外周血单核细胞蛋白组测序定量数据

这些寡核苷酸序列作为单细胞转录组和蛋白组测序文库的分析数据，用于鉴别不同PBMC细胞表面蛋白以及膜表面蛋白定量的测定，帮助我们了解生物过程中蛋白质的变化和调控机制。蛋白定量，在疾病研究领域可用于检测和监测疾病标志物的变化，帮助早期发现疾病、确定疾病类型和评估治疗效果，也可以为药物研发和治疗策略的优化提供重要依据，进而为个体化医学提供精准的诊断和治疗方案。1.数据采集：单细胞蛋白组学建库会捕获大量的细胞，将细胞悬液和建库试剂加入微流控芯片，进行上机，将单个细胞带有的条形码和引物的凝胶珠包裹到微液滴中，完成单个细胞mRNA捕获以及抗体上所携带的抗体寡核苷酸序列的捕获。

2.数据检测：通过PCR扩增，加上测序接头，对由mRNA反转录而形成的cDNA文库与“表面蛋白”文库进行构建，采用测序仪进行便合成边测序获取FASTQ数据。

3.数据处理：对测序数据的基因序列与抗体标签序列进行比对，通过hamming distance容错校正，错配碱基数设置为1bp，15个碱基上最多容许1个碱基的错误，校正后，得到每个细胞内PBMC细胞相关marker基因（例如IL7R，CCR7，CD14等数据列）和膜表面蛋白（例如adt-CD11c， adt-CD137等以"adt-"为前缀的数据列）的表达量。

These oligonucleotide sequences serve as analytical data for single-cell transcriptome and proteome sequencing libraries, utilized to identify distinct cell surface proteins of PBMCs and conduct quantitative determination of membrane surface proteins, thereby helping to elucidate protein alterations and regulatory mechanisms during biological processes.

Protein quantification, within the realm of disease research, enables detection and monitoring of changes in disease biomarkers, facilitating early disease diagnosis, identification of disease subtypes, and evaluation of therapeutic efficacy. It also provides crucial foundations for drug development and optimization of therapeutic strategies, thus enabling the delivery of precise diagnostic and treatment regimens for precision medicine.

1. Data Collection: Single-cell proteome library construction captures a large quantity of cells. Cell suspensions and library preparation reagents are loaded onto a microfluidic chip, and the chip is run on the sequencing platform. Gel beads carrying barcodes and primers are encapsulated into microdroplets together with individual cells, completing the capture of mRNA from single cells and the capture of antibody-conjugated oligonucleotide sequences.

2. Data Detection: Via PCR amplification and addition of sequencing adapters, the cDNA library generated through reverse transcription of mRNA and the "surface protein" library are constructed. A sequencer is employed to perform sequencing-by-synthesis to acquire FASTQ data.

3. Data Processing: The gene sequences and antibody tag sequences in the sequencing data are aligned, with error correction conducted via Hamming distance. The number of allowed mismatched bases is set to 1 bp, permitting at most 1 base error per 15-base segment. Following correction, the expression levels of PBMC-related marker genes (e.g., data columns such as IL7R, CCR7, CD14) and membrane surface proteins (e.g., data columns prefixed with "adt-" such as adt-CD11c, adt-CD137) in each cell are obtained.

搜集汇总

数据集介绍

特点

该数据集包含5917条外周血单核细胞（PBMC）的蛋白组测序定量数据，涵盖多种蛋白质标记物的表达量信息，适用于疾病标志物检测、药物研发和个体化医学研究。