新型亲和去垢小柱净化-液相色谱-串联质谱法分析水稻叶片蛋白质组

采用亲和去垢小柱净化,建立了水稻叶片蛋白质组的纳升液相色谱-串联质谱分析方法。水稻叶片蛋白质分别采用酚提取法结合十二烷基硫酸钠(sodium dodecyl sulfate,SDS)裂解,裂解液经亲和去垢小柱净化,酶解肽段用纳升液相色谱-线性离子阱/静电场轨道阱组合式高分辨质谱(nanoLC-LTQ/Orbitrap MS)分析,相关数据库检索鉴定。比较了超滤辅助样品制备法(FASP法)、亲和去垢小柱法和丙酮沉淀法对SDS去除效率及对蛋白质鉴定结果的影响。结果表明:3种方法均有较好的SDS去除效果(去除效率均大于95%);尽管3种方法鉴定的蛋白质种类具有一定的互补性,但以亲和去垢小柱法鉴定的蛋白质数目最多,为563种,远多于FASP法和丙酮沉淀法的196和306种;此外,亲和去垢小柱法适合于各种相对分子质量和不同pI值蛋白质的净化,而FASP法和丙酮沉淀法中不同相对分子质量和pI值蛋白质均有类似程度的损失。采用本文建立的方法,一次进样分析可鉴定出水稻叶片蛋白质多达588种;肽段匹配数≥2的296个蛋白质的生物学功能主要分为结合活性、酶活性、转移运输活性和结构组成等。该蛋白质分析方法可为开展水稻蛋白质组学研究提供技术参考。     

亲水作用-反相二维液相色谱串联质谱法鉴定水稻蛋白质

建立了亲水作用-反相二维液相色谱串联质谱分析水稻叶片蛋白质组学的方法。利用标准肽段系统分析了液相色谱流动相酸碱度对二维亲水作用-反相色谱系统正交性的影响。结果表明,第一维亲水作用色谱在碱性(pH 9.3)和第二维反相色谱在酸性(pH 3.3)的条件下,正交性最佳(R~2=0.34113)。在此基础上,结合馏分收集技术进一步评价了本测试系统在水稻叶片蛋白质分析中的正交性。结果表明,在所有馏分收集组分中,鉴定次数小于2次的水稻叶片肽段占总肽段数目的 50%以上,且一维液相色谱馏分收集的肽段在第二维色谱及质谱分离分析中,可以较好地分布在不同时间段的洗脱窗口,表明本研究建立的亲水作用-反相二维液相色谱串联质谱结合馏分收集技术在复杂水稻叶片蛋白质分离鉴定中可提供良好的的分离正交性。结合水稻蛋白质数据库检索,共鉴定出207345个肽段,归属于2930个蛋白质簇。     

基于蛋白顺序提取法分析斯达氏油脂酵母的蛋白质组

斯达氏油脂酵母能在细胞内合成大量的油脂,其细胞内的脂类物质影响着蛋白质提取和后续的蛋白质组学分析。常见的一步蛋白质提取法很难从含有大量油脂的斯达氏酵母细胞中提取蛋白质,因此其蛋白质组学分析的结果较差。本文发展了顺序提取法提取斯达氏酵母中的蛋白质,并采用在线多维微柱反相液相色谱-串联质谱联用技术分析其蛋白质组;共鉴定到227个高可信度的蛋白质,其数目是一步提取法的两倍;此外,所鉴定到的参与基础代谢的蛋白质数目比一步提取法也显著增加。此方法可以有效提取含大量油脂的物种中的蛋白质,为油脂积累的分子机制研究提供重要的信息     

基于在线二维色谱的不同生长时期鹿茸的比较蛋白质组分析

建立了基于在线二维弱阴离子交换色谱-反相液相色谱(2D-WAX-RPLC)的蛋白质分离系统,并用于不同生长时期鹿茸的比较蛋白质组分析。以5种标准蛋白质的混合物为样品,考察了系统的重现性。通过改变标准蛋白质之间的浓度比,研究了该系统进行蛋白质相对定量的能力。在此基础上,针对4个不同生长时期的鹿茸样品,分别采用5种不同的方法进行蛋白质提取,经2D-WAX-RPLC分离后,收集各生长时期对应蛋白质的峰高最大比超过2的组分。酶解后,采用微柱反相液相色谱-串联质谱(μRPLC-MS/MS)进行肽段的分离鉴定;共从9个差异蛋白质峰中鉴定到了22个差异蛋白质。研究结果表明,利用基于蛋白质水平的在线二维液相色谱分离技术找寻差异蛋白质,具有重现性好、自动化程度高等优点,可用于开展比较蛋白质组学的研究。     

反相高效液相色谱双梯度洗脱分离肽混合物及质谱分析

复杂肽段混合物的有效分离是高覆盖率地鉴定蛋白质混合物的前提。“鸟枪法”(Shotgun)蛋白质组学研究策略通常采用蛋白酶切、二维液相色谱-串联质谱分析肽段混合物从而鉴定蛋白质,其中高效率地分离肽段混合物是关键步骤之一。本文通过pH梯度结合有机溶剂梯度的反相高效液相色谱(RP-HPLC)进行一维液相色谱分离,按等时间间隔收集馏分并将一个梯度的前段的一个馏分与后段一个馏分混合,然后进行纳升级液相色谱-质谱联用(nanoRPLC-MS/MS)分析。将该方法应用于酵母蛋白质的分离和鉴定,实验结果为: 与常规的强阳离子色谱-反相液相色谱-质谱分离鉴定方法相比,采用pH梯度结合有机相梯度的RP-HPLC-RPLC-MS分离鉴定方法多鉴定到567个酵母蛋白质(簇,含有3035个唯一肽段);其中鉴定到肽段的pI分布范围为3.42～12.01,相对分子质量范围为587.67～3499.79;蛋白质的pI分布范围为3.82～12.19,相对分子质量范围为3446.55～432905。该结果表明这种方法在复杂体系蛋白质组分离鉴定中具有明显的优势,在蛋白质组学研究中有较好的应用前景。     

去除血浆中高丰度蛋白质的二维液相色谱体系的建立

血浆中高丰度蛋白质的存在严重干扰低丰度蛋白质的检测,是困扰血浆蛋白质组学研究的技术瓶颈之一。针对这一热点问题,建立了一种二维液相色谱(强阴离子交换色谱-反相高效液相色谱)分离系统,对血浆中的高丰度蛋白质进行了色谱定位并进行去除。选择TSKgel SuperQ-5PW为第一维色谱分离柱,第二维色谱分离采用Jupiter C4柱,对第一维的馏分进行进一步的分离。通过梯度优化,血浆样品经过二维系统得到充分分离。第二维分离过程中从紫外信号强度高(215 nm,大于20 mAU)的峰中选择10个峰,利用液相色谱-串联质谱鉴定出32种高丰度蛋白质,包括人血清白蛋白、免疫球蛋白G等高丰度蛋白质。该体系为血浆中更多高丰度蛋白质的去除以及血浆蛋白质组学的更深入研究提供了重要思路。     

全二维微柱液相色谱-质谱鉴定人胃癌组织中的差异蛋白质

构建了以阳离子交换色谱-反相色谱(SCX-RPLC)为分离模式的新型全二维微柱液相色谱-质谱分离平台.采用了醋酸铵缓冲液梯度洗脱,实现了第一维肽段的分步洗脱,洗脱的肽段经富集除盐后通过接口进入反相色谱微柱,通过线性梯度实现第二维进一步分离,最后进入质谱进行检测.采用此平台分析了人胃癌组织与正常组织提取蛋白质信息,其中正常胃组织鉴定蛋白质数为537个,而癌症组织鉴定蛋白质数目为506个.对胃癌和正常组织两种提取蛋白质酶解产物的蛋白质检索结果进行比较分析,将鉴定的蛋白质按照物理性质进行分布,找出正常组织与癌症组织间蛋白质差异,筛选出一种可能发生变异的癌症特有蛋白.     

一种液相色谱分离与质谱鉴定白血病K562细胞蛋白的方法

分别通过3种色谱模式:反相高效液相色谱(RPLC)、弱阴离子交换-反相高效液相色谱(WAX-RPLC)和排阻-反相高效液相色谱(SEC-RPLC)对K562细胞的蛋白质进行分离,收集的色谱馏分采用基质辅助电离解析时间飞行质谱(MALDI-TOF MS)进行鉴定后,比较所获得的蛋白质数据.结果显示:当选择SEC-RPLC模式构建K562细胞蛋白质图谱时,检测到的蛋白质数目最多,信息最为全面.此法的建立为白血病的临床研究提供了一种有效的手段.     

鼠肝蛋白质组的纳升级多维液相色谱分离

搭建了一个纳升级的二维液相色谱分离平台(nano-2D-LC),该平台可以自动完成进样、除盐、分离及鉴定。以离子交换色谱(SCX)为第一维,反相液相色谱(RPLC)为第二维,对鼠肝组织的蛋白质组进行了研究。SCX采用阶梯式洗脱,RPLC运用线性梯度洗脱,以200 nL/min的速度进行分离,峰容量可达620。     

蛋白质高效分离两维色谱柱的选择优化

为了构建高效的离子交换/反相二维液相色谱(IEC/RPLC)分离平台系统,提高复杂蛋白质样品的分离效率,对色谱柱进行了评价与筛选。通过对实际人肝蛋白质样品的分离效果的比较,选择确定了TSKgel DEAE-5PW弱阴离子交换色谱柱(WAX)作为第一维色谱分离柱;考察了同一规格的10支代表性反相色谱柱(250 mm×4.6 mm, 5 μm, 30 nm, C4、C8或C18),通过评价其对尿嘧啶、硝基苯、萘和芴的分离性能以及对3种标准蛋白质样品的非特异性吸附、对人肝蛋白质样品的WAX馏分的分离效果,最终确定以Jupiter 300 C4反相色谱柱作为第二维色谱分离柱。对两维色谱柱的选择优化为蛋白质高效分离二维液相色谱平台的搭建提供了可靠基础。     

Evaluation of sample extraction methods for proteomics analysis of green algae Chlorella vulgaris

Many protein extraction methods have been developed for plant proteome analysis but information is limited on the optimal protein extraction method from algae species. This study evaluated four protein extraction methods, i.e. direct lysis buffer method, TCA‐acetone method, phenol method, and phenol/TCA‐acetone method, using green algae Chlorella vulgaris for proteome analysis. The data presented showed that phenol/TCA‐acetone method was superior to the other three tested methods with regards to shotgun proteomics. Proteins identified using shotgun proteomics were validated using sequential window acquisition of all theoretical fragment‐ion spectra (SWATH) technique. Additionally, SWATH provides protein quantitation information from different methods and protein abundance using different protein extraction methods was evaluated. These results highlight the importance of green algae protein extraction method for subsequent MS analysis and identification.     

Sugarcane proteomics: Establishment of a protein extraction method for 2‐DE in stalk tissues and initiation of sugarcane proteome reference map

Sugarcane is an important commercial crop cultivated for its stalks and sugar is a prized commodity essential in human nutrition. Proteomics of sugarcane is in its infancy, especially when dealing with the stalk tissues, where there is no study to date. A systematic proteome analysis of stalk tissue yet remains to be investigated in sugarcane, wherein the stalk tissue is well known for its rigidity, fibrous nature, and the presence of oxidative enzymes, phenolic compounds and extreme levels of carbohydrates, thus making the protein extraction complicated. Here, we evaluated five different protein extraction methods in sugarcane stalk tissues. These methods are as follows: direct extraction using lysis buffer (LB), TCA/acetone precipitation followed by solubilization in LB, LB containing thiourea (LBT), and LBT containing tris, and phenol extraction. Both quantitative and qualitative protein analyses were performed for each method. 2‐DE analysis of extracted total proteins revealed distinct differences in protein patterns among the methods, which might be due to their physicochemical limitations. Based on the 2‐D gel protein profiles, TCA/acetone precipitation‐LBT and phenol extraction methods showed good results. The phenol method showed a shift in pI values of proteins on 2‐D gel, which was mostly overcome by the use of 2‐D cleanup kit after protein extraction. Among all the methods tested, 2‐D cleanup‐phenol method was found to be the most suitable for producing high number of good‐quality spots and reproducibility. In total, 30 and 12 protein spots commonly present in LB, LBT and phenol methods, and LBT method were selected and subjected to eLD‐IT‐TOF‐MS/MS and nESI‐LC‐MS/MS analyses, respectively, and a reference map has been established for sugarcane stalk tissue proteome. A total of 36 nonredundant proteins were identified. This is a very first basic study on sugarcane stalk proteome analysis and will promote the unexplored areas of sugarcane proteome research.     

Protein extraction from Phoenix dactylifera L. leaves, a recalcitrant material, for two-dimensional electrophoresis

This work was aimed at optimizing a protein extraction procedure for date palm (Phoenix dactylifera L.) leaves, a highly recalcitrant plant tissue for 2-DE. Five protein extraction protocols based on different protein precipitation agents (TCA/acetone vs. phenol (Ph) methods) and protein resolubilization methods (physical treatments, e.g., sonication, shaking and/or heating) were tested. Ph/SDS extraction with methanol/ammonium acetate precipitation, followed by DOC preincubation and TCA/acetone precipitation and, finally, solubilization by shaking in rehydration solution was found to be the best protein extraction method. We conclude that DOC with TCA/acetone precipitation step eliminates interfering compounds, thus allowing efficient resolubilization of date palm leaf proteins. This method could be appropriate for proteomic studies such as date palm colonization by entomopathogenic fungi.     

Evaluation of extraction procedures for 2‐DE analysis of aphid proteins

Protein sample preparation is a crucial step in a 2‐DE proteomics approach. In order to establish a routine protocol for the application of proteomics analysis to aphids, this study focuses on the specific protein extraction problems in insect tissues and evaluates four methods to bypass them. The approaches of phenol extraction methanol/ammonium acetate precipitation (PA), TCA/acetone precipitation, PEG precipitation, and no precipitation were evaluated for proteins isolation and purification from apterous adult aphids, Sitobion avenae. For 2‐DE, the PA protocol was optimal, resulting in good IEF and clear spots. PA method yielded the greatest amount of protein and displayed most protein spots in 2‐DE gels, as compared with the TCA/acetone precipitation, PEG precipitation and no precipitation protocols. Analysis of protein yield, image quality and spot numbers demonstrate that the TCA/acetone precipitation protocol is a reproducible and reliable method for extracting proteins from aphids. The PEG precipitation approach is a newly developed protein extraction protocol for aphids, from which more unique protein spots can be detected, especially for detection of acid proteins. These protocols are expected to be applicable to other insects or could be of interest to laboratories involved in insect proteomics, despite the amounts and types of interfering compounds vary considerably in different insects.     

Proteomic platform for the identification of proteins in olive (Olea europaea) pulp

The nutritional and cancer-protective properties of the oil extracted mechanically from the ripe fruits of Olea europaea trees are attracting constantly more attention worldwide. The preparation of high-quality protein samples from plant tissues for proteomic analysis poses many challenging problems. In this study we employed a proteomic platform based on two different extraction methods, SDS and CHAPS based protocols, followed by two precipitation protocols, TCA/acetone and MeOH precipitation, in order to increase the final number of identified proteins.     

Optimization of protein extraction and solubilization for mature grape berry clusters

Protein extraction from grape berries has been challenging, particularly in mature berries, which can have sugar concentrations as high as 26%. Grape skins and seeds contain large amounts of polyphenols, which can also interfere with efficient protein extraction. In plants, two extraction protocols, TCA/acetone-based and phenol-based methods, have been mainly used to extract proteins from different organs or tissues on many species. However, few results have been reported for grape berry clusters. We wanted to determine which of these protocols was optimal for berry clusters in order to achieve both efficient protein extraction and high spot resolution on 2-D gels. Four protocols, derived from either TCA/acetone or phenol procedures, were tested on mature Cabernet Sauvignon whole berry clusters. The phenol-based protocols were superior to the TCA/acetone methods, showing larger protein yields and greater spot resolution on 2-D gels. One method was clearly superior to the rest, a phenol-based extraction method combined with resuspension in the presence of both urea and thiourea as chaotropes. A total of 81 spots were excised and identified following MALDI-TOF/TOF MS analyses. Their identification helped further characterize the specificity of each extraction procedure.     

Effective protein extraction protocol for proteomics studies of Jerusalem artichoke leaves

Protein extraction is a crucial step for proteomics studies. To establish an effective protein extraction protocol suitable for two‐dimensional electrophoresis (2DE) analysis in Jerusalem artichoke (Helianthus tuberosus L.), three different protein extraction methods—trichloroacetic acid/acetone, Mg/NP‐40, and phenol/ammonium acetate—were evaluated using Jerusalem artichoke leaves as source materials. Of the three methods, trichloroacetic acid/acetone yielded the best protein separation pattern and highest number of protein spots in 2DE analysis. Proteins highly abundant in leaves, such as Rubisco, are typically problematic during leaf 2DE analysis, however, and this disadvantage was evident using trichloroacetic acid/acetone. To reduce the influence of abundant proteins on the detection of low‐abundance proteins, we optimized the trichloroacetic acid/acetone method by incorporating a PEG fractionation approach. After optimization, 363 additional (36.2%) protein spots were detected on the 2DE gel. Our results suggest that trichloroacetic acid/acetone method is a better protein extraction technique than Mg/NP‐40 and phenol/ammonium acetate in Jerusalem artichoke leaf 2DE analysis, and that trichloroacetic acid/acetone method combined with PEG fractionation procedure is the most effective approach for leaf 2DE analysis of Jerusalem artichoke.     

A systematic evaluation of protocols for a proteomics analysis of (lyophilized) fruit tissues

This study represents a systematic evaluation of protocols for protein extraction and cleanup for fruit proteomic analysis. Procedures were optimized using pooled lyophilized banana fruit pulp, which is known to be particularly tricky due to high concentrations of soluble polysaccharides, phenolics, and other substances that interfere with protein extraction and purification. A total of 18 combinations of three protein extraction procedures (SDS‐based, Triton X‐100‐based, and phenol‐based), three protein precipitating agents (ammonium acetate/methanol, TCA/acetone, and acetone), and two resolubilization buffers (classical Rabilloud and the so‐called R2D2) were compared for total protein yields and efficiency of recovery. The results demonstrate that while losses in total recovered protein are unavoidable, the degree of these losses depends on the method combinations used. Combinations based on buffer‐saturated phenol always gave the highest yields, and overall recovery and purity was highest when acetone was combined with the R2D2 buffer for protein purification and concentration. Comparative 2D‐PAGE analysis confirmed that this method combination produced high‐quality and reproducible gels and the largest numbers of spots per gel. The usefulness of this methodology was demonstrated on ripe fruits from several other species and shown to give excellent results.     

超高效液相色谱-线性离子阱/静电场轨道阱高分辨质谱法测定纺织品中的游离态致癌芳香胺

建立了超高效液相色谱-线性离子阱/静电场轨道阱高分辨质谱(UPLC-LTQ/Orbitrap MS)同时测定纺织品中24种游离态致癌芳香胺的方法。样品经二氯甲烷超声提取并稀释后,用ZORBAX SB-C₁₈色谱柱(150 mm×2.1 mm, 5 μm)分离,以0.1%甲酸水溶液和甲醇为流动相,电喷雾正离子(ESI⁺)模式电离,以准分子离子峰的精确质量数和保留时间定性,以提取的色谱图峰面积定量。在0.5~500 μg/L范围内,24种芳香胺的线性相关系数(R²) 大于0.99,样品加标回收率为87.8%~105.6%,相对标准偏差为1.6%~3.4%。方法检出限为0.5~1 μg/kg。应用本方法检测山东地区进出口含氨纶纺织品样品14个,在5个样品中检出游离态芳香胺4,4'-二氨基二苯甲烷,含量范围为0.21~25.6 mg/kg。