Open Access
| Issue |
BIO Web Conf.
Volume 237, 2026
2026 8th International Conference on Biotechnology and Biomedicine (ICBB 2026)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 7 | |
| Section | Molecular and Cellular Pathophysiology | |
| DOI | https://doi.org/10.1051/bioconf/202623701008 | |
| Published online | 10 June 2026 | |
- B. Hwang, J.H. Lee, D. Bang, Single-cell RNA sequencing technologies and bioinformatics pipelines, Exp. Mol. Med. 50, 1–14 (2018) [Google Scholar]
- Z. Zhang, F. Cui, C. Wang, L. Zhao, Q. Zou, Goals and approaches for each processing step for single-cell RNA sequencing data, Brief. Bioinform. 22, bbaa314 (2021) [Google Scholar]
- P.L. Stahl, F. Salmen, S. Vickovic, et al., Visualization and analysis of gene expression in tissue sections by spatial transcriptomics, Science 353, 78–82 (2016) [Google Scholar]
- M.D. Luecken, M. Büttner, K. Chaichoompu, et al., Benchmarking atlas-level data integration in single-cell genomics, Nat. Methods 19, 41–50 (2022) [Google Scholar]
- B. Liao, Q. Ouyang, H. Song, et al., Characteristic analysis of skin keratinocytes in patients with type 2 diabetes based on the single-cell levels, Chin. Med. J. 135, 2461–2466 (2022) [Google Scholar]
- H.E. Johnsen, L. Lin, J. Chen, Practical bioinformatics pipelines for single-cell RNA-seq data analysis, Biophys. Rep. 8, 158–169 (2022) [Google Scholar]
- D.A. Cusanovich, J.P. Reddington, D.A. Garfield, R.M. Daza, D. Aghamirzaie, R. Marco-Ferreres, et al., The cis-regulatory dynamics of embryonic development at single-cell resolution, Nature 555, 538–542 (2018) [Google Scholar]
- C. Cui, F. Cui, Q. Zou, Z. Zhang, L. Jia, Progress and applications of single-cell RNA sequencing and spatial transcriptome technology in acute kidney injury research, Mol. Ther. Nucleic Acids 36, 102583 (2025) [Google Scholar]
- S. Jiang, Z. Huang, Y. Li, C. Yu, H. Yu, Y. Ke, et al., Single-cell chromatin accessibility and transcriptome atlas of mouse embryos, Cell Rep. 42, 112210 (2023) [Google Scholar]
- K. Sun, X. Liu, X. Lan, A single-cell atlas of chromatin accessibility in mouse organogenesis, Nat. Cell Biol. 26, 1200–1211 (2024) [Google Scholar]
- Y. Xu, J. Zhang, Y. Hu, X. Li, L. Sun, Y. Peng, et al., Single-cell transcriptome analysis reveals the dynamics of human immune cells during early fetal skin development, Cell Rep. 36, 109524 (2021) [Google Scholar]
- Y.S. Michaels, M.C. Major, B. Bonham-Carter, J. Zhang, T. Heydari, J.M. Edgar, et al., Tracking the gene expression programs and clonal relationships that underlie mast, myeloid, and T lineage specification from stem cells, Cell Syst. 15, 1245–1263.e10 (2024) [Google Scholar]
- P. Perdiguero, P. Jiménez-Barrios, E. Morel, B. Abós, C. Tafalla, Single-cell atlas of rainbow trout peripheral blood leukocytes and profiling of their early response to infectious pancreatic necrosis virus, Front. Immunol. 15, 1404209 (2024) [Google Scholar]
- C. Hinze, C. Kocks, J. Leiz, N. Karaiskos, A. Boltengagen, S. Cao, et al., Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury, Genome Med. 14, 103 (2022) [Google Scholar]
- Y. Li, Z. Wang, H. Xu, et al., Targeting the transmembrane cytokine co-receptor neuropilin-1 in distal tubules improves renal injury and fibrosis, Nat. Commun. 15, 5731 (2024) [Google Scholar]
- L. Qin, G. Zhang, S. Zhang, Y. Chen, Deep Batch Integration and Denoise of Single-Cell RNA-Seq Data, Adv. Sci. (Weinh.) 11, e2308934 (2024) [Google Scholar]
- T. Athaya, R.C. Ripan, X. Li, H. Hu, Multimodal deep learning approaches for single-cell multi-omics data integration, Brief. Bioinform. 24, bbad313 (2023) [Google Scholar]
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