期刊论文详细信息
Clinical Proteomics
Mesoporous silica chip: enabled peptide profiling as an effective platform for controlling bio-sample quality and optimizing handling procedure
Tony Y. Hu3  Kai Liang1  Hongmei Wu2  Yan Li1 
[1] Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, ChinaLaboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, ChinaLaboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China;Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, ChinaGuangDong Bio-healtech Advanced Co., Ltd, Foshan City, ChinaLaboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, ChinaLaboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, ChinaGuangDong Bio-healtech Advanced Co., Ltd, Foshan City, ChinaGuangDong Bio-healtech Advanced Co., Ltd, Foshan City, ChinaLaboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, ChinaGuangDong Bio-healtech Advanced Co., Ltd, Foshan City, China;Department of Nanomedicine, The Methodist Hospital Research Institute, Houston, USADepartment of Cell and Developmental Biology, Weill Cornell Medical College of Cornell University, New York, USADepartment of Nanomedicine, The Methodist Hospital Research Institute, Houston, USADepartment of Nanomedicine, The Methodist Hospital Research Institute, Houston, USADepartment of Cell and Developmental Biology, Weill Cornell Medical College of Cornell University, New York, USADepartment of Cell and Developmental Biology, Weill Cornell Medical College of Cornell University, New York, USADepartment of Nanomedicine, The Methodist Hospital Research Institute, Houston, USADepartment of Cell and Developmental Biology, Weill Cornell Medical College of Cornell University, New York, USA
关键词: Silica mesoporous material;    MALDI MS;    LMW peptide;    Sample quality;    Pre-analysis handling;   
DOI  :  10.1186/s12014-016-9134-9
来源: Humana Press Inc
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【 摘 要 】

Abstract

Background

High quality clinical samples are critical for meaningful interpretation of data obtained in both basic and translational medicine. More specifically, optimized pre-analysis handling to bio-sample is crucial for avoiding biased analysis in a clinical setting. A universally applicable method for the evaluation of sample quality and pre-analysis handling is therefore in great demand.

Methods

The fingerprint pattern of low molecular weight (LMW) peptides in sera is directly associated with sample quality and handling process. Previous studies for enrichment/isolation of LMW peptides have shown that LMW peptides can be enriched by silica meso-porous material in a sensitive and high-throughput manner. Here, a peptide profile approach utilizing mesoporous silica chip-based sample preparation combined with MALDI MS analysis was used as a new platform for evaluation of bio-sample quality. Rat sera were selected as model sample and analyzed according to their LMW peptide fingerprint spectra.

Results

This novel method can complete the entire sample preparation procedure in a short period of time (<40 min), requires minimum amounts of sample (<10 µL), is of high sensitivity (LOD 10 ng/mL) as well as high reproducibility (CV% < 15%). According to the acquired LMW peptide spectra, we were able to distinguish the serum samples processed under different conditions (including different storage temperature, time, and freezing/thaw cycles) with the help of bioinformatics tools (principle composition analysis and significant difference analysis), and identify the samples that had significantly changed due to the inappropriate processing. Based on the percentage of significantly changed peaks in LMW peptide mass spectrum after handling, a judgment standard was established that can be used to evaluate the status of preservation of a biological sample. In addition, our principle study established recommendations for storage time, storage temperature and freeze/thaw conditions.

Conclusion

Our novel method for analysis of bio-samples allows for effective identification of variations in composition within samples, and provides a cost-effective tool for simple sample manipulation in a clinical setting.

【 授权许可】

Unknown   

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