Immunological memory within the innate immune system

Immune memory has traditionally been the domain of the adaptive immune system, present only in antigen‐specific T and B cells. The purpose of this review is to summarize the evidence for immunological memory in lower organisms (which are not thought to possess adaptive immunity) and within specific cell subsets of the innate immune system. A special focus will be given to recent findings in both mouse and humans for specificity and memory in natural killer (NK) cells, which have resided under the umbrella of innate immunity for decades. The surprising longevity and enhanced responses of previously primed NK cells will be discussed in the context of several immunization settings.     

Kidney cancer mortality and ionizing radiation among French and German uranium miners

The investigation of potential adverse health effects of occupational exposures to ionizing radiation, on uranium miners, is an important area of research. Radon is a well-known carcinogen for lung, but the link between radiation exposure and other diseases remains controversial, particularly for kidney cancer. The aims of this study were therefore to perform external kidney cancer mortality analyses and to assess the relationship between occupational radiation exposure and kidney cancer mortality, using competing risks methodology, from two uranium miners cohorts. The French (n = 3,377) and German (n = 58,986) cohorts of uranium miners included 11 and 174 deaths from kidney cancer. For each cohort, the excess of kidney cancer mortality has been assessed by standardized mortality ratio (SMR) corrected for the probability of known causes of death. The associations between cumulative occupational radiation exposures (radon, external gamma radiation and long-lived radionuclides) or kidney equivalent doses and both the cause-specific hazard and the probability of occurrence of kidney cancer death have been estimated with Cox and Fine and Gray models adjusted to date of birth and considering the attained age as the timescale. No significant excess of kidney cancer mortality has been observed neither in the French cohort (SMR = 1.49, 95 % confidence interval [0.73; 2.67]) nor in the German cohort (SMR = 0.91 [0.77; 1.06]). Moreover, no significant association between kidney cancer mortality and any type of occupational radiation exposure or kidney equivalent dose has been observed. Future analyses based on further follow-up updates and/or large pooled cohorts should allow us to confirm or not the absence of association.     

Graph analysis of functional brain networks: practical issues in translational neuroscience

The brain can be regarded as a network: a connected system where nodes, or units, represent different specialized regions and links, or connections, represent communication pathways. From a functional perspective, communication is coded by temporal dependence between the activities of different brain areas. In the last decade, the abstract representation of the brain as a graph has allowed to visualize functional brain networks and describe their non-trivial topological properties in a compact and objective way. Nowadays, the use of graph analysis in translational neuroscience has become essential to quantify brain dysfunctions in terms of aberrant reconfiguration of functional brain networks. Despite its evident impact, graph analysis of functional brain networks is not a simple toolbox that can be blindly applied to brain signals. On the one hand, it requires the know-how of all the methodological steps of the pipeline that manipulate the input brain signals and extract the functional network properties. On the other hand, knowledge of the neural phenomenon under study is required to perform physiologically relevant analysis. The aim of this review is to provide practical indications to make sense of brain network analysis and contrast counterproductive attitudes.     

Arabidopsis PECTIN METHYLESTERASE17 is co-expressed with and processed by SBT3.5, a subtilisin-like serine protease

Background and Aims

In Arabidopsis thaliana, the degree of methylesterification (DM) of homogalacturonans (HGs), the main pectic constituent of the cell wall, can be modified by pectin methylesterases (PMEs). In all organisms, two types of protein structure have been reported for PMEs: group 1 and group 2. In group 2 PMEs, the active part (PME domain, Pfam01095) is preceded by an N-terminal extension (PRO part), which shows similarities to PME inhibitors (PMEI domain, Pfam04043). This PRO part mediates retention of unprocessed group 2 PMEs in the Golgi apparatus, thus regulating PME activity through a post-translational mechanism. This study investigated the roles of a subtilisin-type serine protease (SBT) in the processing of a PME isoform.

Methods

Using a combination of functional genomics, biochemistry and proteomic approaches, the role of a specific SBT in the processing of a group 2 PME was assessed together with its consequences for plant development.

Key Results

A group 2 PME, AtPME17 (At2g45220), was identified, which was highly co-expressed, both spatially and temporally, with AtSBT3.5 (At1g32940), a subtilisin-type serine protease (subtilase, SBT), during root development. PME activity was modified in roots of knockout mutants for both proteins with consequent effects on root growth. This suggested a role for SBT3.5 in the processing of PME17 in planta. Using transient expression in Nicotiana benthamiana, it was indeed shown that SBT3.5 can process PME17 at a specific single processing motif, releasing a mature isoform in the apoplasm.

Conclusions

By revealing the potential role of SBT3.5 in the processing of PME17, this study brings new evidence of the complexity of the regulation of PMEs in plants, and highlights the need for identifying specific PME–SBT pairs.     

A Novel Immuno-Competitive Capture Mass Spectrometry Strategy for Protein–Protein Interaction Profiling Reveals That LATS Kinases Regulate HCV Replication Through NS5A Phosphorylation*

Mapping protein–protein interactions is essential to fully characterize the biological function of a protein and improve our understanding of diseases. Affinity purification coupled to mass spectrometry (AP-MS) using selective antibodies against a target protein has been commonly applied to study protein complexes. However, one major limitation is a lack of specificity as a substantial part of the proposed binders is due to nonspecific interactions. Here, we describe an innovative immuno-competitive capture mass spectrometry (ICC-MS) method to allow systematic investigation of protein–protein interactions. ICC-MS markedly increases the specificity of classical immunoprecipitation (IP) by introducing a competition step between free and capturing antibody prior to IP. Instead of comparing only one experimental sample with a control, the methodology generates a 12-concentration antibody competition profile. Label-free quantitation followed by a robust statistical analysis of the data is then used to extract the cellular interactome of a protein of interest and to filter out background proteins. We applied this new approach to specifically map the interactome of hepatitis C virus (HCV) nonstructural protein 5A (NS5A) in a cellular HCV replication system and uncovered eight new NS5A-interacting protein candidates along with two previously validated binding partners. Follow-up biological validation experiments revealed that large tumor suppressor homolog 1 and 2 (LATS1 and LATS2, respectively), two closely related human protein kinases, are novel host kinases responsible for NS5A phosphorylation at a highly conserved position required for optimal HCV genome replication. These results are the first illustration of the value of ICC-MS for the analysis of endogenous protein complexes to identify biologically relevant protein–protein interactions with high specificity.The exploration of a protein''s interactome in a given biological system is often critical to understand its function. Since the introduction of yeast two-hybrid experiments, alternative methods to explore protein–protein interactions have emerged (1–3). In particular, the combination of affinity-purification with mass spectrometry (AP-MS)¹ (4) has shown great promise for the identification of protein complexes directly in mammalian cell lines (5). This approach typically involves capturing the protein of interest either through an epitope tag or using a selective antibody. The main challenge with AP-MS is to discern bona fide interactors from highly abundant cellular proteins e.g. cytoskeletal or ribosomal proteins that bind nonspecifically to the affinity matrix (6). This can be partially addressed by including a negative control, such as IP with an antibody of the same isotype against an irrelevant protein or using samples where the target protein is absent (4). More recently, the introduction of quantitative MS (7–9), involving either isotope labeling or label-free strategies (for a review see (9, 10)), have led to a better distinction between true and false-positive interactions. While most of the recent efforts to reduce false positive rates have concentrated on refining data analysis (11), very few attempts have been made to improve the selectivity at the IP step (12). Consequently, classical quantitative side-by-side comparison of a sample with its control (wild type versus knockout cell lysates or capturing antibody versus control isotype) still suffers from the fact that the control sample is not identical to the probed one and both samples can lead to the association of different nonspecific binders.In this study, we present an innovative approach, termed immuno-competitive capture MS (ICC-MS), which involves a competition step between free and bound antibody in the same cellular extract and quantitation using label-free MS. Instead of comparing only one IP with a control, the methodology generates a 12-concentration antibody competition profile. Combined with a robust statistical analysis of the quantified MS signals, the cellular endogenous interactome of a protein of interest can be extracted out of the background of hundreds of proteins. We used this new approach to specifically map the interactome of the HCV NS5A protein, an essential viral regulatory protein for both genome replication and modulation of the host environment (13). Proteins interacting with NS5A have been previously identified using yeast two-hybrid (14) or classical co-expression and co-immunoprecipitation methods (15). In this study, we use a human hepatocyte-derived cellular model of HCV genome replication and uncover eight new NS5A-interacting protein candidates in addition to other well-known partners. In particular, we highlight LATS1 and LATS2, two closely related human serine/threonine protein kinases, and demonstrate that they are new host kinases responsible for NS5A phosphorylation and optimal HCV replication.