2022
DOI: 10.1016/j.csbj.2022.07.007
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Proteotranscriptomics – A facilitator in omics research

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Cited by 6 publications
(4 citation statements)
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“…Previously, most studies exploring the venom composition of sea anemones and other venomous species have only utilised transcriptomics approaches to profile probable toxins in venom. Here, we have provided further evidence to support the assertion that a combined proteomics and transcriptomics approach is essential to accurately profile venom composition [ 24 , 27 , 49 , 50 ], particularly in the context of symbiosis, as anemonefish interact with host sea anemone venom proteins rather than RNA transcripts.…”
Section: Discussionmentioning
confidence: 64%
See 1 more Smart Citation
“…Previously, most studies exploring the venom composition of sea anemones and other venomous species have only utilised transcriptomics approaches to profile probable toxins in venom. Here, we have provided further evidence to support the assertion that a combined proteomics and transcriptomics approach is essential to accurately profile venom composition [ 24 , 27 , 49 , 50 ], particularly in the context of symbiosis, as anemonefish interact with host sea anemone venom proteins rather than RNA transcripts.…”
Section: Discussionmentioning
confidence: 64%
“…The study of sea anemone venom has begun to use a combined transcriptomics and proteomics approach, also known as proteotranscriptomics [ 14 , 24 , 25 , 26 , 27 , 28 ]. Using proteotranscriptomics provides a more holistic overview of venom complexity, enabling the detection of novel proteins [ 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…Although the precision of the method was very high, the restrained proteome coverage of the mass spectrometry measurements poses a certain limit to the comprehensiveness of our annotation. In principle, the overall range of detected proteins could be extended by applying technological and methodological adjustments (Levin and Butter 2022). However, even with RNA sequencing, we could detect meaningful counts for only ∼43% of the annotated C. elegans genes (8581 transcripts with at least 10 detected tpm).…”
Section: Discussionmentioning
confidence: 96%
“…Structure prediction of large genes is still a problem [29]. The best results are obtained by comparing genomic and cDNA sequences or by using proteomic data [30]. Previous identification of P150/ser6 sequences in G. mellonella and E. kuehniella was successfully performed using this approach [13, 14].…”
Section: Discussionmentioning
confidence: 99%