PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “differential proteomics analysis”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 361 records · Page 20Linked to original sources

HpaA is essential for Helicobacter pylori colonization in mice.

Infection with the human gastric pathogen Helicobacter pylori can give rise to chronic gastritis, peptic ulcer, and gastric cancer. All H. pylori strains express the surface-localized protein HpaA, a promising candidate for a vaccine against H. pylori infection. To study the physiological importance of HpaA, a mutation of the hpaA gene was introduced into a mouse-adapted H. pylori strain. To justify that the interruption of the hpaA gene did not cause any polar effects of downstream genes or was associated with a second site mutation, the protein expression patterns of the mutant and wild-type strains were characterized by two different proteomic approaches. Two-dimensional differential in-gel electrophoresis analysis of whole-cell extracts and subcellular fractionation combined with nano-liquid chromatography-Fourier transform ion cyclotron resonance mass spectrometry for outer membrane protein profiling revealed only minor differences in the protein profile between the mutant and the wild-type strains. Therefore, the mutant strain was tested for its colonizing ability in a well-established mouse model. While inoculation with the wild-type strain resulted in heavily H. pylori-infected mice, the HpaA mutant strain was not able to establish colonization. Thus, by combining proteomic analysis and in vivo studies, we conclude that HpaA is essential for the colonization of H. pylori in mice.

Adhesins, Bacterial↗

Proteomic analysis for the assessment of diabetic renal damage in humans.

Renal disease in patients with Type II diabetes is the leading cause of terminal renal failure and a major healthcare problem. Hence early identification of patients prone to develop this complication is important. Diabetic renal damage should be reflected by a change in urinary polypeptide excretion at a very early stage. To analyse these changes, we used an online combination of CE/MS (capillary electrophoresis coupled with MS), allowing fast and accurate evaluation of up to 2000 polypeptides in urine. Employing this technology, we have examined urine samples from 39 healthy individuals and from 112 patients with Type II diabetes mellitus and different degrees of albumin excretion rate. We established a 'normal' polypeptide pattern in the urine of healthy subjects. In patients with Type II diabetes and normal albumin excretion rate, the polypeptide pattern in urine differed significantly from normal, indicating a specific 'diabetic' pattern of polypeptide excretion. In patients with higher grade albuminuria, we were able to detect a polypeptide pattern indicative of 'diabetic renal damage'. We also found this pattern in 35% of those patients who had low-grade albuminuria and in 4% of patients with normal albumin excretion. Moreover, we could identify several of the indicative polypeptides using MS/MS sequencing. We conclude that proteomic analysis with CE/MS permits fast and accurate identification and differentiation of polypeptide patterns in urine. Longitudinal studies should explore the potential of this powerful diagnostic tool for early detection of diabetic renal damage.

Aged↗

A multiplexed proteomics approach to differentiate neurite outgrowth patterns.

We report here a method for proteomics pattern discovery by utilizing a self-organizing map approach to analyze data obtained from a novel multiplex iTRAQ proteomics method. Through the application of this technique, we were able to delineate the early molecular events preceding dorsal root ganglia neurite outgrowth induced by either nerve growth factor (NGF) or an immunophilin ligand, JNJ460. Following pattern analysis we discovered that each neurotrophic agent promoted mostly distinct increases in protein expression with few overlapping patterns. In the NGF-treated group, proteins possessing "biosynthesis function" (p < 0.002) and "ribosome localization" (p < 0.0003) were increased, while proteins promoting "organogenesis" (p < 0.004) and related "signal transduction" (p < 0.008) functions were notably increased in the JNJ460-treated group. This study suggests that the properties of neurite outgrowth triggered by NGF and JNJ460 can be distinguished at the proteome level. Multiplexed proteomics analysis, along with pattern discovery bioinformatics tools, has the capability to differentiate subtle neuroproteomics patterns.

Animals↗

Comparative proteomic analysis of mouse embryonic stem cells and neonatal-derived cardiomyocytes.

Pluripotent embryonic stem cells (ESCs) spontaneously differentiate via embryo-like aggregates into cardiomyocytes. A thorough understanding of the molecular conditions in ESCs is necessary before other potential applications of these cells such as cell therapy can be materialized. We applied two dimensional electrophoresis to analyze and compare the proteome profiling of spontaneous mouse ESC-derived cardiomyocytes (ESC-DCs), undifferentiated mouse ESCs, and neonatal-derived cardiomyocytes (N-DCs). Ninety-five percent of the proteins detected on the ESC-DCs and N-DCs could be precisely paired with one other, whereas only twenty percent of the ESC proteins could be reliably matched with those on the ESC-DCs and N-DCSs, suggesting a striking similarity between them. Having identified sixty proteins in the said three cell types, we sought to provide possible explanations for their differential expression patterns and discuss their relevance to cell biology. This study provides a new insight into the gene expression pattern of differentiated cardiomyocytes and is further evidence for a close relation between ESC-DCs and N-DCSs.

Animals↗

A novel experimental design for comparative two-dimensional gel analysis: two-dimensional difference gel electrophoresis incorporating a pooled internal standard.

The comparison of two-dimensional (2-D) gel images from different samples is an established method used to study differences in protein expression. Conventional methods rely on comparing images from at least 2 different gels. Due to the high variation between gels, detection and quantification of protein differences can be problematic. Two-dimensional difference gel electrophoresis (Ettan trade mark DIGE) is an emerging technique for comparative proteomics, which improves the reproducibility and reliability of differential protein expression analysis between samples. In the application of DIGE different samples are labelled with mass and charge matched spectrally resolvable fluorescent dyes and are then separated on the same 2-D gel. Using an Escherichia coli lysate "spiked" with varying amounts of four different known proteins, we have tested a novel experimental design that exploits the sample multiplexing capabilities of DIGE, by including a standard sample in each gel. The standard sample comprises equal amounts of each sample to be compared and was found to improve the accuracy of protein quantification between samples from different gels allowing accurate detection of small differences in protein levels between samples.

Electrophoresis, Gel, Two-Dimensional↗

Proteomic analysis of acute myeloid leukemia: Identification of potential early biomarkers and therapeutic targets.

The main goal of this study was to analyze, using proteomic techniques, changes in protein expression of acute myeloid leukemia (AML) cells that could give insights into a better early prognosis for tumor pathophysiology. Proteomic analysis of different subtypes of AML cells was carried out using 2-DE and MALDI-TOF PMF analysis. Proteins identified as more significantly altered between the different AMLs belonged to the group of suppressor genes, metabolic enzymes, antioxidants, structural proteins and signal transduction mediators. Among them, seven identified proteins were found significantly altered in almost all the AML blast cells analyzed in relation to normal mononuclear blood cells: alpha-enolase, RhoGDI2, annexin A10, catalase, peroxiredoxin 2, tromomyosin 3, and lipocortin 1 (annexin 1). These differentially expressed proteins are known to play important roles in cellular functions such as glycolysis, tumor suppression, apoptosis, angiogenesis and metastasis, and they might contribute to the adverse evolution of the disease. Proteomic analysis has identified for the first time novel proteins that may either help to form a differential prognosis or be used as markers for disease outcome, thus providing potential new targets for rational pathogenesis-based therapies of AML.

Adolescent↗

Proteomic signatures in laryngeal squamous cell carcinoma.

Laryngeal cancer remains a worldwide health problem. The identification of biomarkers unique to laryngeal cancer may provide new insights into its pathogenesis, as well as provide potential targets for novel therapies and early detection. In order to identify potential biomarkers, we performed a proteomic analysis of laryngeal cancer specimens. Using two-dimensional differential in-gel electrophoresis and mass spectroscopy, protein expression profiles from two laryngeal carcinoma specimens and corresponding adjacent normal tissue were analyzed. The results of our analysis showed that the expression of a number of proteins was significantly altered in the tumor specimens when compared to matched normal controls. The differentially expressed proteins were identified, and they included stratifin, S100 calcium-binding protein A9, p21-ARC, stathmin, and enolase. With these findings, we have identified potential biomarkers which may contribute to the pathogenesis of laryngeal carcinoma, and which may be suitable as targets for novel therapeutic and/or diagnostic modalities.

14-3-3 Proteins↗

Cardiac mitochondrial proteome of lean, healthy Ossabaw minipigs with predisposition to metabolic syndrome versus that of G&#xf6;ttingen minipigs.

Ossabaw minipigs differ from other (mini)pig strains by their genetic predisposition to develop full metabolic syndrome and their nonresponsiveness to cardioprotective interventions, even before developing the diseased phenotype. Previous DNA sequencing data revealed differences in a cluster of mitochondrial protein-coding genes between Ossabaw and G&#xf6;ttingen minipigs-a large animal model without such a genetic predisposition and a responsiveness to cardioprotection. Alterations in mitochondrial protein composition affect mitochondrial function, and mitochondria play a crucial role in the development of metabolic syndrome and for cardioprotection. Therefore, we aimed to compare the cardiac mitochondrial proteome between lean Ossabaw minipigs with a healthy phenotype and G&#xf6;ttingen minipigs to gain initial insights into potential differences in mitochondrial protein composition and function. Cardiac mitochondria (left ventricular tissue) of both minipig strains (male/female pigs) were isolated, and the proteome was analyzed by liquid chromatography-tandem mass spectrometry. An unbiased, nonhypothesis-driven proteome analysis identified 97% overlap in the proteome. Among the 3% of differentially expressed proteins, 19 were related to mitochondrial metabolism, 8 to transcription and translation, 3 to small molecule transport, 2 to oxidative phosphorylation, and 1 to dynamics and surveillance. These small differences in protein composition were associated with an altered mitochondrial energy turnover-ATP production was reduced by 49% in Ossabaw compared with G&#xf6;ttingen minipig mitochondria. This proteome analysis provides a broader basis to understand how genetic alterations result in changes of the mitochondrial proteome and function, which might be relevant for the development and progression of metabolic syndrome and/or the primordial nonresponsiveness to cardioprotection in Ossabaw minipigs.NEW & NOTEWORTHY Our comprehensive cardiac mitochondrial proteome of Ossabaw and G&#xf6;ttingen minipigs is a valuable resource for cardiac biomedical research. Moreover, our proteome analysis provides a broader basis for understanding how genetic alterations result in changes of the mitochondrial proteome and support a mechanistic link between subtle, strain-specific mitochondrial proteomic signatures and altered mitochondrial energy turnover. These changes may be relevant for the development and progression of metabolic syndrome and/or primordial nonresponsiveness to cardioprotection in Ossabaw minipigs.

Animals↗

Pigment epithelium-derived factor is differentially expressed in peripheral neuropathies.

Peripheral neuropathies are characterized by asymmetrical slowly progressive weakness with no upper motor neuron signs, and can occur either with or without pain. Due to poor knowledge of the disease mechanisms, available pain treatment is very limited. Because of the difficulties and invasiveness involved when performing direct analysis on peripheral and CNS, pathological markers can be searched for in the cerebrospinal fluid (CSF) as an alternative. To investigate pain mechanisms in peripheral neuropathy and find diagnostic markers, CSF samples were analyzed by a differential expression proteomic approach. We studied CSF from: neuropathic patients with pain (PN), without pain (NPN) and healthy controls (CN). 2-DE analysis showed ten protein spots differentially expressed, and six of these were identified by MS. In NPN patients we found an expression level decrease of three pigment epithelium-derived factor (PEDF) protein isoforms. Immunoblot with a specific antibody revealed the presence of additional PEDF isoforms not highlighted by differential expression analysis. Fucose residues on the oligosaccharide chain were found only in the isoforms down regulated in NPN patients. Considered as PEDF has important neurobiological effects, it might be considered an interesting pathology marker.

Adult↗

Plasma proteome profiling identifies XPNPEP3 as a novel biomarker associated with metabolic dysfunction-associated steatotic liver disease in patients with type 2 diabetes mellitus.

OBJECTIVE: To identify plasma protein differences between type 2 diabetes mellitus (T2DM) patients with and without metabolic dysfunction-associated steatotic liver disease (MASLD), and to evaluate the diagnostic potential of X-prolyl aminopeptidase 3 (XPNPEP3) for identifying MASLD in T2DM patients. METHODS: Twenty T2DM inpatients were categorized into groups with and without MASLD and their plasma samples&#xa0;were analyzed using data-independent acquisition mass spectrometry, followed by bioinformatics analysis to identify differentially expressed proteins. The cohort was then expanded to 84 patients, and plasma XPNPEP3 levels were validated by enzyme-linked immunosorbent assay. Correlation between XPNPEP3 and clinical indicators were evaluated, and diagnostic performance was determined via receiver operating characteristic (ROC) analysis. Immunohistochemistry was employed to compare hepatic XPNPEP3 expression between the two groups. RESULTS: Proteomic analysis identified 176 differentially expressed proteins, with XPNPEP3 exhibiting the most significant down-regulation by fold change. In the validation cohort, plasma XPNPEP3 was significantly lower in T2DM+MASLD versus T2DM alone. XPNPEP3 levels were negatively correlated with diabetes duration, liver function markers, and triglyceride levels, and was identified as an independent factor inversely associated with MASLD in T2DM.ROC analysis demonstrated strong diagnostic performance for XPNPEP3, further enhanced when combined with BMI and diabetes duration.&#xa0; Immunohistochemistry confirmed reduced hepatic XPNPEP3 expression in T2DM+MASLD patients. CONCLUSIONS: Lower plasma XPNPEP3 is independently associated with MASLD in T2DM patients and demonstrates strong diagnostic potential, positioning XPNPEP3 as a promising biomarker for diagnosing MASLD in T2DM patients and a novel target for non-invasive diagnostic tool development.

Humans↗

Proteomic insights into the immunomodulatory effects of Ca/Sr co-doped sol-gel coatings for titanium implants.

Ionic functionalization of biomaterial coatings has emerged as a powerful strategy to regulate early host responses at the implant interface. However, how combined Ca/Sr incorporation governs the adsorbed proteome and downstream immune signaling remains poorly understood. This study analyses, employing in vitro tests and proteomics, the effect of adding Sr and Ca to Si-based coatings designed to bioactivate Ti implants. Hybrid Si-based coatings were synthesized by the sol-gel route with a fixed Ca content (0.5&#x202f;wt%) and increasing Sr contents (0.5, 1.0, 1.5&#x202f;wt%), and their physicochemical properties, ion release kinetics, and hydrolytic stability were characterized. The coatings remained highly crosslinked despite Ca/Sr incorporation, whereas the highest Sr content increased hydrolytic degradation to around 70% after 56 days. Proteomic analysis identified 183 adsorbed proteins, of which 56 were differentially adsorbed on Ca/Sr-coatings, mainly associated with immune and coagulation pathways. In vitro, RAW 264.7 showed increased gene expression of TNF-&#x3b1; and TGF-&#x3b2;; with an enhanced TNF-&#x3b1; secretion by the addition of Ca and Sr. In parallel, MC3T3-E1 indicated that Ca/Sr-coatings were not cytotoxic and did not impair cell proliferation. However, ALP activity was reduced in the co-doped groups, indicating that the immunomodulatory effects induced by Ca/Sr incorporation were not accompanied by enhanced early osteogenic differentiation. The Ca/Sr combination induced alterations in the adsorption of immune-related proteins, which correlated with the in vitro findings. The deeper insight into how Ca/Sr mixtures modulate protein adsorption on biomaterial surfaces may be key to understanding the immunomodulatory capacity of these bioactive cations.

Animals↗

Proteomic analysis of acidic chaperones, and stress proteins in extreme halophile Halobacterium NRC-1: a comparative proteomic approach to study heat shock response.

BACKGROUND: Halobacterium sp. NRC-1 is an extremely halophilic archaeon and has adapted to optimal growth under conditions of extremely high salinity. Its proteome is highly acidic with a median pI of 4.9, a unique characteristic which helps the organism to adapt high saline environment. In the natural growth environment, Halobacterium NRC-1 encounters a number of stressful conditions including high temperature and intense solar radiation, oxidative and cold stress. Heat shock proteins and chaperones play indispensable roles in an organism's survival under many stress conditions. The aim of this study was to develop an improved method of 2-D gel electrophoresis with enhanced resolution of the acidic proteome, and to identify proteins with diverse cellular functions using in-gel digestion and LC-MS/MS and MALDI-TOF approach. RESULTS: A modified 2-D gel electrophoretic procedure, employing IPG strips in the range of pH 3-6, enabled improved separation of acidic proteins relative to previous techniques. Combining experimental data from 2-D gel electrophoresis with available genomic information, allowed the identification of at least 30 cellular proteins involved in many cellular functions: stress response and protein folding (CctB, PpiA, DpsA, and MsrA), DNA replication and repair (DNA polymerase A alpha subunit, Orc4/CDC6, and UvrC), transcriptional regulation (Trh5 and ElfA), translation (ribosomal proteins Rps27ae and Rphs6 of the 30 S ribosomal subunit; Rpl31eand Rpl18e of the 50 S ribosomal subunit), transport (YufN), chemotaxis (CheC2), and housekeeping (ThiC, ThiD, FumC, ImD2, GapB, TpiA, and PurE). In addition, four gene products with undetermined function were also identified: Vng1807H, Vng0683C, Vng1300H, and Vng6254. To study the heat shock response of Halobacterium NRC-1, growth conditions for heat shock were determined and the proteomic profiles under normal (42 degrees C), and heat shock (49 degrees C) conditions, were compared. Using a differential proteomic approach in combination with available genomic information, bioinformatic analysis revealed five putative heat shock proteins that were upregulated in cells subjected to heat stress at 49 degrees C, namely DnaJ, GrpE, sHsp-1, Hsp-5 and sHsp-2. CONCLUSION: The modified 2-D gel electrophoresis markedly enhanced the resolution of the extremely acidic proteome of Halobacterium NRC-1. Constitutive expression of stress proteins and chaperones help the organism to adapt and survive under extreme salinity and other stress conditions. The upregulated expression pattern of putative chaperones DnaJ, GrpE, sHsp-1, Hsp-5 and sHsp-2 under elevated temperature clearly suggests that Halobacterium NRC-1 has a sophisticated defense mechanism to survive in extreme environments.

Journal Article↗

Cellular redox activity of coenzyme Q10: effect of CoQ10 supplementation on human skeletal muscle.

In this paper, we report results obtained from a continuing clinical trial on the effect of coenzyme Q10 (CoQ10) administration on human vastus lateralis (quadriceps) skeletal muscle. Muscle samples, obtained from aged individuals receiving placebo or CoQ10 supplementation (300mg per day for four weeks prior to hip replacement surgery) were analysed for changes in gene and protein expression and in muscle fibre type composition. Microarray analysis (Affymetrix U95A human oligonucleotide array) using a change in gene expression of 1.8-fold or greater as a cutoff point, demonstrated that a total of 115 genes were differentially expressed in six subject comparisons. In the CoQ10-treated subjects, 47 genes were up-regulated and 68 down-regulated in comparison with placebo-treated subjects. Restriction fragment differential display analysis showed that over 600 fragments were differentially expressed using a 2.0-fold or greater change in expression as a cutoff point. Proteome analysis revealed that, of the high abundance muscle proteins detected (2,086 +/- 115), the expression of 174 proteins was induced by CoQ10 while 77 proteins were repressed by CoQ10 supplementation. Muscle fibre types were also affected by CoQ10 treatment; CoQ10-treated individuals showed a lower proportion of type I (slow twitch) fibres and a higher proportion of type IIb (fast twitch) fibres, compared to age-matched placebo-treated subjects. The data suggests that CoQ10 treatment can act to influence the fibre type composition towards the fibre type profile generally found in younger individuals. Our results led us to the conclusion that coenzyme Q10 is a gene regulator and consequently has wide-ranging effects on over-all tissue metabolism. We develop a comprehensive hypothesis that CoQ10 plays a major role in the determination of membrane potential of many, if not all, sub-cellular membrane systems and that H2O2 arising from the activities of CoQ10 acts as a second messenger for the modulation of gene expression and cellular metabolism.

Aged↗

Comparative proteomic analysis of juvenile and adult liver fluke, Opisthorchis viverrini.

We used comparative two-dimensional gel electrophoresis to highlight proteins that are differentially expressed in the maturation stage of the parasite Opisthorchis viverrini (OV). The proteins differentially expressed in the juvenile/adult forms of the parasite are thought to be important for survival and pathogenesis. We used a nonlinear gradient pH ranged 3-10 strips for isoelectric focusing to resolve soluble proteins from four different maturation periods of OV from 1 week juvenile to 4 week adult. Approximately 210-240 protein spots were resolved by 2-DE in two ranges of pI (4.5-5.8 and 6.0-8.0). At least 35 protein spots were differentially expressed in 4 week adult compared to 1 week juvenile fluke. These proteins may involve in sex organ development and egg production. Comparative analysis of the OV proteome of different aged parasites during maturation may help to better understand parasite biology, pathogenesis/carcinogenesis related to this parasite and lead to the identification of new targets of vaccines and drugs.

Animals↗

Proteomic analysis of tumor establishment and growth in the B16-F10 mouse melanoma model.

The B16-F10 mouse model of melanoma is a widely used model to study many aspects of cancer biology and therapeutics in a solid tumor. Melanomas aggressively progress within a dynamic microenvironment containing in addition to tumor cells, stroma cells and components such as fibroblasts, immune cells, vascular cells, extracellular matrix (ECM) and extracellular molecules. The goal of this study was to elucidate the processes of tumor progression by identifying differentially expressed proteins in the tumor mass during specific stages of tumor growth. A comparative proteome analysis was performed on B16-F10 derived tumors in C57BL/6 mice at days 3, 5, 7, and 10. Statistical approaches were used to determine quantitative differential protein expression at each tumor time stage. Hierarchical clustering of 44 protein spots (p < 0.01) revealed a progressive change in the tumor mass when all 4 time stages were classified together, but there was a clear switch in expression of these proteins between the day 5 and the day 7 tumors. A trend analysis showed 53 protein spots (p < 0.001) following 6 predominant kinetic paths of expression as the tumor progressed. The protein spots were then identified using MALDI-TOF mass spectrometry. Proteins involved in glycolysis, inflammation, wounding, superoxide metabolism, and chemotaxis increased during tumorigenesis. From day 3 to day 7 VEGF and active cathepsin D were induced 7-fold and 4-fold, respectively. Proteins involved in electron transport, protein folding, blood coagulation, and transport decreased during tumorigenesis. This work illustrates changes in the biology of the B16-F10 tumor mass during tumor progression.

Animals↗

Quantitative analysis of severe acute respiratory syndrome (SARS)-associated coronavirus-infected cells using proteomic approaches: implications for cellular responses to virus infection.

We present the first proteomic analysis on the cellular response to severe acute respiratory syndrome-associated coronavirus (SARS-CoV) infection. The differential proteomes of Vero E6 cells with and without infection of the SARS-CoV were resolved and quantitated with two-dimensional differential gel electrophoresis followed by ESI-MS/MS identification. Moreover isotope-coded affinity tag technology coupled with two-dimensional LC-MS/MS were also applied to the differential proteins of infected cells. By combining these two complementary strategies, 355 unique proteins were identified and quantitated with 186 of them differentially expressed (at least 1.5-fold quantitative alteration) between infected and uninfected Vero E6 cells. The implication for cellular responses to virus infection was analyzed in depth according to the proteomic results. Thus, the present work provides large scale protein-related information to investigate the mechanism of SARS-CoV infection and pathogenesis.

Amino Acid Sequence↗

Numerical approaches for quantitative analysis of two-dimensional maps: a review of commercial software and home-made systems.

The present review attempts to cover a number of methods that have appeared in the last few years for performing quantitative proteome analysis. However, due to the large number of methods described for both electrophoretic and chromatographic approaches, we have limited this review to conventional two-dimensional (2-D) map analysis which couples orthogonally a charge-based step (isoelectric focusing) to a size-based separation step (sodium dodecyl sulfate-electrophoresis). The first and oldest method applied to 2-D map data reduction is based on statistical analysis performed on sets of gels via powerful software packages, such as Melanie, PDQuest, Z3 and Z4000, Phoretix and Progenesis. This method calls for separately running a number of replicas for control and treated samples. The two sets of data are then merged and compared via a number of software packages which we describe. In addition to commercially-available systems, a number of home made approaches for 2-D map comparison have been recently described and are also reviewed. They are based on fuzzyfication of the digitized 2-D gel image coupled to linear discriminant analysis, three-way principal component analysis or a combination of principal component analysis and soft-independent modeling of class analogy. These statistical tools appear to perform well in differential proteomic studies.

Cluster Analysis↗

Rediscovering the sweet spot in drug discovery.

Advances over the past decade in drug discovery technologies have not yet led to an increase in productivity. We analyzed the reasons that have led to this juncture and identify the selection of the right target and the right lead as crucial. New approaches are required to take full advantage of the genomics revolution. For targets, methods are becoming available for high-throughput proteome analysis and pathway characterization that synergize with studies of disease association and differential expression. For leads, methods are being developed that 'reverse' the high-throughput screening paradigm by mapping drugs and drug-like compounds back onto the proteome. The synergy between pathway mapping and compound mapping could allow the pharmaceutical and biotechnology industries to rediscover the sweet spot of research productivity.

Biotechnology↗