Integrative Proteomic Characterization of Human Lung Adenocarcinoma.

Genomic studies of lung adenocarcinoma (LUAD) have advanced our understanding of the disease's biology and accelerated targeted therapy. However, the proteomic characteristics of LUAD remain poorly understood. We carried out a comprehensive proteomics analysis of 103 cases of LUAD in Chinese patients. Integrative analysis of proteome, phosphoproteome, transcriptome, and whole-exome sequencing data revealed cancer-associated characteristics, such as tumor-associated protein variants, distinct proteomics features, and clinical outcomes in patients at an early stage or with EGFR and TP53 mutations. Proteome-based stratification of LUAD revealed three subtypes (S-I, S-II, and S-III) related to different clinical and molecular features. Further, we nominated potential drug targets and validated the plasma protein level of HSP 90ß as a potential prognostic biomarker for LUAD in an independent cohort. Our integrative proteomics analysis enables a more comprehensive understanding of the molecular landscape of LUAD and offers an opportunity for more precise diagnosis and treatment.

Characterization of diverse lysine acylations in Bacillus thuringiensis: Substrate profiling and functional exploration.

Lysine acylation has been extensively investigated due to its regulatory role in a diverse range of biological functions across prokaryotic and eukaryotic species. In-depth acylomic profiles have the potential to enhance comprehension of the biological implications of organisms. However, the extent of research on global acylation profiles in microorganisms is limited. Here, four lysine acylomes were conducted in Bacillus thuringiensis by using the LC-MS/MS based proteomics combined with antibody-enrichment strategies, and a total of 3438 acetylated sites, 5797 propionylated sites, 1705 succinylated sites, and 925 malonylated sites were identified. The motif analysis of these modified proteins revealed a high conservation of glutamate in acetylation and propionylation, whereas such conservation was not observed in succinylation and malonylation modifications. Besides, conservation analysis showed that homologous acylated proteins in Bacillus subtilis and Escherichia coli were connected with ribosome and aminoacyl-tRNA biosynthesis. Further biological experiments showed that lysine acylation lowered the RNA binding ability of CodY and impaired the in vivo protein activity of MetK. In conclusion, our study expanded the current understanding of the global acylation in Bacillus, and the comparative analysis demonstrated that shared acylation proteins could play important roles in regulating both metabolism and RNA transcription progression.

Prognostic biomarker discovery based on proteome landscape of Chinese lung adenocarcinoma.

Despite recent innovations in imaging and genomic screening promotes advance in diagnosis and treatment of lung adenocarcinoma (LUAD), there remains high mortality of LUAD and insufficient understanding of LUAD biology. Our previous study performed an integrative multi-omic analysis of LUAD, filling the gap between genomic alterations and their biological proteome effects. However, more detailed molecular characterization and biomarker resources at proteome level still need to be uncovered. In this study, a quantitative proteomic experiment of patient-derived benign lung disease samples was carried out. After that, we integrated the proteomic data with previous dataset of 103 paired LUAD samples. We depicted the proteomic differences between non-cancerous and tumor samples and among diverse pathological subtypes. We also found that up-regulated mitophagy was a significant characteristic of early-stage LUAD. Additionally, our integrative analysis filtered out 75 potential prognostic biomarkers and validated two of them in an independent LUAD serum cohort. This study provided insights for improved understanding proteome abnormalities of LUAD and the novel prognostic biomarker discovery offered an opportunity for LUAD precise management.

Proteomics analysis of histone deacetylase inhibitor-resistant solid tumors reveals resistant signatures and potential drug combinations.

Histone deacetylase inhibitors (HDACis) are important drugs for cancer therapy, but the indistinct resistant mechanisms of solid tumor therapy greatly limit their clinical application. In this study we conducted HDACi-perturbated proteomics and phosphoproteomics analyses in HDACi-sensitive and -resistant cell lines using a tandem mass tag (TMT)-based quantitative proteomic strategy. We found that the ribosome biogenesis proteins MRTO4, PES1, WDR74 and NOP16 vital to tumorigenesis might regulate the tumor sensitivity to HDACi. By integrating HDACi-perturbated protein signature with previously reported proteomics and drug sensitivity data, we predicted and validated a series of drug combination pairs potentially to enhance the sensitivity of HDACi in diverse solid tumor. Functional phosphoproteomic analysis further identified the kinase PDK1 and ROCK as potential HDACi-resistant signatures. Overall, this study reveals the potential HDACi-resistant signatures and may provide promising drug combination strategies to attenuate the resistance of solid tumor to HDACi.

An Integrative Proteome-Based Pharmacologic Characterization and Therapeutic Strategy Exploration of SAHA in Solid Malignancies.

Targeting histone epigenetic modification is an important strategy for anticancer therapy. Histone deacetylase inhibitors (HDACis) have been clinically approved in the treatment of diverse hematological cancers, but mechanisms of drug resistance and poor therapeutic efficacy in solid malignancies remain largely unknown. In this study, we applied a mass spectrometry-based quantitative proteomic strategy to investigate the molecular differences in HDACi vorinostat (SAHA) sensitive and resistant cell lines. The proteomic results revealed that the glycolysis pathway was highly enriched after vorinostat treatment in the resistant cell line, leading to the prediction of a new drug combination, SAHA and hexokinase inhibitor (2-deoxyglucose). The efficacy of this combination was further verified in several solid tumor cell lines. Quantitative proteomics revealed that alterations in the transcription process and protein homeostasis could play roles in the synergetic utilization of these two compounds. Our study showed the application of proteomics in elucidating the drug mechanism and predicting drug combination and the potential of expanding the utilization of HDACi.

Protein Acetylation and Butyrylation Regulate the Phenotype and Metabolic Shifts of the Endospore-forming Clostridium acetobutylicum.

Clostridium acetobutylicum is a strict anaerobic, endospore-forming bacterium, which is used for the production of the high energy biofuel butanol in metabolic engineering. The life cycle of C. acetobutylicum can be divided into two phases, with acetic and butyric acids being produced in the exponential phase (acidogenesis) and butanol formed in the stationary phase (solventogenesis). During the transitional phase from acidogenesis to solventogenesis and latter stationary phase, concentration peaks of the metabolic intermediates butyryl phosphate and acetyl phosphate are observed. As an acyl group donor, acyl-phosphate chemically acylates protein substrates. However, the regulatory mechanism of lysine acetylation and butyrylation involved in the phenotype and solventogenesis of C. acetobutylicum remains unknown. In our study, we conducted quantitative analysis of protein acetylome and butyrylome to explore the dynamic change of lysine acetylation and butyrylation in the exponential phase, transitional phase, and stationary phase of C. acetobutylicum Total 458 lysine acetylation sites and 1078 lysine butyrylation sites were identified in 254 and 373 substrates, respectively. Bioinformatics analysis uncovered the similarities and differences between the two acylation modifications in C. acetobutylicum Mutation analysis of butyrate kinase and the central transcriptional factor Spo0A was performed to characterize the unique role of lysine butyrylation in the metabolic pathway and sporulation process of C. acetobutylicum Moreover, quantitative proteomic assays were performed to reveal the relationship between protein features (e.g. gene expression level and lysine acylation level) and metabolites in the three growth stages. This study expanded our knowledge of lysine acetylation and butyrylation in Clostridia and constituted a resource for functional studies on lysine acylation in bacteria.

LysargiNase and Chemical Derivatization Based Strategy for Facilitating In-Depth Profiling of C-Terminome.

Global identification of protein C-termini is highly challenging due to their low abundance in conventional shotgun proteomics. Several enrichment strategies have been developed to facilitate the detection of C-terminal peptides. One major issue of previous approaches is the limited C-terminome coverage. Herein, we integrated LysargiNase digestion, chemical acetylation on neo-N-terminus, and a-ion-aided peptide matching into poly(allylamine)-based C-terminomics (termed as LAACTer). In this strategy, we leveraged LysargiNase, a protease with cleavage specificity N-terminal to Lys and Arg residues, to cover previously unidentifiable C-terminome and employed chemical acetylation and a-ion-aided peptide matching to efficiently boost peptide identifications. Triplicates of LAACTer identified a total of 834 C-termini from proteome of 293T cell, which expanded the coverage by 164% (643 more unique C-termini) compared with the parallel experiments using the original workflow. Compared with the largest human C-terminome data sets (containing 800-900 C-termini), LAACTer not only achieved comparable profiling depth but also yielded 465 previously unidentified C-termini. In a SILAC (stable isotope labeling with amino acids in cell culture)-based quantitative study for identification of GluC-cleaved products, LAACTer quantified 300% more C-terminal peptides than the original workflow. Using LAACTer and the original workflow, we performed global analysis for the C-terminal sequences of 293T cell. The original and processed C-termini displayed distinct sequence patterns, implying the "C-end rules" that regulates protein stability could be more complex than just amino acid motifs. In conclusion, we reason LAACTer could be a powerful proteomic tool for in-depth C-terminomics and would benefit better functional understanding of protein C-termini.

Systematic Proteomic Analysis of Protein Methylation in Prokaryotes and Eukaryotes Revealed Distinct Substrate Specificity.

The studies of protein methylation mainly focus on lysine and arginine residues due to their diverse roles in essential cellular processes from gene expression to signal transduction. Nevertheless, atypical protein methylation occurring on amino acid residues, such as glutamine and glutamic acid, is largely neglected until recently. In addition, the systematic analysis for the distribution of methylation on different amino acids in various species is still lacking, which hinders our understanding of its functional roles. In this study, we deeply explored the methylated sites in three species Escherichia coli, Saccharomyces cerevisiae, and HeLa cells by employing MS-based proteomic approach coupled with heavy methyl SILAC method. We identify a total of 234 methylated sites on 187 proteins with high localization confidence, including 94 unreported methylated sites on nine different amino acid residues. KEGG and gene ontology analysis show the pathways enriched with methylated proteins are mainly involved in central metabolism for E. coli and S. cerevisiae, but related to spliceosome for HeLa cells. The analysis of methylation preference on different amino acids is conducted in three species. Protein N-terminal methylation is dominant in E. coli while methylated lysines and arginines are widely identified in S. cerevisiae and HeLa cells, respectively. To study whether some atypical protein methylation has biological relevance in the pathological process in mammalian cells, we focus on histone methylation in diet-induced obese (DIO) mouse. Two glutamate methylation sites showed statistical significance in DIO mice compared with chow-fed mice, suggesting their potential roles in diabetes and obesity. Together, these findings expanded the methylome database from microbes to mammals, which will benefit our further appreciation for the protein methylation as well as its possible functions on disease.

Lysine Malonylome May Affect the Central Metabolism and Erythromycin Biosynthesis Pathway in Saccharopolyspora erythraea.

Lysine acylation is a dynamic, reversible post-translational modification that can regulate cellular and organismal metabolism in bacteria. Acetylome has been studied well in bacteria. However, to our knowledge, there are no proteomic data on the lysine malonylation in prokaryotes, especially in actinomycetes, which are the major producers of therapeutic antibiotics. In our study, the first malonylome of the erythromycin-producing Saccharopolyspora erythraea was described by using a high-resolution mass spectrometry-based proteomics approach and high-affinity antimalonyllysine antibodies. We identified 192 malonylated sites on 132 substrates. Malonylated proteins are enriched in many biological processes such as protein synthesis, glycolysis and gluconeogenesis, the TCA cycle, and the feeder metabolic pathways of erythromycin synthesis according to GO analysis and KEGG pathway analysis. A total of 238 S/T/Y/H-phosphorylated sites on 158 proteins were also identified in our study, which aimed to explore the potential cross-talk between acylation and phosphorylation. After that, site-specific mutations showed that malonylation is a negative regulatory modification on the enzymatic activity of the acetyl-CoA synthetase (Acs) and glutamine synthetase (Gs). Furthermore, we compared the malonylation levels of the two-growth state to explore the potential effect of malonylation on the erythromycin biosynthesis. These findings expand our current knowledge of the actinomycetes malonylome and supplement the acylproteome databases of the whole bacteria.

Allosteric regulation of a protein acetyltransferase in Micromonospora aurantiaca by the amino acids cysteine and arginine.

ACT domains (amino acid-binding domains) are linked to a wide range of metabolic enzymes that are regulated by amino acid concentration. Seventy proteins with ACT-GCN5-related N-acetyltransferase (GNAT) domain organization were found in actinomycetales. In this study, we investigate the ACT-containing GNAT acetyltransferase, Micau_1670 (MaKat), from Micromonospora aurantiaca ATCC 27029. Arginine and cysteine were identified as ligands by monitoring the conformational changes that occur upon amino acids binding to the ACT domain in the MaKat protein using FRET assay. It was found that MaKat is an amino acid-regulated protein acetyltransferase, whereas arginine and cysteine stimulated the activity of MaKat with regard to acetylation of acetyl-CoA synthetase (Micau_0428). Our research reveals the biochemical characterization of a protein acetyltransferase that contains a fusion of a GNAT domain with an ACT domain and provides a novel signaling pathway for regulating cellular protein acetylation. These findings indicate that acetylation of proteins and acetyltransferase activity may be tightly linked to cellular concentrations of some amino acids in actinomycetales.

18F-FDG PET/CT of Intracholecystic Papillary Neoplasm in Cystic Neck and Duct.

ABSTRACT: We report 18F-FDG PET/CT appearances of intracholecystic papillary neoplasm (ICPN) in the gallbladder neck and duct of a 74-year-old woman with a history of hepatitis B cirrhosis. The lesion presented with a large and sessile soft mass in the neck and duct of gallbladder with obvious glucose metabolism on PET/CT images, which was confirmed pathologically as ICPN (gastric foveolar type) with high-grade intraepithelial neoplasia. ICPN localized in the gallbladder neck and duct is extremely rare, and is easily misdiagnosed as gallbladder carcinoma. Our report aids in the application of PET/CT in the differential diagnosis of ICPN and guiding early surgery.

A proteomic landscape of pharmacologic perturbations for functional relevance.

Pharmacological perturbation studies based on protein-level signatures are fundamental for drug discovery. In the present study, we used a mass spectrometry (MS)-based proteomic platform to profile the whole proteome of the breast cancer MCF7 cell line under stress induced by 78 bioactive compounds. The integrated analysis of perturbed signal abundance revealed the connectivity between phenotypic behaviors and molecular features in cancer cells. Our data showed functional relevance in exploring the novel pharmacological activity of phenolic xanthohumol, as well as the noncanonical targets of clinically approved tamoxifen, lovastatin, and their derivatives. Furthermore, the rational design of synergistic inhibition using a combination of histone methyltransferase and topoisomerase was identified based on their complementary drug fingerprints. This study provides rich resources for the proteomic landscape of drug responses for precision therapeutic medicine.

Substrate and functional characterization of the lysine acetyltransferase MsKat and deacetylase MsCobB in Mycobacterium smegmatis.

Tuberculosis (TB) is a serious cause of infectious death worldwide. Recent studies have reported that about 30% of the Mtb proteome was modified post-translationally, indicating that their functions are essential for drug resistance, mycobacterial survival, and pathogenicity. Among them, lysine acetylation, reversibly regulated by acetyltransferase and deacetylase, has important roles involved in energy metabolism, cellular adaptation, and protein interactions. However, the substrate and biological functions of these two important regulatory enzymes remain unclear. Herein, we utilized the non-pathogenic M. smegmatis strain as a model and systematically investigated the dynamic proteome changes in response to the overexpressing of MsKat/MsCobB in mycobacteria. A total of 4179 proteins and 1236 acetylated sites were identified in our data. Further analysis of the dynamic changes involved in proteome and acetylome showed that MsKat/MsCobB played a regulatory role in various metabolic pathways and nucleic acid processes. After that, the quantitative mass spectrometric method was utilized and proved that the AMP-dependent synthetase, Citrate synthase, ATP-dependent specificity component of the Clp protease, and ATP-dependent DNA/RNA helicases were identified to be the substrates of MsKat. Overall, our study provided an important resource underlying the substrates and functions of the acetylation regulatory enzymes in mycobacteria. SIGNIFICANCE: In this study, we systematically analyzed the dynamic molecular changes in response to the MsKat/MsCobB overexpression in mycobacteria at proteome and lysine acetylation level by using a TMT-based quantitative proteomic approach. Pathways related with glycolysis, degradation of branched chain amino acids, phosphotransferase system were affected after disturbance of the two regulates enzymes involved in lysine acetylation. We also proved that AMP-dependent synthetase Clp protease, ATP-dependent DNA/RNA helicases and citrate synthase was the substrate of MsKat according to our proteomic data and biological validation. Together, our study underlined the substrates and functions of the acetylation regulatory enzymes in mycobacteria.

Population pharmacokinetic study of cyclosporine in the hematopoietic stem cell transplant recipients.

OBJECTIVES: The aim of this study is to investigate the population pharmacokinetics (PopPK) of cyclosporine (CsA) in the Chinese hematopoietic stem cell transplantation (HSCT) recipients for promoting the individualization of CsA administration. METHODS: A total of 887 retrospective drug monitoring data points were collected from 58 HSCT recipients. Whole blood samples were collected at predose (C0) and 2 hours (C2) post dose. The administration of CsA was intermittent intravenous infusion, continuous intravenous infusion and oral. Population modeling was performed using the NONMEM (nonlinear mixedeffect modeling) program. A one compartment pharmacokinetic model was used to fit the data. RESULTS: Body surface area (BSA), administration route and postoperative days were identified as significant covariates for clearance (CL) according to the final model: CL = 31.0 × (BSA/1.59)0.761 × (ROUT) × (POD), where ROUT was 1.91 if the administration route was intravenous infusion, otherwise it is equal to 1. The POD was 0.818, 0.753, 0.539, and 0.509 for posttransplant Days 0 - 10, 11 - 20, 21 - 30 and more than 30 days, respectively. Administration route was a significant covariate for volume (V) according to the final model: V = 192 × (ROUT), where ROUT was 4.10, 3.63 and 1 when the administration route was continuous intravenous infusion, intermittent intravenous infusion and oral. The other covariates were not identified as a significant effect on CsA pharmacokinetic parameters. CONCLUSION: Body surface area, administration route and postoperative days should be considered in individual pharmacotherapy of cyclosporine for HSCT patient to achieve the desired therapeutic target.

Microorganism-regulated autophagy in gastrointestinal cancer.

Gastrointestinal cancer has always been one of the most urgent problems to be solved, and it has become a major global health issue. Microorganisms in the gastrointestinal tract regulate normal physiological and pathological processes. Accumulating evidence reveals the role of the imbalance in the microbial community during tumorigenesis. Autophagy is an important intracellular homeostatic process, where defective proteins and organelles are degraded and recycled under stress. Autophagy plays a dual role in tumors as both tumor suppressor and tumor promoter. Many studies have shown that autophagy plays an important role in response to microbial infection. Here, we provide an overview on the regulation of the autophagy signaling pathway by microorganisms in gastrointestinal cancer.

Global landscape of lysine acylomes in Bacillus subtilis.

Lysine acetylation is a common posttranslational modification that regulates numerous biochemical functions in both eukaryotic and prokaryotic species. In addition, several new non-acetyl acylations are structurally different from lysine acetylation and participate in diverse physiological functions. Here, a comprehensive analysis of several lysine acylomes was performed by combining the high-affinity antibody enrichment with high-resolution LC-MS/MS. In total, we identified 2536 lysine acetylated sites, 4723 propionylated sites, 2150 succinylated sites and 3001 malonylated sites in Bacillus subtilis, respectively. These acylated proteins account for 35.8% of total protein in this bacterium. The four lysine acylomes showed a motif preference for glutamate surrounding the modified lysine residues, and a functional preference for several metabolic pathways, such as carbon metabolism, fatty acid metabolism, and ribosome. In addition, more protein-protein interaction clusters were identified in the propionylated substrates than other three lysine acylomes. In summary, our study presents a global landscape of acylation in the Gram-positive model organism Bacillus and their potential functions in metabolism and physiology.

A review on the current neuroligin mouse models.

Neuroligins (NLs) are postsynaptic membrane proteins expressed in the brain and mediate synaptogenesis. Neuroligin family proteins can specifically induce either excitatory or inhibitory synapses. Deletions or point mutations in neuroligin genes are found in patients with autism spectrum disorders (ASD) or mental retardations. The dysfunctions of these mutations have been tested in multiple neuroligin mouse models. In most of the models, including the human autism-linked NL3 and NL4 mutation mice, there are social interaction defects, memory impairment and repetitive behaviors. Researchers also found the excitatory/inhibitory synapse ratio altered in those mice, as well as receptor subunit composition. However, inconsistencies and debates also exist between different research approaches. In this review, we summarize the neuroligin mouse models currently available, examine the detailed alterations detected in those mice and compare the differences within different mouse models or different investigation methods, to obtain an overall picture of the current progress on neuroligin mouse models.

Aberrant ROS Mediate Cell Cycle and Motility in Colorectal Cancer Cells Through an Oncogenic CXCL14 Signaling Pathway.

Background: Reactive oxygen species (ROS) act as signal mediators to induce tumorigenesis. Objective: This study aims to explore whether chemokine CXCL14 is involved in the proliferation and migration of ROS-induced colorectal cancer (CRC) cells. Methods: The proliferative and migratory capacities of CRC cells treated with or without H2O2 were measured by various methods, including the CKK-8 assay, colony formation assay, flow cytometry, wounding healing assay, and migration assay. Results: The results revealed that H2O2 promoted the proliferation and migration of CRC cells by regulating the cell cycle progression and the epithelial to mesenchymal transition (EMT) process. Furthermore, we noted that the expression level of CXCL14 was elevated in both HCT116 cells and SW620 cells treated with H2O2. An antioxidant N-Acetyl-l-cysteine (NAC) pretreatment could partially suppress the CXCL14 expression in CRC cells treated with H2O2. Next, we constructed CRC cell lines stably expressing CXCL14 (HCT116/CXCL14 and SW620/CXCL14) and CRC cell lines with empty plasmid vectors (HCT116/Control and SW620/Control) separately. We noted that both H2O2 treatment and CXCL14 over-expression could up-regulate the expression levels of cell cycle-related and EMT-related proteins. Moreover, the level of phosphorylated ERK (p-ERK) was markedly higher in HCT116/CXCL14 cells when compared with that in HCT116/Control cells. CXCL14-deficiency significantly inhibited the phosphorylation of ERK compared with control (i.e., scrambled shNCs). H2O2 treatment could partially restore the expression levels of CXCL14 and p-ERK in HCT116/shCXCL14 cells. Conclusion: Our studies thus suggest that aberrant ROS may promote colorectal cancer cell proliferation and migration through an oncogenic CXCL14 signaling pathway.

Dynamic Characterization of Protein and Posttranslational Modification Levels in Mycobacterial Cholesterol Catabolism.

Cholesterol of the host macrophage membrane is vital for mycobacterial infection, replication, and persistence. During chronic infection within host lung tissues, cholesterol facilitates the phagocytosis of mycobacteria into macrophages. Cholesterol degradation leads to increased flux of acetyl-coenzyme A (CoA) and propionyl-CoA, providing energy and building blocks for virulence macromolecules as well as donors for global protein acylation. Potential functions of lysine acylation are gradually revealed in bacterial survival and pathogenesis. However, the mycobacterial proteome and posttranslational modification (PTM) changes involved in the cholesterol catabolism bioprocess remain unclear. Here, we used nonpathogenic Mycobacterium smegmatis as a model and simultaneously monitored mycobacterial proteome and acetylome changes in the presence of glucose and cholesterol. We discovered that cholesterol metabolic enzymes were upregulated with respect to both protein expression levels and lysine acylation levels during the metabolic shift from glucose to cholesterol. After that, adenylating enzymes related to cholesterol metabolism were proven to be precisely regulated at the propionylation level by mycobacterial acyltransferase M. smegmatis Kat (MsKat) in response to cellular propionyl-CoA accumulation. Furthermore, the kinase expression and phosphorylation levels were also changed along with fluctuations in cholesterol levels. Our results expanded current knowledge of acylation regulation in the cholesterol catabolism of mycobacteria and provided references for possible antimycobacterium strategy.IMPORTANCE Cholesterol assimilation is a critical step in mycobacterial chronic infection. However, knowledge from the dynamic characterization of cholesterol metabolism in mycobacteria at the protein expression and PTM levels remains limited. Our study uncovered the landscape of protein expression, lysine acetylation, lysine propionylation, and S/T/Y phosphorylation during the metabolic changes from glucose to cholesterol in mycobacteria. The data showed that cholesterol-induced carbon shift resulted in the elevation of protein expression and lysine acylation in diverse metabolic enzymes involved in cholesterol degradation and that the presence of cholesterol also promoted the perturbations at the phosphorylation level in the kinase system in mycobacteria. This study systematically characterized the regulation of cholesterol catabolism at several different levels, which provided the detailed references in mycobacterial proteome and potential antimycobacterial strategies.

Comparative evaluation of label-free quantification strategies.

The selection of a data processing method for use in mass spectrometry-based label-free proteome quantification contributes significantly to its accuracy and precision. In this study, we comprehensively evaluated 7 commonly-used label-free quantification methods (MaxQuant-Spectrum count, MaxQuant-iBAQ, MaxQuant-LFQ, MaxQuant-LFAQ, Proteome Discoverer, MetaMorpheus, TPP-StPeter) with a focus on missing values, precision, accuracy, selectivity, and reproducibility of low abundance protein quantification in both single shot and fractionation. Our results showed that among the tested strategies, MaxQuant in MaxLFQ mode outperformed other strategies in terms of accuracy and precision in both whole proteome and low abundance proteome quantification, whereas the Proteome Discoverer (PD) strategy using SEQUEST as a search engine performed better in terms of quantifiable low abundance proteome coverage. We subsequently applied the PD and MaxLFQ strategies in a blood proteomic dataset and found that many FDA-approved tumor prognostic biomarkers could be identified as well as quantified using the PD strategy, indicating the potential advantage of PD in label-free quantification studies. These results provide a reference for method choice in label-free quantification data analysis. SIGNIFICANCE: Mass spectrometry-based label-free quantification methods play an important role in label-free proteome data analysis. In this study, we evaluated 7 commonly-used label-free quantification methods with respect to the following aspects: missing values, precision, accuracy, selectivity, and reproducibility for low abundance protein quantification. The results showed that, among the strategies evaluated, the PD strategy with SEQUEST as a search engine performed better in terms of low abundance protein coverage. This study provides a reference for method choice in label-free quantification data analysis.