Dataset Information

Long noncoding RNA (lncRNA), smORF encoded polypeptides (SEPs), NONCODE database, enrichment, mass spectrometry

ABSTRACT: Many small open reading frames (smORFs) embedded in lncRNA transcripts have been shown to encode biologically functional polypeptides (smORFs-encoded polypeptides, SEPs) in different organisms. Despite significant advances in genomics, bioinformatics and proteomics that largely enabled the discovery of novel SEPs, their identification across different biological samples is still hampered by their poor predictability, diminutive size and low relative abundance. Here, we take advantage of NONCODE, a repository containing the most complete collection and annotation of lncRNA transcripts from different species, to build a novel database that attempts to maximize a collection of SEPs from human and mouse lncRNA transcripts. In order to further improve SEP discovery, we implemented two effective and complementary polypeptide enrichment strategies, 30 kDa MWCO filter and C8 SPE column. These combined strategies enabled us to discover 357 and 409 SEPs from, respectively, 8 human cell lines, and 3 mouse cell lines and 8 mouse tissues. Importantly, nineteen of the identified SEPs were then verified through in-vitro expression, immunoblotting, parallel reaction monitoring (PRM) and synthetic peptides. Subsequent bioinformatic analysis revealed that some of the physical and chemical properties of these novel SEPs, including amino acid composition and codon usage, are different from those commonly found in canonical proteins. Intriguingly, nearly 65% of the identified SEPs were found to be initiated with non-AUG start codons. Overall, the strategy presented in this study encompasses an efficient workflow that enabled us to identify 766 novel SEPs across multiple cell lines and tissues, which probably represents the largest number of SEPs detected by mass spectrometry reported to date. These novel SEPs might not only provide new clues for the annotation of noncoding elements in the genome but can also serve as a valuable resource for the functional characterization of individual SEPs.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human) Mus Musculus (mouse)

TISSUE(S): Spleen, Testis, Heart, Lung, Liver, Kidney

SUBMITTER: Qing Zhang

LAB HEAD: Fuquan Yang

PROVIDER: PXD019486 | Pride | 2021-06-15

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	20161202_Hela_1_D.raw	Raw
	20161202_Hela_1_D_Merged.msf	Msf
	20161202_Hela_1_unDigestion.raw	Raw
	20161202_Hela_1_unDigestion_Merged.msf	Msf
	20161202_Hela_2_D.raw	Raw

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Publications

Deeply Mining a Universe of Peptides Encoded by Long Noncoding RNAs.

Zhang Qing Q Wu Erzhong E Tang Yiheng Y Cai Tanxi T Zhang Lili L Wang Jifeng J Hao Yajing Y Zhang Bao B Zhou Yue Y Guo Xiaojing X Luo Jianjun J Chen Runsheng R Yang Fuquan F

Molecular & cellular proteomics : MCP 20210612

Many small ORFs embedded in long noncoding RNA (lncRNA) transcripts have been shown to encode biologically functional polypeptides (small ORF-encoded polypeptides [SEPs]) in different organisms. Despite some novel SEPs have been found, the identification is still hampered by their poor predictability, diminutive size, and low relative abundance. Here, we take advantage of NONCODE, a repository containing the most complete collection and annotation of lncRNA transcripts from different species, to ...[more]

PMID: 34129944

Similar Datasets

Project description:Long non-coding RNAs (lncRNAs) are generally defined as RNA transcripts longer than 200 nucleotides that are not translated into proteins. Recently, many small open reading frames (smORFs) embedded in lncRNA scripts have been verified to be able to encode functional polypeptides (namely lncRNA-SEPs here). Although collaborative analysis by advanced genomics, bioinformatics and proteomics largely drives SEPs discovery, the poor predictability, diminutive size and low abundance still challenge systematic identification of SEPs from different biological samples. Here, we took advantage of the NONCODE database that deposited with the most complete collection and annotation of lncRNA transcripts from different species to build a database that to maximally collect all putative small ORFs from human and mouse lncRNA transcripts. Two effective and complementary polypeptides enrichment strategies (30 kDa MWCO filter and C8 SPE column) were also integrated to further improve the discovery of novel lncRNA-SEPs. These efforts led to the discovery of 362 lncRNA-SEPs from 8 human cell lines and 238 lncRNA-SEPs from 3 mouse cell lines and 8 mouse tissues. 18 out of these lncRNA-SEPs were verified experimentally by multiple technologies including in vitro expression, immunoblotting and parallel reaction monitoring-based mass spectrometry (PRM-MS) in 293T cells. Further bioinformatic analysis reveals that the physical and chemical properties of these novel lncRNA-SEPs, such as amino acid composition and codon usage, are varied from canonical proteins. Intriguingly, nearly 70% of the identified lncRNA-SEPs were found to be initiated with non-AUG start codons. Collectively, the efficient workflows presented in this study enables us identify 600 novel lncRNA-SPEs from multiple cell lines and tissues, which should represent the largest number of MS-detected lncRNA-encoding SEPs ever reported to date. These novel lncRNA-SEPs not only could provide new clues for the annotation of the noncoding elements in the genome, but also could serve as a valuable resource for the functional characterization of individual lncRNA-SEPs.

Project description:The discovery of small open reading frames (smORFs) encoding for polypeptides (SEPs; <100aa) highlights that the coding capacity of the genomes has been underestimated. Most ORF-finding algorithms have historically set a minimum threshold length of 100 aa. As consequence, some transcripts encoding for SEPs, were erroneously discarded or classified as non-coding RNAs (ncRNAs). With this experiments we try to experimentally assess the existence and complexity of these small proteins. The experimental design includes: After growing each Mycoplasma for 6h at 37°C, cells were washed twice with PBS and lysed with 700 µl of Qiazol buffer. Then, samples were lysed with 700 µl of Qiazol buffer. RNA extractions were performed by using the miRNeasy mini Kit (Qiagen) following the instructions of the manufacturer. Libraries for RNA-seq were prepared following directional RNA-seq library preparation and sequencing. Briefly, 1 µg of total RNA was fragmented to ~100-150 nt using NEB Next Magnesium RNA Fragmentation Module (ref. E6150S, NEB). Treatments with Antarctic phosphatase (ref. M0289S, NEB) and PNK (ref. M0201S, NEB) were performed in order to make the 5’ and 3’ ends of the RNA available for adapter ligation. Samples were further processed using the TruSeq small RNA Sample Prep Kit (ref. RS-200-0012, Illumina) according to the manufacturer's protocol. In summary, 3’ adapters and subsequently 5’ adapters were ligated to the RNA. cDNA was synthesized using reverse transcriptase (SuperScript II, ref. 18064-014, Invitrogen) and a specific primer (RNA RT Primer) complementary to the 3’ RNA adapter. cDNA was further amplified by PCR using indexed adapters supplied in the kit. Finally, size selection of the libraries was performed using 6% Novex® TBE Gels (ref. EC6265BOX, Life Technologies). Fragments with insert sizes of 100 to 130 bp were cut from the gel, and cDNA was precipitated and eluted in 10 µl of elution buffer. Double-stranded templates were cluster amplified and sequenced on an Illumina HiSeq 2000.