Identification and functional analysis of transcriptome profiles, long non-coding RNAs, single-nucleotide polymorphisms, and alternative splicing from the oocyte to the preimplantation stage of sheep by single-cell RNA sequencing Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.20944/preprints202304.0773.v1
Numerous dynamic and complicated processes characterize development from the oocyte to the embryo. However, given the importance of functional transcriptome profiles, long non-coding RNAs, single-nucleotide polymorphisms, and alternative splicing during embryonic development, the effect that these features have on the blastomeres of 2-, 4-, 8-, 16-cell, and morula stages of development have not been studied. Here, we conducted a scRNA-seq survey of cells from sheep from the oocyte to the blastocyst developmental stages. We then carried out experiments to identify and functionally analyze the transcriptome profiles, long non-coding RNAs, single-nucleotide polymorphisms (SNPs), and alternative splicing (AS). We founded that between the oocyte and zygote groups significantly down-regulated genes and the second-largest change in gene expression occurred between the 8- and 16-cell stages. We used various methods to construct a profile to characterize cellular and molecular features and systematically analyze the related GO and KEGG profile of cells of all stages from the oocyte to the blastocyst. This large-scale, single-cell atlas provides key cellular information and will likely assist clinical studies in improving preimplantation genetic diagnosis.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.20944/preprints202304.0773.v1
- https://www.preprints.org/manuscript/202304.0773/v1/download
- OA Status
- green
- Cited By
- 1
- References
- 47
- Related Works
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- OpenAlex ID
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https://openalex.org/W4366777042Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20944/preprints202304.0773.v1Digital Object Identifier
- Title
-
Identification and functional analysis of transcriptome profiles, long non-coding RNAs, single-nucleotide polymorphisms, and alternative splicing from the oocyte to the preimplantation stage of sheep by single-cell RNA sequencingWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-04-23Full publication date if available
- Authors
-
Zi Jing Zhang, Qiao ting Shi, Xiao ting Zhu, Lei Jin, Li min Lang, Shi jie Lyv, Xiao ling Xin, Yongzhen Huang, X. D. Yu, Zhiming Li, Su Juan Chen, Zhao xue Xu, Wei Zhang, Er yao WangList of authors in order
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https://doi.org/10.20944/preprints202304.0773.v1Publisher landing page
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https://www.preprints.org/manuscript/202304.0773/v1/downloadDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.preprints.org/manuscript/202304.0773/v1/downloadDirect OA link when available
- Concepts
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Biology, Zygote, Transcriptome, Blastocyst, Oocyte, Genetics, RNA splicing, Alternative splicing, Computational biology, Single-nucleotide polymorphism, Gene, Embryo, Blastomere, Gene expression, RNA, Embryogenesis, Messenger RNA, GenotypeTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2023: 1Per-year citation counts (last 5 years)
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47Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.single-cell | 158 |
| abstract_inverted_index.characterize | 5, 131 |
| abstract_inverted_index.development, | 31 |
| abstract_inverted_index.functionally | 81 |
| abstract_inverted_index.large-scale, | 157 |
| abstract_inverted_index.developmental | 71 |
| abstract_inverted_index.polymorphisms | 90 |
| abstract_inverted_index.significantly | 105 |
| abstract_inverted_index.transcriptome | 19, 84 |
| abstract_inverted_index.down-regulated | 106 |
| abstract_inverted_index.polymorphisms, | 25 |
| abstract_inverted_index.second-largest | 110 |
| abstract_inverted_index.systematically | 137 |
| abstract_inverted_index.preimplantation | 172 |
| abstract_inverted_index.single-nucleotide | 24, 89 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 14 |
| citation_normalized_percentile.value | 0.68553748 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |