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The paper examines the introduction and implementation of investor obligations that are capable of redressing the imbalance attributed to international investment law. After investment law was seen as a positive instrument for protecting investors‘ rights and attracting investment, a rethinking has taken place in the last decade. The analysis of case law in this context shows that arbitral tribunals are increasingly taking investor obligations into account, but in some cases still inconsistently. At the same time, the paper sheds light on the approaches that could be used to integrate investor obligations.

The epigenome and transcriptome constitute a critical element of a tightly regulated, cell-type specific gene expression program, and subtle perturbations in the regulation of this program can result in pathology. Epigenetic features such as DNA accessibility dictate transcriptional regulation in a cell type- and cell state- specific manner, and mapping this in health vs. disease in clinically relevant material is opening the door to new mechanistic insights and new targets for therapy. Assay for Transposase Accessible Chromatin Sequencing (ATAC-seq) allows profiling of chromatin accessibility with low cell input, making it amenable to the clinical setting, such as peripheral blood from clinical trials, and this makes it applicable to rare cell populations, such as regulatory T (Treg) cells. However, there is little known about the compatibility of the assay on materials recovered from cryopreserved rare cell populations. In the context of tolerance or autoimmunity, regulatory T cells play a critical role in maintaining immune homeostasis, and loss of numbers or function is linked to many diseases, making them a clinically relevant population to analyse using genomic platforms. Here we demonstrate the robustness and reproducibility of an ATAC-seq protocol comparing fresh or cryopreserved primary Treg cells, and comparing their profile in the steady state and in response to stimulation. We extend this method to explore the feasibility of conducting simultaneous quantitation of chromatin accessibility and transcriptome from a single aliquot of 50,000 Treg cells from cryopreserved PBMCs. Profiling of chromatin accessibility and gene expression in parallel within the same pool of cells controls for cellular heterogeneity and will be particularly beneficial for experiments constrained by limited input material, such as biobanked PBMC from clinical trials. This approach will be complementary to single-cell experiments as libraries used to profile chromatin accessibility and transcriptome are derived from the same population of cells, controlling for stochastic gene fluctuation in different cells in a population at any given time. Overall, we observed a high correlation of accessibility patterns and transcription factor (TF) dynamics between fresh Treg cells and cells recovered from cryopreservation samples. The distribution of fragment size, enrichment of transcription start sites (TSS) and genomic features of thawed Treg cells recapitulate that of the fresh cells. Furthermore, highly consistent global chromatin and transcriptional changes in response to stimulation were observed in both fresh and frozen samples. Lastly, highly similar transcriptomic profiles were obtained from whole cells and from the supernatants recovered from ATAC-seq reactions. This report highlights the feasibility of applying these techniques to profile the epigenomic landscape of cells recovered from cryopreservation biorepositories. Implementation of this approach is suitable in biorepositories and will contribute to advances in the field of translational research and personalized medicine.

Monocyte-derived and tissue-resident macrophages are ontogenetically distinct components of the innate immune system. Assessment of their respective functions in pathology is complicated by changes to the macrophage phenotype during inflammation. Here, we find that Cxcr4-CreER enables permanent genetic labeling of hematopoietic stem cells (HSCs) and distinguishes HSC-derived monocytes from microglia and other tissue-resident macrophages. By combining Cxcr4-CreER-mediated lineage tracing with Cxcr4 inhibition or conditional Cxcr4 ablation in photothrombotic stroke, we find that Cxcr4 promotes initial monocyte infiltration and subsequent territorial restriction of monocyte-derived macrophages to infarct tissue. After transient focal ischemia, Cxcr4-deficiency reduces monocyte infiltration and blunts the expression of pattern recognition and defense response genes in monocyte-derived macrophages. This is associated with an altered microglial response and deteriorated outcomes. Thus, Cxcr4 is essential for an innate immune-system-mediated defense response after cerebral ischemia. We further propose Cxcr4-CreER as a universal tool to study functions of HSC-derived cells.

Macrophages are the principal immune cells of the epididymis and testis, but their origins, heterogeneity, development, and maintenance are not well understood. Here, we describe distinct populations of epididymal and testicular macrophages that display an organ-specific cellular identity. Combining in vivo fate-mapping, chimeric and parabiotic mouse models with in-depth cellular analyses, we found that CD64(hi)MHCII(lo) and CD64(lo)MHCII(hi) macrophage populations of epididymis and testis arise sequentially from yolk sac erythro-myeloid progenitors, embryonic hematopoiesis, and nascent neonatal monocytes. While monocytes were the major developmental source of both epididymal and testicular macrophages, both populations self-maintain in the steady-state independent of bone marrow hematopoietic precursors. However, after radiation-induced macrophage ablation or during infection, bone marrow-derived circulating monocytes are recruited to the epididymis and testis, giving rise to inflammatory macrophages that promote tissue damage. These results define the layered ontogeny, maintenance and inflammatory response of macrophage populations in the male reproductive organs.

Summary Induction of trained immunity by Bacille-Calmette-Guérin (BCG) vaccination mediates beneficial heterologous effects, but the mechanisms underlying its persistence and magnitude remain elusive. In this study, we show that BCG vaccination in healthy human volunteers induces a persistent transcriptional program connected to myeloid cell development and function within the hematopoietic stem and progenitor cell (HSPC) compartment in the bone marrow. We identify hepatic nuclear factor (HNF) family members 1a and b as crucial regulators of this transcriptional shift. These findings are corroborated by higher granulocyte numbers in BCG-vaccinated infants, HNF1 SNP variants that correlate with trained immunity, and elevated serum concentrations of the HNF1 target alpha-1 antitrypsin. Additionally, transcriptomic HSPC remodeling was epigenetically conveyed to peripheral CD14+ monocytes, displaying an activated transcriptional signature three months after BCG vaccination. Taken together, transcriptomic, epigenomic, and functional reprogramming of HSPCs and peripheral monocytes is a hallmark of BCG-induced trained immunity in humans., Graphical Abstract, Highlights • Human BCG vaccination induces a persistent innate immune training of CD14+ monocytes • BCG vaccination imprints a persistent transcriptomic myeloid bias on human HSPCs • Hepatic nuclear factors are regulators of BCG-induced trained immunity in HSPCs • BCG induces persistent epigenetic changes in peripheral CD14+ monocytes, Cirovic and de Bree et al. investigate the effects of BCG vaccination in humans and reveal the induction of a transcriptomic rewiring of human stem and progenitor cells toward the myeloid cell lineage, instructed by hepatic nuclear factors, resulting in epigenetic and functional changes within CD14+ peripheral monocytes.

Next generation sequencing (NGS) is the driving force behind precision medicine and is revolutionizing most, if not all, areas of the life sciences. Particularly when targeting the major common diseases, an exponential growth of NGS data is foreseen for the next decades. This enormous increase of NGS data and the need to process the data quickly for real-world applications requires to rethink our current compute infrastructures. Here we provide evidence that memory-driven computing (MDC), a novel memory-centric hardware architecture, is an attractive alternative to current processor-centric compute infrastructures. To illustrate how MDC can change NGS data handling, we used RNA-seq assembly and pseudoalignment followed by quantification as two first examples. Adapting transcriptome assembly pipelines for MDC reduced compute time by 5.9-fold for the first step (SAMtools). Even more impressive, pseudoalignment by near-optimal probabilistic RNA-seq quantification (kallisto) was accelerated by more than two orders of magnitude with identical accuracy and indicated 66% reduced energy consumption. One billion RNA-seq reads were processed in just 92 seconds. Clearly, MDC simultaneously reduces data processing time and energy consumption. Together with the MDC-inherent solutions for local data privacy, a new compute model can be projected pushing large scale NGS data processing and primary data analytics closer to the edge by directly combining high-end sequencers with local MDC, thereby also reducing movement of large raw data to central cloud storage. We further envision that other data-rich areas will similarly benefit from this new memory-centric compute architecture.

Induction of trained immunity by Bacille-Calmette-Guerin (BCG) vaccination mediates beneficial heterologous effects, but the underlying mechanisms regulating the longevity and magnitude of such effects remain elusive. We show that BCG vaccination in humans induces the long-lasting activation of a transcriptional program connected to myeloid cell development and function within the hematopoietic stem and progenitor cell compartment in the bone marrow. As crucial regulators of this transcriptional shift we identify hepatic nuclear factor family members 1a and b. These findings are corroborated by higher granulocyte numbers in BCG- vaccinated infants, HNF1 SNP variants correlating with trained immunity, and elevated serum concentrations of the HNF1 target gene SERPINA1. In addition, transcriptomic HSPC remodelling was epigenetically conveyed to peripheral CD14+ monocytes, displaying an activated transcriptional signature 3 months after BCG vaccination. Taken together, transcriptomic, epigenomic and functional reprogramming of HSPCs and peripheral monocytes is pivotal in human in vivo BCG-induced trained immunity.

Tumor-associated macrophages (TAMs) are frequently the most abundant immune cells in murine and human cancers and are associated with poor survival. Here we generated TAM molecular signatures from K14cre;Cdh1flox/flox;Trp53flox/flox (KEP) and MMTV-NeuT (NeuT) transgenic mice which resemble human invasive lobular carcinoma (ILC) and HER2+ tumors, respectively. Determination of TAM-specific signatures in breast cancer required relationship analysis with healthy mammary tissue macrophages, since comparison with other macrophage populations overestimated TAM-specific gene expression. TAMs from the two models featured a distinct transcriptomic profile and KEP-derived signatures reliably predicted outcome in ILC patients, indicating that translation of murine TAM signatures to patients warrants consideration of the cancer subtype. Collectively, we show that a transgenic mouse tumor model can be utilized to derive a TAM signature for human breast cancer outcome prediction and we provide a generalizable strategy for determining and applying immune cell signatures provided the murine model reflects the human disease.

Acute Myeloid Leukemia (AML) is a severe, mostly fatal hematopoietic malignancy. Despite nearly two decades of promising results using gene expression profiling, international recommendations for diagnosis and differential diagnosis of AML remain based on classical approaches including assessment of morphology, immunophenotyping, cytochemistry, and cytogenetics. Concerns about the translation of whole transcriptome profiling include the robustness of derived predictors when taking into account factors such as study- and site-specific effects and whether achievable levels of accuracy are sufficient for practical use. In the present study, we sought to shed light on these issues via a large-scale analysis using machine learning methods applied to a total of 12,029 samples from 105 different studies. Taking advantage of the breadth of data and the now much improved understanding of high-dimensional modeling, we show that AML can be predicted with high accuracy. High-dimensional approaches - in which multivariate signatures are learned directly from genome-wide data with no prior biological knowledge - are highly effective and robust. We explore also the relationship between predictive signatures, differential expression and known AML-related genes. Taken together, our results support the notion that transcriptome assessment could be used as part of an integrated genomic approach in cancer diagnosis and treatment to be implemented early on for diagnosis and differential diagnosis of AML.One Sentence SummaryBlood gene expression data and machine learning were used to develop robust and accurate classifiers for diagnosis and differential diagnosis of acute myeloid leukemia based on analysis of more than 12,000 samples derived from more than 100 individual studies

Cytokines and IFNs downstream of innate immune pathways are critical for mounting an appropriate immune response to microbial infection. However, the expression of these inflammatory mediators is tightly regulated, as uncontrolled production can result in tissue damage and lead to chronic inflammatory conditions and autoimmune diseases. Activating transcription factor 3 (ATF3) is an important transcriptional modulator that limits the inflammatory response by controlling the expression of a number of cytokines and chemokines. However, its role in modulating IFN responses remains poorly defined. In this study, we demonstrate that ATF3 expression in macrophages is necessary for governing basal IFN-β expression, as well as the magnitude of IFN-β cytokine production following activation of innate immune receptors. We found that ATF3 acted as a transcriptional repressor and regulated IFN-β via direct binding to a previously unidentified specific regulatory site distal to the Ifnb1 promoter. Additionally, we observed that ATF3 itself is a type I IFN–inducible gene, and that ATF3 further modulates the expression of a subset of inflammatory genes downstream of IFN signaling, suggesting it constitutes a key component of an IFN negative feedback loop. Consistent with this, macrophages deficient in Atf3 showed enhanced viral clearance in lymphocytic choriomeningitis virus and vesicular stomatitis virus infection models. Our study therefore demonstrates an important role for ATF3 in modulating IFN responses in macrophages by controlling basal and inducible levels of IFNβ, as well as the expression of genes downstream of IFN signaling.

The clinical and therapeutic value of humanin vitrogenerated monocyte-derived dendritic cell (moDC) and macrophages is well established. However, in line with recent findings regarding myeloid cell ontogeny and due to our limited understanding of their physiological counterparts, transcriptional regulation and heterogeneity, the full potential of these important cellular systems is still underestimated.In this study, we use cutting edge high-dimensional analysis methods to better understand the transcriptional organization, phenotypic heterogeneity and functional differences between humanex vivoisolated andin vitrogenerated mononuclear phagocytes with the aim to better realize their full potential in the clinic.We demonstrate that human monocytes activated by MCSF or GMCSF most closely resemble inflammatory macrophages identifiedin vivo, while IL4 signalling in the presence of GMCSF generates moDCs resembling inflammatory DCsin vivo, but not steady state cDC1 or cDC2. Moreover, these reprogramming regimes lead to activated monocytes that present with profoundly different transcriptomic, metabolic, phenotypic and functional profiles. Furthermore, we demonstrate that CD14+monocytes are integrating multiple exogenous activation signals such as GMCSF and IL4 in a combinatorial and temporal fashion, resulting in a high-dimensional cellular continuum of reprogrammed monocytes dependent on the mode and timing of cytokine exposure. Utilizing nanostraw-based knockdown technology, we demonstrate that the IL4-dependent generation of moDCs relies on the induction, nuclear localization and function of the transcriptional regulator NCOR2.Finally, we unravel unappreciated heterogeneity within the clinically moDCs population and propose a novel high-dimensional phenotyping strategy to better tailor clinical quality control strategies for patient need and culture conditions to enhance therapeutic outcome.

Cellular phenotyping, in particular immune cell phenotyping, has become an integral part of personalized and stratified medicine approaches in order to facilitate classification of patient cohorts according to proteomic, transcriptomic or genomic information, with the ultimate goal to increase treatment efficiency and outcome. However, choosing the optimal and most informative phenotyping approach to discover novel and predictive biomarkers for patient cohorts has become a major challenge and greatly hampers knowledge gain to successfully develop and tailor new and existing therapies to suitable patient collectives [1]. Recent technological innovations, such as single-cell proteomics (Mass Cytometry) and single-cell transcriptomics have become available which possess the power to measure thousands of features for thousands to millions of cells in parallel, thereby allowing the deep characterization of complex cellular networks in homeostasis as well as perturbations under disease conditions [2]. These multidimensional approaches dramatically accelerate the discovery of novel biomarkers for disease prediction and progression within personalized medicine approaches. These approaches now allow for the characterization of small amounts of patient material both on the protein and on the transcriptome level to allow for an unbiased, high-dimensional, and bioinformatically supported systems biology approach which enables discovery, design and implementation of novel biomarkers into the clinical routine in a rapid fashion. In this review, we will discuss the available technologies and recent applications and scientific advances enabled by these technologies highlighting our view of how to integrate these technologies into translational research to achieve a more reliable, more rapid and better informed approach to molecular phenotyping ultimately achieving the level of knowledge needed to implement personalized medicine approaches for a wider patient base.

There is an enormous need to make better use of the ever increasing wealth of publicly available genomic information and to utilize the tremendous progress in computational approaches in the life sciences. Transcriptional regulation of protein-coding genes is a major mechanism of controlling cellular functions. However, the myriad of transcription factors potentially controlling transcription of any given gene makes it often difficult to quickly identify the biological relevant transcription factors. Here, we report on the identification of Hnf4a as a major transcription factor of the so far unstudied DnaJ heat shock protein family (Hsp40) member C22 (Dnajc22). We propose an approach utilizing recent advances in computational biology and the wealth of publicly available genomic information guiding the identification of potential transcription factor candidates together with wet-lab experiments validating computational models. More specifically, the combined use of co-expression analyses based on self-organizing maps with sequence-based transcription factor binding prediction led to the identification of Hnf4a as the potential transcriptional regulator for Dnajc22 which was further corroborated using publicly available datasets on Hnf4a. Following this procedure, we determined its functional binding site in the murine Dnajc22 locus using ChIP-qPCR and luciferase assays and verified this regulatory loop in fruitfly, zebrafish, and humans.

Chantier qualité GA; International audience; Legumes (Fabaceae or Leguminosae) are unique among cultivated plants for their ability to carry out endosymbiotic nitrogen fixation with rhizobial bacteria, a process that takes place in a specialized structure known as the nodule. Legumes belong to one of the two main groups of eurosids, the Fabidae, which includes most species capable of endosymbiotic nitrogen fixation1. Legumes comprise several evolutionary lineages derived from a common ancestor 60 million years ago (Myr ago). Papilionoids are the largest clade, dating nearly to the origin of legumes and containing most cultivated species2. Medicago truncatula is a long-established model for the study of legume biology. Here we describe the draft sequence of the M. truncatula euchromatin based on a recently completed BAC assembly supplemented with Illumina shotgun sequence, together capturing ~94% of all M. truncatula genes. A whole-genome duplication (WGD) approximately 58 Myr ago had a major role in shaping the M. truncatula genome and thereby contributed to the evolution of endosymbiotic nitrogen fixation. Subsequent to the WGD, the M. truncatula genome experienced higher levels of rearrangement than two other sequenced legumes, Glycine max and Lotus japonicus. M. truncatula is a close relative of alfalfa (Medicago sativa), a widely cultivated crop with limited genomics tools and complex autotetraploid genetics. As such, the M. truncatula genome sequence provides significant opportunities to expand alfalfa’s genomic toolbox.

Bacteriorhodopsin, the photosynthetic protein of Halobacterium salinarum, is optimally expressed under anaerobic growth conditions. We identified Brz (OE3104F, bacteriorhodopsin-regulating zinc finger protein), a new regulator of the bop gene. It is a small protein with a zinc finger motif, encoded directly upstream of the bop gene in the same orientation. Deletion of the brz gene caused a large decrease of bop mRNA levels as shown by Northern blot and microarray analysis. A similar effect was obtained by site-directed mutagenesis of Cys and His residues in the zinc finger motif, indicating the importance of this motif for the function of the protein. In silico analysis of the genomes from H. salinarum and other archaea revealed a large family of similar small zinc finger motif proteins, some of which may also be involved in transcription regulation of their adjacent genes.

Regulatory networks for differentiation and pluripotency in embryonic stem (ES) cells have long been suggested to be mutually exclusive. However, with the identification of many new components of these networks ranging from epigenetic, transcriptional and translational to even post-translational mechanisms, the cellular states of pluripotency and early differentiation might not be strictly bi-modal, but differentiating stem cells appear to go through phases of simultaneous expression of stemness and differentiation genes. Translational regulators such as RNA binding proteins (RBPs) and micro RNAs (miRNAs) might be prime candidates for guiding a cell from pluripotency to differentiation. Using Trim71, one of two members of the Tripartite motif (Trim) protein family with RNA binding activity expressed in murine ES cells, we demonstrate that Trim71 is not involved in regulatory networks of pluripotency but regulates neural differentiation. Loss of Trim71 in mES cells leaves stemness and self-maintenance of these cells intact, but many genes required for neural development are up-regulated at the same time. Concordantly, Trim71−/− mES show increased neural marker expression following treatment with retinoic acid. Our findings strongly suggest that Trim71 keeps priming steps of differentiation in check, which do not pre-require a loss of the pluripotency network in ES cells.

Long-term epigenetic reprogramming of innate immune cells in response to microbes, also termed "trained immunity,'' causes prolonged altered cellular functionality to protect from secondary infections. Here, we investigated whether sterile triggers of inflammation induce trained immunity and thereby influence innate immune responses. Western diet (WD) feeding of Ldlr(-/-) mice induced systemic inflammation, which was undetectable in serum soon after mice were shifted back to a chow diet (CD). In contrast, myeloid cell responses toward innate stimuli remained broadly augmented. WD-induced transcriptomic and epigenomic reprogramming of myeloid progenitor cells led to increased proliferation and enhanced innate immune responses. Quantitative trait locus (QTL) analysis in human monocytes trained with oxidized low-density lipoprotein (oxLDL) and stimulated with lipopolysaccharide (LPS) suggested inflammasome-mediated trained immunity. Consistently, Nlrp3(-/-)/Ldlr(-/-) mice lacked WD-induced systemic inflammation, myeloidprogenitor proliferation, and re-programming. Hence, NLRP3 mediates trained immunity following WD and could thereby mediate the potentially deleterious effects of trained immunity in inflammatory diseases.

The genus Natronomonas contains two species, one haloalkaliphile ( N. pharaonis ) and one neutrophile ( N. moolapensis ). Here, we report the genome sequence of N. moolapensis strain 8.8.11. The overall genome properties are similar for the two species. Only the neutrophile contains bacteriorhodopsin and a membrane glycolipid.

Watermelon, Citrullus lanatus, is an important cucurbit crop grown throughout the world. Here we report a high-quality draft genome sequence of the east Asia watermelon cultivar 97103 (2n = 2x = 22) containing 23,440 predicted protein-coding genes. Comparative genomics analysis provided an evolutionary scenario for the origin of the 11 watermelon chromosomes derived from a 7-chromosome paleohexaploid eudicot ancestor. Resequencing of 20 watermelon accessions representing three different C. lanatus subspecies produced numerous haplotypes and identified the extent of genetic diversity and population structure of watermelon germplasm. Genomic regions that were preferentially selected during domestication were identified. Many disease-resistance genes were also found to be lost during domestication. In addition, integrative genomic and transcriptomic analyses yielded important insights into aspects of phloem-based vascular signaling in common between watermelon and cucumber and identified genes crucial to valuable fruit-quality traits, including sugar accumulation and citrulline metabolism.

BackgroundHaloquadratum walsbyi commonly dominates the microbial flora of hypersaline waters. Its cells are extremely fragile squares requiring >14%(w/v) salt for growth, properties that should limit its dispersal and promote geographical isolation and divergence. To assess this, the genome sequences of two isolates recovered from sites at near maximum distance on Earth, were compared.Principal findingsBoth chromosomes are 3.1 MB in size, and 84% of each sequence was highly similar to the other (98.6% identity), comprising the core sequence. ORFs of this shared sequence were completely synteneic (conserved in genomic orientation and order), without inversion or rearrangement. Strain-specific insertions/deletions could be precisely mapped, often allowing the genetic events to be inferred. Many inferred deletions were associated with short direct repeats (4-20 bp). Deletion-coupled insertions are frequent, producing different sequences at identical positions. In cases where the inserted and deleted sequences are homologous, this leads to variant genes in a common synteneic background (as already described by others). Cas/CRISPR systems are present in C23(T) but have been lost in HBSQ001 except for a few spacer remnants. Numerous types of mobile genetic elements occur in both strains, most of which appear to be active, and with some specifically targetting others. Strain C23(T) carries two ∼6 kb plasmids that show similarity to halovirus His1 and to sequences nearby halovirus/plasmid gene clusters commonly found in haloarchaea.ConclusionsDeletion-coupled insertions show that Hqr. walsbyi evolves by uptake and precise integration of foreign DNA, probably originating from close relatives. Change is also driven by mobile genetic elements but these do not by themselves explain the atypically low gene coding density found in this species. The remarkable genome conservation despite the presence of active systems for genome rearrangement implies both an efficient global dispersal system, and a high selective fitness for this species.

Bacteriorhodopsin, the photosynthetic protein of Halobacterium salinarum, is optimally expressed under anaerobic growth conditions. We identified Brz (OE3104F, bacteriorhodopsin-regulating zinc finger protein), a new regulator of the bop gene. It is a small protein with a zinc finger motif, encoded directly upstream of the bop gene in the same orientation. Deletion of the brz gene caused a large decrease of bop mRNA levels as shown by Northern blot and microarray analysis. A similar effect was obtained by site-directed mutagenesis of Cys and His residues in the zinc finger motif, indicating the importance of this motif for the function of the protein. In silico analysis of the genomes from H. salinarum and other archaea revealed a large family of similar small zinc finger motif proteins, some of which may also be involved in transcription regulation of their adjacent genes.

HaloLex is a software system for the central management, integration, curation, and web-based visualization of genomic and other -omics data for any given microorganism. The system has been employed for the manual curation of three haloarchaeal genomes, namely Halobacterium salinarum (strain R1), Natronomonas pharaonis, and Haloquadratum walsbyi. HaloLex, in particular, enables the integrated analysis of genome-wide proteomic results with the underlying genomic data. This has proven indispensable to generate reliable gene predictions for GC-rich genomes, which, due to their characteristically low abundance of stop codons, are known to be hard targets for standard gene finders, especially concerning start codon assignment. The proteomic identification of more than 600 N-terminal peptides has greatly increased the reliability of the start codon assignment for Halobacterium salinarum. Application of homology-based methods to the published genome of Haloarcula marismortui allowed to detect 47 previously unidentified genes (a problem that is particularly serious for short protein sequences) and to correct more than 300 start codon misassignments.