Proteomic Survey Research Articles

Malonylome Analysis Reveals the Involvement of Lysine Malonylation in Metabolism and Photosynthesis in Cyanobacteria.

As a recently validated reversible post translational modification, lysine malonylation regulates diverse cellular processes from bacteria to mammals, but its existence and function in photosynthetic organisms remain unknown. Cyanobacteria are the most ancient group of photosynthetic prokaryotes and contribute about 50% of the total primary production on Earth. Previously, we reported the lysine acetylome in the model cyanobacterium Synechocystis sp. PCC 6803 (Synechocystis). Here we performed the first proteomic survey of lysine malonylation in Synechocystis using highly accurate tandem mass spectrometry in combination with affinity purification. We identified 598 lysine malonylation sites on 339 proteins with high confidence in total. A bioinformatic analysis suggested that these malonylated proteins may play various functions and were distributed in diverse subcellular compartments. Among them, many malonylated proteins were involved in cellular metabolism. The functional significance of lysine malonylation in the metabolic enzyme activity of phosphoglycerate kinase (PGK) was determined by site-specific mutagenesis and biochemical studies. Interestingly, 27 proteins involved in photosynthesis were found to be malonylated for the first time, suggesting that lysine malonylation may be involved in photosynthesis. Thus our results provide the first lysine malonylome in a photosynthetic organism and suggest a previously unexplored role of lysine malonylation in the regulation of metabolic processes and photosynthesis in Synechocystis as well as in other photosynthetic organisms.

Abstract B14: A novel role for BRD9 in regulating cellular growth and DNA damage response pathways

Abstract Bromodomain containing protein BRD9 has been identified as a component of the SWI/SNF chromatin remodeling complex. Next generation sequencing studies have revealed that SWI/SNF is the most highly perturbed chromatin remodeling complex in cancer with subunit mutations present in approximately 20% of all tumor types. SWI/SNF has been implicated as both tumor suppressor and oncogenic driver in diverse contexts. For example, the catalytic subunit SMARCA4 functions as an oncogenic driver, essential for the maintenance of hematologic malignancies such as leukemia. In contrast, loss of function of the ATPase subunit SMARCA4 and the ARID1a subunit precipitate loss of tumor suppressor activity and are apparent in lung and ovarian subtypes. However, the role of BRD9 has not been clearly delineated. Clinical data indicates that testicular germ cell cancer (66%) and esophageal cancer (18%) bear a hemizygous deletion of BRD9 conferring HETLOSS status. Loss of BRD9 heterozygosity leading to enhanced tumorigenic potential is a hallmark of tumor suppressors. This highlights a novel role for this bromodomain protein in regulating the process of oncogenesis. Here we demonstrate shRNA-mediated knockdown of BRD9 enhances clonogenic potential of solid tumor cancer cell lines, while expression of wild-type BRD9 in a HETLOSS cell line abrogates colony formation. Collectively, our data suggests BRD9 functions as a regulator of cellular growth. We examined if SWI/SNF chromatin remodeling activity was dependent on BRD9 status and how this correlated with the growth phenotype. Nucleosome accessibility was significantly decreased when BRD9 was depleted indicating chromatin exists in a more compacted conformation. However, BRD9 knockdown does not result in alterations in assembly or stability of the SWI/SNF complex. Though loss of BRD9 does not perturb SWI/SNF dynamics, it may be required for complex recruitment to chromatin directly or by tethering through protein-protein interactions. Identification of novel BRD9-interacting proteins that target recruitment was carried out by proteomic survey. Analysis of the study revealed enrichment of proteins involved in DNA damage repair pathways. Using a double strand break reporter, we examined if BRD9 depletion perturbed homology-directed or non-homologous end joining repair pathways. Knockdown of BRD9 increased NHEJ-associated reporter activity but had subtle effect on homology-directed repair events. BRD9 colocalizes with γH2AX foci upon damage but this colocalization is lost upon depletion of BRD9. We propose that BRD9 is necessary for recruitment of SWI/SNF to sites of damage, to permit chromatin expansion and assembly of homology-directed repair factors. However, knockdown of BRD9 may shift the balance and favor interactions of non-homologous end joining pathway players to sites of damage, resulting in enhanced error-prone repair and ultimately leading to oncogenic transformation. Collectively, this work highlights a novel and previously unidentified role for BRD9 in DNA damage pathways and identifies a potential vulnerability in NHEJ dependence that may be therapeutically targeted. Citation Format: Caroline Vallaster, Farzin Gharadaghi, Alexis Cocozaki, Kelly Jacques, Brendan Price, Sylvie Guichard. A novel role for BRD9 in regulating cellular growth and DNA damage response pathways [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr B14.

Quantitative analysis of Shigella flexneri protein expression under acid stress.

As an important foodborne pathogen, Shigella flexneri can cause widespread enteric infection with bacteria as few as hundreds. This is, at least in part, attributed to its robust anti-acid strategies because passage through the highly acidic human digestive tract is a prerequisite for successful bacterial infection. Nevertheless, our understanding of these mechanisms and the impact of acid stress on Shigella protein expression still remains largely incomplete. Herein we conducted a proteomic survey of Shigella spp. under acid stress. Out of 1754 protein identifications, we found 131 altered proteins, most of which were down-regulated, including virulence factors and cell envelope proteins. Rather, many metabolic enzymes and pyrimidine/amino acid biosynthesis proteins were up-regulated. In addition to induction of many known anti-acid systems, we also found marked increase of 2-oxoglutarate dehydrogenase (SucAB), a metabolic enzyme in the tricarboxylic acid cycle. Importantly, overproduction of this enzyme significantly enhanced Shigella acid resistance and hence SucAB-mediated metabolic pathways may represent novel anti-acid strategies.

A Comprehensive Proteomic Survey of ABA-Induced Protein Phosphorylation in Rice (Oryza sativa L.)

abscisic acid (ABA) is a key phytohormone regulating plant development and stress response. The signal transduction of ABA largely relies on protein phosphorylation. However; little is known about the phosphorylation events occurring during ABA signaling in rice thus far. By employing a label-free; MS (Mass Spectrometry)-based phosphoproteomic approach; we identified 2271 phosphosites of young rice seedlings and their intensity dynamics in response to ABA; during which 1060 proteins were found to be differentially phosphorylated. Western-blot analysis verified the differential phosphorylation pattern of D1, SMG1 and SAPK9 as indicated by the MS result; suggesting the high reliability of our phosphoproteomic data. The DP (differentially phosphorylated) proteins are extensively involved in ABA as well as other hormone signaling pathways. It is suggested that ABA antagonistically regulates brassinosteroid (BR) signaling via inhibiting BR receptor activity. The result of this study not only expanded our knowledge of rice phosphoproteome, but also shed more light on the pattern of protein phosphorylation in ABA signaling.

Quantitative Proteomics Charts the Landscape of Salmonella Carbon Metabolism within Host Epithelial Cells.

We performed a proteomic survey of Salmonella enterica serovar Typhimurium during infection of host epithelial cells. Our data reveal substantial metabolic reshuffling of Salmonella in the host in addition to severe degeneration of bacterial flagella and chemotaxis systems. The large-scale quantitative data allowed us to chart an overview of intracellular Salmonella carbon metabolism. Notably, we found preferential utilization of glycolysis, the pentose phosphate pathway, mixed acid fermentation, and nucleotide metabolism. In contrast, the tricarboxylic acid (TCA) cycle and aerobic and anaerobic respiration pathways were largely repressed. Furthermore, inactivation of glycolysis and purine biosynthesis led to severe growth defects, indicating important roles in intracellular Salmonella replication. In summary, we exploited quantitative proteomics for rational design of follow-up genetic studies and identified pathways important for bacterial fitness within host cells.

Biomarkers of Winter Mortality resistance in selectively bred Sydney rock oysters (Saccostrea glomerata)

Sydney rock oysters (Saccostrea glomerata) are an important part of Australian cuisine and are considered to be a gourmet delicacy for their distinctive flavor. The species is native to Australian estuaries where it faces challenges from environmental stressors and human impacts. In addition, the Sydney rock oyster aquaculture industry has been periodically affected by outbreaks of diseases such as Queensland Unknown (QX) disease and Winter Mortality, a protozoan borne disease greatly impacting the production of the Sydney rock oyster industry. These diseases limit the production of Sydney rock oysters but do not affect other major oyster species farmed in New South Wales. Winter Mortality is a protozoan born disease affecting the production of the Sydney rock oyster industry greatly. Over the past few decades, breeding lines of Sydney rock oysters have been selected for resistance to Winter Mortality and Queensland Unknown disease. In this study, we report a proteomic comparison between the Winter Mortality selective breeding line and hatchery control oysters. We identified 22 protein features showing differential intensities between the two proteomes. The identities of 19 of these features were established using nanoflow liquid chromatography-tandem mass spectrometry. The differential proteome identified in the current study coincides well with previous analyses of stress responses in oysters, suggesting commonalities between intracellular reactions to disease and stress. For instance, cytoskeletal effects found in the current study to be associated with Winter Mortality resistance have been previously linked to intracellular stress responses. In addition, we identified novel proteins such as proteasome subunit alpha type-6 and calcium-dependent protein kinase 31, both of which are reported for the first time in disease resistant Sydney rock oysters. Results of this study will add to our understanding of stress responses and provide the first proteomic survey of Winter Mortality resistance in Sydney rock oysters.

A Comprehensive Investigation toward the Indicative Proteins of Bladder Cancer in Urine: From Surveying Cell Secretomes to Verifying Urine Proteins.

Urine is an ideal material to study the cancer-related protein biomarkers in bladder, whereas exploration to these candidates is confronting technique challenges. Herein, we propose a comprehensive strategy of searching the urine proteins related with bladder cancer. The strategy consists of three core combinations, screening the biomarker candidates in the secreted proteins derived from the bladder cancer cell lines and verifying them in patient urines, defining the differential proteins through two-dimensional electrophoresis (2DE) and isobaric tags for relative and absolute quantitation (iTRAQ) coupled with LC-MS/MS, and implementing quantitative proteomics of profiling and targeting analysis. With proteomic survey, a total of 700 proteins were found with their abundance of secreted proteins in cancer cell lines different from normal, while 87 proteins were identified in the urine samples. The multiple reaction monitoring (MRM)-based quantification was adapted in verifying the bladder cancer related proteins in individual urine samples, resulting in 10 differential urine proteins linked with the cancer. Of these candidates, receiver operating characteristic analysis revealed that the combination of CO3 and LDHB was more sensitive as the cancer indicator than other groups. The discovery of the bladder cancer indicators through our strategy has paved an avenue to further biomarker validation.

Proteomics for Drug Resistance on the Food Chain? Multidrug-Resistant Escherichia coli Proteomes from Slaughtered Pigs.

Understanding global drug resistance demands an integrated vision, focusing on both human and veterinary medicine. Omics technologies offer new vistas to decipher mechanisms of drug resistance in the food chain. For example, Escherichia coli resistance to major antibiotics is increasing whereas multidrug resistance (MDR) strains are now commonly found in humans and animals. Little is known about the structural and metabolic changes in the cell that trigger resistance to antimicrobial agents. Proteomics is an emerging field that is used to advance our knowledge in global health and drug resistance in the food chain. In the present proteomic analysis, we offer an overview of the global protein expression of different MDR E. coli strains from fecal samples of pigs slaughtered for human consumption. A full proteomic survey of the drug-resistant strains SU60, SU62, SU76, and SU23, under normal growth conditions, was made by two-dimensional electrophoresis, identifying proteins by MALDI-TOF/MS. The proteomes of these four E. coli strains with different genetic profiles were compared in detail. Identical transport, stress response, or metabolic proteins were discovered in the four strains. Several of the identified proteins are essential in bacterial pathogenesis (GAPDH, LuxS, FKBPs), development of bacterial resistance (Omp's, TolC, GroEL, ClpB, or SOD), and potential antibacterial targets (FBPA, FabB, ACC's, or Fab1). Effective therapies against resistant bacteria are crucial and, to accomplish this, a comprehensive understanding of putative resistance mechanisms is essential. Moving forward, we suggest that multi-omics research will further improve our knowledge about bacterial growth and virulence on the food chain, especially under antibiotic stress.

An Inventory of Nutrient-Responsive Genes in Arabidopsis Root Hairs.

Root hairs, single cell extensions of root epidermal cells that are critically involved in the acquisition of mineral nutrients, have proven to be an excellent model system for studying plant cell growth. More recently, omics-based systems biology approaches have extended the model function of root hairs toward functional genomic studies. While such studies are extremely useful to decipher the complex mechanisms underlying root hair morphogenesis, their importance for the performance and fitness of the plant puts root hairs in the spotlight of research aimed at elucidating aspects with more practical implications. Here, we mined transcriptomic and proteomic surveys to catalog genes that are preferentially expressed in root hairs and responsive to nutritional signals. We refer to this group of genes as the root hair trophomorphome. Our analysis shows that the activity of genes within the trophomorphome is regulated at both the transcriptional and post-transcriptional level with the mode of regulation being related to the function of the gene product. A core set of proteins functioning in cell wall modification and protein transport was defined as the backbone of the trophomorphome. In addition, our study shows that homeostasis of reactive oxygen species and redox regulation plays a key role in root hair trophomorphogenesis.

An Inducible Retroviral Expression System for Tandem Affinity Purification Mass-Spectrometry-Based Proteomics Identifies Mixed Lineage Kinase Domain-like Protein (MLKL) as an Heat Shock Protein 90 (HSP90) Client

An Inducible Retroviral Expression System for Tandem Affinity Purification Mass-Spectrometry-Based Proteomics Identifies Mixed Lineage Kinase Domain-like Protein (MLKL) as an Heat Shock Protein 90 (HSP90) Client

Quantitative Proteomics Uncovers Novel Factors Involved in Developmental Differentiation of Trypanosoma brucei.

Developmental differentiation is a universal biological process that allows cells to adapt to different environments to perform specific functions. African trypanosomes progress through a tightly regulated life cycle in order to survive in different host environments when they shuttle between an insect vector and a vertebrate host. Transcriptomics has been useful to gain insight into RNA changes during stage transitions; however, RNA levels are only a moderate proxy for protein abundance in trypanosomes. We quantified 4270 protein groups during stage differentiation from the mammalian-infective to the insect form and provide classification for their expression profiles during development. Our label-free quantitative proteomics study revealed previously unknown components of the differentiation machinery that are involved in essential biological processes such as signaling, posttranslational protein modifications, trafficking and nuclear transport. Furthermore, guided by our proteomic survey, we identified the cause of the previously observed differentiation impairment in the histone methyltransferase DOT1B knock-out strain as it is required for accurate karyokinesis in the first cell division during differentiation. This epigenetic regulator is likely involved in essential chromatin restructuring during developmental differentiation, which might also be important for differentiation in higher eukaryotic cells. Our proteome dataset will serve as a resource for detailed investigations of cell differentiation to shed more light on the molecular mechanisms of this process in trypanosomes and other eukaryotes.

Combining Untargeted and Targeted Proteomic Strategies for Discrimination and Quantification of Cashmere Fibers.

Cashmere is regarded as a specialty and luxury fiber due to its scarcity and high economic value. For fiber quality assessment, it is technically very challenging to distinguish and quantify the cashmere fiber from yak or wool fibers because of their highly similar physical appearance and substantial protein sequence homology. To address this issue, we propose a workflow combining untargeted and targeted proteomics strategies for selecting, verifying and quantifying biomarkers for cashmere textile authentication. Untargeted proteomic surveys were first applied to identify 174, 157, and 156 proteins from cashmere, wool and yak fibers, respectively. After marker selection at different levels, peptides turned out to afford much higher selectivity than proteins for fiber species discrimination. Subsequently, parallel reaction monitoring (PRM) methods were developed for ten selected peptide markers. The PRM-based targeted analysis of peptide markers enabled accurate determination of fiber species and cashmere percentages in different fiber mixtures. Furthermore, collective use of these peptide makers allowed us to discriminate and quantify cashmere fibers in commercial finished fabrics that have undergone heavy chemical treatments. Cashmere proportion measurement in fabric samples using our proteomic approach was in good agreement with results from traditional light microscopy, yet our method can be more readily standardized to become an objective and robust assay for assessing authenticity of fibers and textiles. We anticipate that the proteomic strategies presented in our study could be further implicated in discovery of quality trait markers for other products containing highly homologous proteomes.

An interaction proteomics survey of transcription factor binding at recurrent TERT promoter mutations.

Aberrant telomerase reactivation in differentiated cells represents a major event in oncogenic transformation. Recurrent somatic mutations in the human telomerase reverse transcriptase (TERT) promoter region, predominantly localized to two nucleotide positions, are highly prevalent in many cancer types. Both mutations create novel consensus E26 transformation-specific (ETS) motifs and are associated with increased TERT expression. Here, we perform an unbiased proteome-wide survey of transcription factor binding at TERT promoter mutations in melanoma. We observe ELF1 binding at both mutations in vitro and we show that increased recruitment of GABP is enabled by the spatial architecture of native and novel ETS motifs in the TERT promoter region. We characterize the dynamics of competitive binding between ELF1 and GABP and provide evidence for ELF1 exclusion by transcriptionally active GABP. This study thus provides an important description of proteome-wide, mutation-specific binding at the recurrent, oncogenic TERT promoter mutations.

Altered Skeletal Muscle Mitochondrial Proteome As the Basis of Disruption of Mitochondrial Function in Diabetic Mice.

Insulin plays pivotal role in cellular fuel metabolism in skeletal muscle. Despite being the primary site of energy metabolism, the underlying mechanism on how insulin deficiency deranges skeletal muscle mitochondrial physiology remains to be fully understood. Here we report an important link between altered skeletal muscle proteome homeostasis and mitochondrial physiology during insulin deficiency. Deprivation of insulin in streptozotocin-induced diabetic mice decreased mitochondrial ATP production, reduced coupling and phosphorylation efficiency, and increased oxidant emission in skeletal muscle. Proteomic survey revealed that the mitochondrial derangements during insulin deficiency were related to increased mitochondrial protein degradation and decreased protein synthesis, resulting in reduced abundance of proteins involved in mitochondrial respiration and β-oxidation. However, a paradoxical upregulation of proteins involved in cellular uptake of fatty acids triggered an accumulation of incomplete fatty acid oxidation products in skeletal muscle. These data implicate a mismatch of β-oxidation and fatty acid uptake as a mechanism leading to increased oxidative stress in diabetes. This notion was supported by elevated oxidative stress in cultured myotubes exposed to palmitate in the presence of a β-oxidation inhibitor. Together, these results indicate that insulin deficiency alters the balance of proteins involved in fatty acid transport and oxidation in skeletal muscle, leading to impaired mitochondrial function and increased oxidative stress.

Advancing the global proteome survey platform by using an oriented single chain antibody fragment immobilization approach

Increasing the understanding of a proteome and how its protein composition is affected by for example different diseases, such as cancer, has the potential to improve strategies for early diagnosis and therapeutics. The Global Proteome Survey or GPS is a method that combines mass spectrometry and affinity enrichment with the use of antibodies. The technology enables profiling of complex proteomes in a species independent manner. The sensitivity of GPS, and other methods relying on affinity enrichment, is largely affected by the activity of the exploited affinity reagent. We here present an improvement of the GPS platform by utilizing an antibody immobilization approach which ensures a controlled immobilization process of the antibody to the magnetic bead support. More specifically, we make use of an antibody format that enables site-directed biotinylation and use this in combination with streptavidin coated magnetic beads. The performance of the expanded GPS platform was evaluated by profiling yeast proteome samples. We demonstrate that the oriented antibody immobilization strategy increases the ability of the GPS platform and results in larger fraction of functional antibodies. Additionally, we show that this new antibody format enabled in-solution capture, i.e. immobilization of the antibodies after sample incubation. A workflow has been established that permit the use of an oriented immobilization strategy for the GPS platform.

Pre-fractionation strategies to resolve pea (Pisum sativum) sub-proteomes.

Legumes are important crop plants and pea (Pisum sativum L.) has been investigated as a model with respect to several physiological aspects. The sequencing of the pea genome has not been completed. Therefore, proteomic approaches are currently limited. Nevertheless, the increasing numbers of available EST-databases as well as the high homology of the pea and medicago genome (Medicago truncatula Gaertner) allow the successful identification of proteins. Due to the un-sequenced pea genome, pre-fractionation approaches have been used in pea proteomic surveys in the past. Aside from a number of selective proteome studies on crude extracts and the chloroplast, few studies have targeted other components such as the pea secretome, an important sub-proteome of interest due to its role in abiotic and biotic stress processes. The secretome itself can be further divided into different sub-proteomes (plasma membrane, apoplast, cell wall proteins). Cell fractionation in combination with different gel-electrophoresis, chromatography methods and protein identification by mass spectrometry are important partners to gain insight into pea sub-proteomes, post-translational modifications and protein functions. Overall, pea proteomics needs to link numerous existing physiological and biochemical data to gain further insight into adaptation processes, which play important roles in field applications. Future developments and directions in pea proteomics are discussed.

Dynamic niche-specific adaptations in Neisseria meningitidis during infection

Neisseria meningitidis is an opportunistic human pathogen that usually colonizes the nasopharyngeal mucosa asymptomatically. Upon invasion into the blood and central nervous system, this bacterium triggers a fulminant inflammatory reaction with the manifestations of septicemia and meningitis, causing high morbidity and mortality. To reveal the bacterial adaptations to specific and dynamic host environments, we performed a comprehensive proteomic survey of N. meningitidis isolated from the nasal mucosa, CSF and blood of a mouse disease model. We could identify 51 proteins whose expression pattern has been changed during infection, many of which have not yet been characterized. The abundance of proteins was markedly lower in the bacteria isolated from the nasal mucosa compared to the bacteria from the blood and CSF, indicating that initiating adhesion is the harshest challenge for meningococci. The high abundance of the glutamate dehydrogenase (GdhA) and Opa1800 proteins in all bacterial isolates suggests their essential role in bacterial survival in vivo. To evaluate the biological relevance of our proteomic findings, four candidate proteins from representative functional groups, such as the bacterial chaperone GroEL, IMP dehydrogenase GuaB, and membrane proteins PilQ and NMC0101, were selected and their impact on bacterial fitness was investigated by mutagenesis assays. This study provides an integrated picture of bacterial niche-specific adaptations during consecutive infection processes.

Complex transcriptional regulation and independent evolution of fungal-like traits in a relative of animals.

Cell-type specification through differential genome regulation is a hallmark of complex multicellularity. However, it remains unclear how this process evolved during the transition from unicellular to multicellular organisms. To address this question, we investigated transcriptional dynamics in the ichthyosporean Creolimax fragrantissima, a relative of animals that undergoes coenocytic development. We find that Creolimax utilizes dynamic regulation of alternative splicing, long inter-genic non-coding RNAs and co-regulated gene modules associated with animal multicellularity in a cell-type specific manner. Moreover, our study suggests that the different cell types of the three closest animal relatives (ichthyosporeans, filastereans and choanoflagellates) are the product of lineage-specific innovations. Additionally, a proteomic survey of the secretome reveals adaptations to a fungal-like lifestyle. In summary, the diversity of cell types among protistan relatives of animals and their complex genome regulation demonstrates that the last unicellular ancestor of animals was already capable of elaborate specification of cell types.

A Survey of the Impact of Deyolking on Biological Processes Covered by Shotgun Proteomic Analyses of Zebrafish Embryos.

Deyolking, the removal of the most abundant protein from the zebrafish (Danio rerio) embryo, is a common technique for in-depth exploration of proteome-level changes in vivo due to various environmental stressors or pharmacological impacts during embryonic stage of development. However, the effect of this procedure on the remaining proteome has not been fully studied. Here, we report a label-free shotgun proteomics survey on proteome coverage and biological processes that are enriched and depleted as a result of deyolking. Enriched proteins are involved in cellular energetics and development pathways, specifically implicating enrichment related to mitochondrial function. Although few proteins were removed completely by deyolking, depleted molecular pathways were associated with calcium signaling and signaling events implicating immune system response.

The use of simultaneous confidence bands for comparison of single parameter fluorescent intensity data.

Despite the utility of multiparameter flow cytometry for a wide variety of biological applications, comparing single parameter histograms of fluorescence intensity remains a mainstay of flow cytometric analysis. Even comparisons requiring multiparameter gating strategies often end with single parameter histograms as the final readout. When histograms overlap, analysis relies on comparison of mean or median fluorescence intensities, or determination of percent positive based on an arbitrary cutoff. Earlier attempts to address this problem utilized either simple channel-by-channel subtraction without statistical evaluation, or the Kolmogorov-Smirnov (KS) or Chi-square test statistics, both of which proved to be overly sensitive to small and biologically insignificant differences. Here we present a method for the comparison of two single-parameter histograms based on difference curves and their simultaneous confidence bands generated by bootstrapping raw channel data. Bootstrapping is a nonparametric statistical approach that can be used to generate confidence intervals without distributional assumptions about the data. We have constructed simultaneous confidence bands and show them to be superior to KS and Cox methods. The method constructs 95% confidence bands about the difference curves, provides a P value for the comparison and calculates the area under the difference curve (AUC) as an estimate of percent positive and the area under the confidence band (AUCSCB95), providing a lower estimate of the percent positive. To demonstrate the utility of this new approach we have examined single-color fluorescence intensity data taken from a cell surface proteomic survey of a lung cancer cell line (A549) and a published fluorescence intensity data from a rhodamine efflux assay of P-glycoprotein activity, comparing rhodamine 123 loading and efflux in CD4 and CD8 T-cell populations. SAS source code is provided as supplementary material.