Monocyte Transcriptional Responses to Mycobacterium tuberculosis Associate with Resistance to Tuberculin Skin Test and Interferon Gamma Release Assay Conversion.

Heavy exposure to Mycobacterium tuberculosis, the etiologic agent of tuberculosis (TB) and among the top infectious killers worldwide, results in infection that is cleared, contained, or progresses to disease. Some heavily exposed tuberculosis contacts show no evidence of infection using the tuberculin skin test (TST) and interferon gamma release assay (IGRA); yet the mechanisms underlying this "resister" (RSTR) phenotype are unclear. To identify transcriptional responses that distinguish RSTR monocytes, we performed transcriptome sequencing (RNA-seq) on monocytes isolated from heavily exposed household contacts in Uganda and gold miners in South Africa after ex vivo M. tuberculosis infection. Gene set enrichment analysis (GSEA) revealed several gene pathways that were consistently enriched in response to M. tuberculosis among RSTR subjects compared to controls with positive TST/IGRA testing (latent TB infection [LTBI]) across Uganda and South Africa. The most significantly enriched gene set in which expression was increased in RSTR relative to LTBI M. tuberculosis-infected monocytes was the tumor necrosis factor alpha (TNF-α) signaling pathway whose core enrichment (leading edge) substantially overlapped across RSTR populations. These leading-edge genes included candidate resistance genes (ABCA1 and DUSP2) with significantly increased expression among Uganda RSTRs (false-discovery rate [FDR], <0.1). The distinct monocyte transcriptional response to M. tuberculosis among RSTR subjects, including increased expression of the TNF signaling pathway, highlights genes and inflammatory pathways that may mediate resistance to TST/IGRA conversion and provides therapeutic targets to enhance host restriction of M. tuberculosis intracellular infection. IMPORTANCE After heavy M. tuberculosis exposure, the events that determine why some individuals resist TST/IGRA conversion are poorly defined. Enrichment of the TNF signaling gene set among RSTR monocytes from multiple distinct cohorts suggests an important role for the monocyte TNF response in determining this alternative immune outcome. These TNF responses to M. tuberculosis among RSTRs may contribute to antimicrobial programs that result in early clearance or the priming of alternative (gamma interferon-independent) cellular responses.

Monocyte metabolic transcriptional programs associate with resistance to tuberculin skin test/interferon-γ release assay conversion.

After extensive exposure to Mycobacterium tuberculosis (Mtb), most individuals acquire latent Mtb infection (LTBI) defined by a positive tuberculin skin test (TST) or interferon-γ release assay (IGRA). To identify mechanisms of resistance to Mtb infection, we compared transcriptional profiles from highly exposed contacts who resist TST/IGRA conversion (resisters, RSTRs) and controls with LTBI using RNAseq. Gene sets related to carbon metabolism and free fatty acid (FFA) transcriptional responses enriched across 2 independent cohorts suggesting RSTR and LTBI monocytes have distinct activation states. We compared intracellular Mtb replication in macrophages treated with FFAs and found that palmitic acid (PA), but not oleic acid (OA), enhanced Mtb intracellular growth. This PA activity correlated with its inhibition of proinflammatory cytokines in Mtb-infected cells. Mtb growth restriction in PA-treated macrophages was restored by activation of AMP kinase (AMPK), a central host metabolic regulator known to be inhibited by PA. Finally, we genotyped AMPK variants and found 7 SNPs in PRKAG2, which encodes the AMPK-γ subunit, that strongly associated with RSTR status. Taken together, RSTR and LTBI phenotypes are distinguished by FFA transcriptional programs and by genetic variation in a central metabolic regulator, which suggests immunometabolic pathways regulate TST/IGRA conversion.

Two-Dimensional Difference Gel Electrophoresis.

Two-dimensional difference gel electrophoresis (2D DIGE) is a modified form of 2D electrophoresis (2D E) that allows one to compare two or three protein samples simultaneously on the same gel. The proteins in each sample are covalently tagged with different color fluorescent dyes that are designed to have no effect on the relative migration of proteins during electrophoresis. Proteins that are common to the samples appear as "spots" with a fixed ratio of fluorescent signals, whereas proteins that differ between the samples have different fluorescence ratios. With conventional imaging systems, DIGE is capable of reliably detecting as little as 0.2 fmol of protein, and protein differences down to ± 15%, over a ~10,000-fold protein concentration range. DIGE combined with digital image analysis therefore greatly improves the statistical assessment of proteome variation. Here we describe a protocol for conducting DIGE experiments, which takes 2-3 days to complete. We have further improved upon 2D DIGE by introducing in-gel equilibration to improve protein retention during transfer between the first and second dimensions of electrophoresis and by developing a fluorescent gel imaging system with a millionfold dynamic range.

Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations.

Phase contrast time-lapse microscopy is a non-destructive technique that generates large volumes of image-based information to quantify the behaviour of individual cells or cell populations. To guide the development of algorithms for computer-aided cell tracking and analysis, 48 time-lapse image sequences, each spanning approximately 3.5 days, were generated with accompanying ground truths for C2C12 myoblast cells cultured under 4 different media conditions, including with fibroblast growth factor 2 (FGF2), bone morphogenetic protein 2 (BMP2), FGF2 + BMP2, and control (no growth factor). The ground truths generated contain information for tracking at least 3 parent cells and their descendants within these datasets and were validated using a two-tier system of manual curation. This comprehensive, validated dataset will be useful in advancing the development of computer-aided cell tracking algorithms and function as a benchmark, providing an invaluable opportunity to deepen our understanding of individual and population-based cell dynamics for biomedical research.

In-gel equilibration for improved protein retention in 2DE-based proteomic workflows.

The 2DE is a powerful proteomic technique, with excellent protein separation capabilities where intact proteins are spatially separated by pI and molecular weight. 2DE is commonly used in conjunction with MS to identify proteins of interest. Current 2DE workflow requires several manual processing steps that can lead to experimental variability and sample loss. One such step is the transition between first dimension IEF and second-dimension SDS-PAGE, which requires exchanging denaturants and the reduction and alkylation of proteins. This in-solution-based equilibration step has been shown to be rather inefficient, losing up to 30% of the original starting material through diffusion effects. We have developed a refinement of this equilibration step using agarose stacking gels poured on top of the second-dimension SDS-PAGE gel, referred to as in-gel equilibration. We show that in-gel equilibration is effective at reduction and alkylation in SDS-PAGE gels. Quantification of whole-cell extracts separated on 2DE gels shows that in-gel equilibration increases protein retention, decreased intergel variability, and simplifies 2DE workflow.

High dynamic range proteome imaging with the structured illumination gel imager.

A current challenge for proteomics is detecting proteins over the large concentration ranges found in complex biological samples such as whole-cell extracts. Currently, no unbiased, whole-proteome analysis scheme is capable of detecting the full range of cellular proteins. This is due in part to the limited dynamic range of the detectors used to sense proteins or peptides. We present a new technology, structured illumination (SI) gel imager, which detects fluorescently labeled proteins in electrophoretic gels over a 1 000 000-fold concentration range. SI uses computer-generated masks to attenuate the illumination of highly abundant proteins, allowing for long exposures of low-abundance proteins, thus avoiding detector saturation. A series of progressively masked gel images are assembled into a single, very high dynamic range image. We demonstrate that the SI imager can detect proteins over a concentration range of approximately 1 000 000-fold, making it a useful tool for comprehensive, unbiased proteome-wide surveys.

Influenza virus infection elicits protective antibodies and T cells specific for host cell antigens also expressed as tumor-associated antigens: a new view of cancer immunosurveillance.

Most tumor-associated antigens (TAA) are self-molecules that are abnormally expressed in cancer cells and become targets of antitumor immune responses. Antibodies and T cells specific for some TAAs have been found in healthy individuals and are associated with lowered lifetime risk for developing cancer. Lower risk for cancer has also been associated with a history of febrile viral diseases. We hypothesized that virus infections could lead to transient expression of abnormal forms of self-molecules, some of which are TAAs; facilitated by the adjuvant effects of infection and inflammation, these molecules could elicit specific antibodies, T cells, and lasting immune memory simultaneously with immunity against viral antigens. Such infection-induced immune memory for TAA would be expected to provide life-long immune surveillance of cancer. Using influenza virus infection in mice as a model system, we tested this hypothesis and demonstrated that influenza-experienced mice control 3LL mouse lung tumor challenge better than infection-naive control mice. Using 2D-difference gel electrophoresis and mass spectrometry, we identified numerous molecules, some of which are known TAAs, on the 3LL tumor cells recognized by antibodies elicited by two successive influenza infections. We studied in detail immune responses against glyceraldehyde-3-phosphate dehydrogenase (GAPDH), histone H4, HSP90, malate dehydrogenase 2, and annexin A2, all of which were overexpressed in influenza-infected lungs and in tumor cells. Finally, we show that immune responses generated through vaccination against peptides derived from these antigens correlated with improved tumor control.

Coordination of frontline defense mechanisms under severe oxidative stress.

Complexity of cellular response to oxidative stress (OS) stems from its wide-ranging damage to nucleic acids, proteins, carbohydrates, and lipids. We have constructed a systems model of OS response (OSR) for Halobacterium salinarum NRC-1 in an attempt to understand the architecture of its regulatory network that coordinates this complex response. This has revealed a multi-tiered OS-management program to transcriptionally coordinate three peroxidase/catalase enzymes, two superoxide dismutases, production of rhodopsins, carotenoids and gas vesicles, metal trafficking, and various other aspects of metabolism. Through experimental validation of interactions within the OSR regulatory network, we show that despite their inability to directly sense reactive oxygen species, general transcription factors have an important function in coordinating this response. Remarkably, a significant fraction of this OSR was accurately recapitulated by a model that was earlier constructed from cellular responses to diverse environmental perturbations--this constitutes the general stress response component. Notwithstanding this observation, comparison of the two models has identified the coordination of frontline defense and repair systems by regulatory mechanisms that are triggered uniquely by severe OS and not by other environmental stressors, including sub-inhibitory levels of redox-active metals, extreme changes in oxygen tension, and a sub-lethal dose of gamma rays.

Prevalence of transcription promoters within archaeal operons and coding sequences.

Despite the knowledge of complex prokaryotic-transcription mechanisms, generalized rules, such as the simplified organization of genes into operons with well-defined promoters and terminators, have had a significant role in systems analysis of regulatory logic in both bacteria and archaea. Here, we have investigated the prevalence of alternate regulatory mechanisms through genome-wide characterization of transcript structures of approximately 64% of all genes, including putative non-coding RNAs in Halobacterium salinarum NRC-1. Our integrative analysis of transcriptome dynamics and protein-DNA interaction data sets showed widespread environment-dependent modulation of operon architectures, transcription initiation and termination inside coding sequences, and extensive overlap in 3' ends of transcripts for many convergently transcribed genes. A significant fraction of these alternate transcriptional events correlate to binding locations of 11 transcription factors and regulators (TFs) inside operons and annotated genes-events usually considered spurious or non-functional. Using experimental validation, we illustrate the prevalence of overlapping genomic signals in archaeal transcription, casting doubt on the general perception of rigid boundaries between coding sequences and regulatory elements.

Halobacterium salinarum NRC-1 PeptideAtlas: toward strategies for targeted proteomics and improved proteome coverage.

The relatively small numbers of proteins and fewer possible post-translational modifications in microbes provide a unique opportunity to comprehensively characterize their dynamic proteomes. We have constructed a PeptideAtlas (PA) covering 62.7% of the predicted proteome of the extremely halophilic archaeon Halobacterium salinarum NRC-1 by compiling approximately 636 000 tandem mass spectra from 497 mass spectrometry runs in 88 experiments. Analysis of the PA with respect to biophysical properties of constituent peptides, functional properties of parent proteins of detected peptides, and performance of different mass spectrometry approaches has highlighted plausible strategies for improving proteome coverage and selecting signature peptides for targeted proteomics. Notably, discovery of a significant correlation between absolute abundances of mRNAs and proteins has helped identify low abundance of proteins as the major limitation in peptide detection. Furthermore, we have discovered that iTRAQ labeling for quantitative proteomic analysis introduces a significant bias in peptide detection by mass spectrometry. Therefore, despite identifying at least one proteotypic peptide for almost all proteins in the PA, a context-dependent selection of proteotypic peptides appears to be the most effective approach for targeted proteomics.

The anatomy of microbial cell state transitions in response to oxygen.

Adjustment of physiology in response to changes in oxygen availability is critical for the survival of all organisms. However, the chronology of events and the regulatory processes that determine how and when changes in environmental oxygen tension result in an appropriate cellular response is not well understood at a systems level. Therefore, transcriptome, proteome, ATP, and growth changes were analyzed in a halophilic archaeon to generate a temporal model that describes the cellular events that drive the transition between the organism's two opposing cell states of anoxic quiescence and aerobic growth. According to this model, upon oxygen influx, an initial burst of protein synthesis precedes ATP and transcription induction, rapidly driving the cell out of anoxic quiescence, culminating in the resumption of growth. This model also suggests that quiescent cells appear to remain actively poised for energy production from a variety of different sources. Dynamic temporal analysis of relationships between transcription and translation of key genes suggests several important mechanisms for cellular sustenance under anoxia as well as specific instances of post-transcriptional regulation.