions
Ontology highlight
ABSTRACT:
ORGANISM(S): Methanosarcina mazei Go1
PROVIDER: GSE240615 | GEO | 2024/08/08
REPOSITORIES: GEO
Similar Datasets
Project description:We present a combinatorial approach, integrating experimental data from small protein-optimized mass spectrometry (MS) and ribosome profiling (Ribo-seq), to generate a high confidence inventory of small proteins in the model archaeon Haloferax volcanii.
2023-01-18 | GSE208086 | GEO
Project description:Small proteome of Methanosarcina mazei: Insights from Ribo-seq and peptidomics under different nitrogen conditions
| PRJNA1004312 | ENA
Project description:We generated Split-Cre transgenic mice strains to target microglia or Lyve1+ macrophages in the brain. To obtain translatome from the each population, Split-Cre mice were crossed with Ribo-tag reporter mice, and translatome were acquired with anti-HA antibody immuno-percipitation.
2020-08-18 | GSE156368 | GEO
Project description:Ribosome profiling was applied for the first time on S. meliloti to generate a translatome map. Our work reveals active translation for several ORFs including small ORFs (sORFs). In addition, our ribosome profiling data led to the discovery of several translated non-annotated sORFs. Translation of these non-annotated sORFs was validated by proteomics and western blotting.
2023-02-14 | GSE206492 | GEO
Project description:Through the translatome sequencing (Ribo-seq) of clinically obtained papillary thyroid carcinoma and its paired adjacent tissues, we tried to find the differences in the translation of various genes and evaluate the translation function of circular RNAs in the two tissues. We then performed gene expression profiling analysis using data obtained from Ribo-seq of 4 different pairs of Papillary Thyroid Carcinoma tissue sample and adjacent normal tissue. At the translatome level, we screened out 247 circRNAs with translation ability.
2024-08-01 | GSE212031 | GEO
Project description:The small proteome has already been well explored in eukaryal and bacterial species, but so far, archaeal genomes have not yet been analysed broadly with a dedicated focus on small proteins. Here, we present a combinatorial approach, integrating experimental information from small protein-optimized mass spectrometry (MS) and ribosome profiling (Ribo-seq) to generate a high confidence inventory of small proteins in the model archaeon Haloferax volcanii. Translation was demonstrated for 67% of the annotated small coding sequences by both methods. Annotation-independent data analysis allowed for the prediction of 47 sites of ribosomal engagement outside known coding regions by Ribo-seq, seven of whom correspond to the eight un-annotated small proteins identified by a similar independent analysis of proteomic data. We also present independent evidence in vivo for the translation of a subset of small proteins (comprising both previously annotated and newly identified), underlining the validity of our identification scheme. Moreover, several of these translated sORFs are conserved in Haloferax and might have important functions. Based on our findings, we conclude that the small proteome of H. volcanii is larger than previously expected and that the combined use of mass spectrometry to detect protein presence with Ribo-seq to inform on translation is a powerful tool for the discovery of new small protein-coding genes in diverse organisms. This data-set contains the search results obtained from an MS-Fragger search against a reference-genome derived database.
2023-02-01 | PXD031423 | Pride
Project description:The small proteome has already been well explored in eukaryal and bacterial species, but so far, archaeal genomes have not yet been analysed broadly with a dedicated focus on small proteins. Here, we present a combinatorial approach, integrating experimental information from small protein-optimized mass spectrometry (MS) and ribosome profiling (Ribo-seq) to generate a high confidence inventory of small proteins in the model archaeon Haloferax volcanii. Translation was demonstrated for 67% of the annotated small coding sequences by both methods. Annotation-independent data analysis allowed for the prediction of 47 sites of ribosomal engagement outside known coding regions by Ribo-seq, seven of whom correspond to the eight un-annotated small proteins identified by a similar independent analysis of proteomic data. We also present independent evidence in vivo for the translation of a subset of small proteins (comprising both previously annotated and newly identified), underlining the validity of our identification scheme. Moreover, several of these translated sORFs are conserved in Haloferax and might have important functions. Based on our findings, we conclude that the small proteome of H. volcanii is larger than previously expected and that the combined use of mass spectrometry to detect protein presence with Ribo-seq to inform on translation is a powerful tool for the discovery of new small protein-coding genes in diverse organisms. This data-set contains the validation of novel sORFs by synthetic reference peptides and spectral-library searches.
2023-02-01 | PXD031460 | Pride
Project description:The small proteome has already been well explored in eukaryal and bacterial species, but so far, archaeal genomes have not yet been analysed broadly with a dedicated focus on small proteins. Here, we present a combinatorial approach, integrating experimental information from small protein-optimized mass spectrometry (MS) and ribosome profiling (Ribo-seq) to generate a high confidence inventory of small proteins in the model archaeon Haloferax volcanii. Translation was demonstrated for 67% of the annotated small coding sequences by both methods. Annotation-independent data analysis allowed for the prediction of 47 sites of ribosomal engagement outside known coding regions by Ribo-seq, seven of whom correspond to the eight un-annotated small proteins identified by a similar independent analysis of proteomic data. We also present independent evidence in vivo for the translation of a subset of small proteins (comprising both previously annotated and newly identified), underlining the validity of our identification scheme. Moreover, several of these translated sORFs are conserved in Haloferax and might have important functions. Based on our findings, we conclude that the small proteome of H. volcanii is larger than previously expected and that the combined use of mass spectrometry to detect protein presence with Ribo-seq to inform on translation is a powerful tool for the discovery of new small protein-coding genes in diverse organisms. This data-set contains the search results obtained from an MS-Fragger search against six-frame genome translation-derived database that were mapped to the genome by Stephan Fuchs “Salt & Pepper” software suite for bacterial proteogenomics.
2023-02-01 | PXD031691 | Pride
Project description:The mesophilic methanogenic archaeal model organism Methanosarcina mazei strain Gö1, is crucial for climate and environmental research due to its ability to produce methane from H2 plus CO2, acetate, and methylamines. Here, we established the first Ribo-seq protocol for M. mazei strain Gö1 under two growth conditions (nitrogen sufficiency (+N) versus nitrogen limitation (-N)). Translation of 93 previously annotated and 311 novel small open reading frames (sORFs), coding for proteins ≤ 70 amino acids in length was predicted with high confidence based on Ribo-seq data. Epitope tagging followed by immunoblotting analysis confirmed the translation of 12 out of 15 selected novel sORFs, the remaining three were validated by LC-MS-MS analysis. In total, LC-MS-MS analysis validated translation for 60 annotated sORFs and 26 novel sORFs. A comprehensive differential expression analysis revealed that 29 of 311 novel sORFs were differentially regulated in response to nitrogen availability at the transcriptional and 49 at the translational level. Several reported sRNAs are now emerging as dual-functional sRNAs, including sRNA154, the central regulatory sRNA in regulation of nitrogen metabolism. Numerous of the novel sORFs identified in this study are conserved in Methanosarcina species, some of which showed a phenotype when overproduced, pinpointing important physiological functions. Overall, the comprehensive analysis opens a new avenue to start elucidating the function(s) of small proteins in M. mazei.
2024-08-02 | PXD045039 | Pride
Project description:Transcription and translation are intertwined processes where mRNA isoforms are crucial intermediaries. However, methodological limitations in analyzing translation at the mRNA isoform level have impaired our ability to comprehensively establish links between the full-length transcripts and the translatome. This has left gaps in our understanding of critical biological processes, regulatory mechanisms, and disease progression. To address this, we develop an integrated computational and experimental framework called long-read Ribo-STAMP (LR-Ribo-STAMP). LR-Ribo-STAMP capitalizes on advancements in long-read sequencing and RNA-base editing-mediated technologies to simultaneously and scalably profile translation and transcription at both gene and mRNA isoform levels for the first time. In this report, we show agreement between gene-level translation profiles obtained with LR-Ribo-STAMP and those from previously validated short-read Ribo-STAMP data in unperturbed cells. At the mRNA isoform level, we show that LR-Ribo-STAMP successfully profiles translation in unperturbed cells and links mRNA isoforms and regulatory features, such as upstream ORFs (uORFs) and regulatory sequences, to translation measurements. We further demonstrate the method’s effectiveness in profiling disease models by profiling translation at gene and isoform levels in a triple-negative breast cancer cell line under normoxia and hypoxia. Here, we find that LR-Ribo-STAMP effectively delineates orthogonal transcriptional and translation shifts between conditions at gene and isoform levels. At the isoform level, LR-Ribo-STAMP uniquely identifies key regulatory elements and shifts in mRNA isoform transcription that correlate with changes in translational, providing an example of insight that can inform the development of novel therapeutics. Overall, LR-Ribo-STAMP is a significant advancement in translation methods and can have profound implications for basic research and clinical applications.
2024-05-20 | GSE255844 | GEO