收藏切换
Co-evolution of single-cell sequencing platforms and bioinformatics analytical frameworks
收藏切换
Yanan Wanga, b, c, d, Fei Yane, Mingzhu Yina, b, c, d, Xin Lia, b, c, d, *
Modern Instruments & Medical Treatment | 2026, 32(3) : 25 - 33
Less
收藏切换
Modern Instruments & Medical Treatment | 2026, 32(3): 25-33
Co-evolution of single-cell sequencing platforms and bioinformatics analytical frameworks
Full
Yanan Wanga, b, c, d, Fei Yane, Mingzhu Yina, b, c, d, Xin Lia, b, c, d, *
Affiliations
  • a.Clinical Research Center (CRC), Chongqing University Three Gorges Hospital, Chongqing 404000, China
  • b.Medical Pathology Center (MPC), Chongqing University Three Gorges Hospital, Chongqing 404000, China
  • c.Cancer Early Detection and Treatment Center (CEDTC), Chongqing University Three Gorges Hospital, Chongqing 404000, China
  • d.Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing 404000, China
  • e.Chongqing Municipality Clinical Research Center for Geriatric Diseases, Chongqing University Three Gorges Hospital, Chongqing 404000, China
Published: 2026-06-10 doi: 10.11876/mimt202603004
Outline
收藏切换

With the development of single-cell sequencing technology, life science research has gradually moved from population average measurement to cell resolution, which provides a new research method for understanding the heterogeneity and cell state changes within tissues. The continuous progress of this technology system is not only due to the improvement of sequencing chemistry, but also closely related to the continuous optimization of instrument platforms such as microfluidic droplets, molecular barcoding, long-read sequencing and spatially resolved detection. Different technical routes have differences in sequencing throughput, read length characteristics and noise structure, which largely affect the subsequent data processing methods and promote the continuous adjustment and development of bioinformatics analysis methods. Combined with the main engineering paths of the single-cell sequencing instrument platform, this paper combs the representative solutions such as physical sorting, microfluidic system, long-read sequencing and space technology. At the same time, we discuss the characteristics of data structure shaped by barcodes and unique molecular identifiers (UMI), the statistical modeling problem caused by high sparsity, and the requirements of computational framework for large-scale data analysis. In addition, the development trend of single-cell sequencing and bioinformatics platforms in automation, multimodal integration and computing power improvement are summarized, in order to provide reference for the optimization of related technical systems.

Single-cell sequencing  /  Microfluidics  /  Molecular barcoding  /  Long-read sequencing  /  Spatial transcriptomics  /  Bioinformatics
王亚男, 晏菲, 印明柱, 李鑫. 单细胞测序仪器平台与生物信息学分析体系的协同演进. 现代仪器与医疗, 2026 , 32 (3) : 25 -33 . DOI: 10.11876/mimt202603004
Yanan Wang, Fei Yan, Mingzhu Yin, Xin Li. Co-evolution of single-cell sequencing platforms and bioinformatics analytical frameworks[J]. Modern Instruments & Medical Treatment, 2026 , 32 (3) : 25 -33 . DOI: 10.11876/mimt202603004
Year 2026 volume 32 Issue 3
75
12
Cite this Article
BibTeX
Article Info
doi: 10.11876/mimt202603004
  • Receive Date:2026-02-27
  • Online Date:2026-10-23
  • Published:2026-06-10
Article Data
Affiliations
History
  • Received:2026-02-27
Funding
Affiliations
    a.Clinical Research Center (CRC), Chongqing University Three Gorges Hospital, Chongqing 404000, China
    b.Medical Pathology Center (MPC), Chongqing University Three Gorges Hospital, Chongqing 404000, China
    c.Cancer Early Detection and Treatment Center (CEDTC), Chongqing University Three Gorges Hospital, Chongqing 404000, China
    d.Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing 404000, China
    e.Chongqing Municipality Clinical Research Center for Geriatric Diseases, Chongqing University Three Gorges Hospital, Chongqing 404000, China
References
Share
https://castjournals.cast.org.cn/joweb/xdyqyyl/EN/10.11876/mimt202603004
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT