Allele-Level KIR Genotyping of More Than a Million Samples: Workflow, Algorithm, and Observations.

The killer-cell immunoglobulin-like receptor (KIR) genes regulate natural killer cell activity, influencing predisposition to immune mediated disease, and affecting hematopoietic stem cell transplantation (HSCT) outcome. Owing to the complexity of the KIR locus, with extensive gene copy number variation (CNV) and allelic diversity, high-resolution characterization of KIR has so far been applied only to relatively small cohorts. Here, we present a comprehensive high-throughput KIR genotyping approach based on next generation sequencing. Through PCR amplification of specific exons, our approach delivers both copy numbers of the individual genes and allelic information for every KIR gene. Ten-fold replicate analysis of a set of 190 samples revealed a precision of 99.9%. Genotyping of an independent set of 360 samples resulted in an accuracy of more than 99% taking into account consistent copy number prediction. We applied the workflow to genotype 1.8 million stem cell donor registry samples. We report on the observed KIR allele diversity and relative abundance of alleles based on a subset of more than 300,000 samples. Furthermore, we identified more than 2,000 previously unreported KIR variants repeatedly in independent samples, underscoring the large diversity of the KIR region that awaits discovery. This cost-efficient high-resolution KIR genotyping approach is now applied to samples of volunteers registering as potential donors for HSCT. This will facilitate the utilization of KIR as additional selection criterion to improve unrelated donor stem cell transplantation outcome. In addition, the approach may serve studies requiring high-resolution KIR genotyping, like population genetics and disease association studies.

Predicting an HLA-DPB1 expression marker based on standard DPB1 genotyping: Linkage analysis of over 32,000 samples.

The risk of acute graft-versus-host disease (GvHD) after hematopoietic stem cell transplantation is increased with donor-recipient HLA-DPB1 allele mismatching. The single-nucleotide polymorphism (SNP) rs9277534 within the 3' untranslated region (UTR) correlates with HLA-DPB1 allotype expression and serves as a marker for permissive HLA-DPB1 mismatches. Since rs9277534 is not routinely typed, we analyzed 32,681 samples of mostly European ancestry to investigate if the rs9277534 allele can be reliably imputed from standard DPB1 genotyping. We confirmed the previously-defined linkages between rs9277534 and 18 DPB1 alleles and established additional linkages for 46 DPB1 alleles. Based on these linkages, the rs9277534 allele could be predicted for 99.6% of the samples based on DPB1 genotypes (99.99% concordance). We demonstrate that 100% prediction accuracy could be achieved if the prediction utilized exon 3 sequence information. DPB1 genotyping based on exon 2 data alone allows no unambiguous rs9277534 allele prediction but was estimated to maintain 99% accuracy for samples of European descent. We conclude that DPB1 genotyping is sufficient to infer the DPB1 expression marker rs9277534 with high accuracy. This information could be used to select donors with permissive HLA-DPB1 mismatches without directly screening for rs9277534.

Serum Proteases Potentiate BMP-Induced Cell Cycle Re-entry of Dedifferentiating Muscle Cells during Newt Limb Regeneration.

Limb amputation in the newt induces myofibers to dedifferentiate and re-enter the cell cycle to generate proliferative myogenic precursors in the regeneration blastema. Here we show that bone morphogenetic proteins (BMPs) and mature BMPs that have been further cleaved by serum proteases induce cell cycle entry by dedifferentiating newt muscle cells. Protease-activated BMP4/7 heterodimers that are present in serum strongly induced myotube cell cycle re-entry with protease cleavage yielding a 30-fold potency increase of BMP4/7 compared with canonical BMP4/7. Inhibition of BMP signaling via muscle-specific dominant-negative receptor expression reduced cell cycle entry in vitro and in vivo. In vivo inhibition of serine protease activity depressed cell cycle re-entry, which in turn was rescued by cleaved-mimic BMP. This work identifies a mechanism of BMP activation that generates blastema cells from differentiated muscle.

Pressure reduction affects growth and morphology of Chlamydomonas reinhardtii.

Cellular perception of pressure is a largely unknown field in microalgae research although it should be addressed for optimization of a photobioreactor design regarding typically occurring pressure cycles. Also for the purpose of using microalgae as basic modules for material cycles in controlled ecological life support systems, the absence of pressure in outer space or the low absolute pressures on other planets is an abiotic factor that needs to be considered for design of integrated microalgae-based modules. The aim of this work is to study the effects of lowered pressure and pressure changes on photosynthesis as well as morphology. Two Chlamydomonas reinhardtii wild-type strains were exposed to controlled pressure patterns during batch cultivations. Sudden pressure changes should test for existing threshold values for cell survival to mimic such events during space missions. Algae were grown inside a 2 L photobioreactor with an integrated vacuum pump ensuring constant pressures down to 700 mbar. Cultivation samples were analyzed for OD750, cell dry weight, and morphology via light microscope. Chlamydomonas reinhardtii CC-1690 cells showed decreased growth rates, higher carbon dioxide uptake rates, and unchanged oxygen production rates at lower pressures. For sudden pressures changes in the range of 300 mbar no fatal threshold was determined. This study shows that pressure reduction affects growth, gas exchange rates, and morphology. Within the tested pressure range no fatal threshold value was reached.

Mono- and dichromatic LED illumination leads to enhanced growth and energy conversion for high-efficiency cultivation of microalgae for application in space.

Illumination with red and blue photons is known to be efficient for cultivation of higher plants. For microalgae cultivation, illumination with specific wavelengths rather than full spectrum illumination can be an alternative where there is a lack of knowledge about achievable biomass yields. This study deals with the usage of color LED illumination to cultivate microalgae integrated into closed life support systems for outer space. The goal is to quantify biomass yields using color illumination (red, blue, green and mixtures) compared to white light. Chlamydomonas reinhardtii was cultivated in plate reactors with color compared to white illumination regarding PCE, specific pigment concentration and cell size. Highest PCE values were achieved under low PFDs with a red/blue illumination (680 nm/447 nm) at a 90 to 10% molar ratio. At higher PFDs saturation effects can be observed resulting from light absorption characteristics and the linear part of PI curve. Cell size and aggregation are also influenced by the applied light color. Red/blue color illumination is a promising option applicable for microalgae-based modules of life support systems under low to saturating light intensities and double-sided illumination. Results of higher PCE with addition of blue photons to red light indicate an influence of sensory pigments.

ABO allele-level frequency estimation based on population-scale genotyping by next generation sequencing.

BACKGROUND: The characterization of the ABO blood group status is vital for blood transfusion and solid organ transplantation. Several methods for the molecular characterization of the ABO gene, which encodes the alleles that give rise to the different ABO blood groups, have been described. However, the application of those methods has so far been restricted to selected samples and not been applied to population-scale analysis. RESULTS: We describe a cost-effective method for high-throughput genotyping of the ABO system by next generation sequencing. Sample specific barcodes and sequencing adaptors are introduced during PCR, rendering the products suitable for direct sequencing on Illumina MiSeq or HiSeq instruments. Complete sequence coverage of exons 6 and 7 enables molecular discrimination of the ABO subgroups and many alleles. The workflow was applied to ABO genotype more than a million samples. We report the allele group frequencies calculated on a subset of more than 110,000 sampled individuals of German origin. Further we discuss the potential of the workflow for high resolution genotyping taking the observed allele group frequencies into account. Finally, sequence analysis revealed 287 distinct so far not described alleles of which the most abundant one was identified in 174 samples. CONCLUSIONS: The described workflow delivers high resolution ABO genotyping at low cost enabling population-scale molecular ABO characterization.

Photobioreactors in Life Support Systems.

Life support systems for long-term space missions or extraterrestrial installations have to fulfill major functions such as purification of water and regeneration of atmosphere as well as the generation of food and energy. For almost 60 years ideas for biological life support systems have been collected and various concepts have been developed and tested. Microalgae as photosynthetic organisms have played a major role in most of these concepts. This review deals with the potentials of using eukaryotic microalgae for life support systems and highlights special requirements and frame conditions for designing space photobioreactors especially regarding illumination and aeration. Mono- and dichromatic illumination based on LEDs is a promising alternative for conventional systems and preliminary results yielded higher photoconversion efficiencies (PCE) for dichromatic red/blue illumination than white illumination. Aeration for microgravity conditions should be realized in a bubble-free manner, for example, via membranes. Finally, a novel photobioreactor concept for space application is introduced being parameterized and tested with the microalga Chlamydomonas reinhardtii. This system has already been tested during two parabolic flight campaigns.

morFeus: a web-based program to detect remotely conserved orthologs using symmetrical best hits and orthology network scoring.

BACKGROUND: Searching the orthologs of a given protein or DNA sequence is one of the most important and most commonly used Bioinformatics methods in Biology. Programs like BLAST or the orthology search engine Inparanoid can be used to find orthologs when the similarity between two sequences is sufficiently high. They however fail when the level of conservation is low. The detection of remotely conserved proteins oftentimes involves sophisticated manual intervention that is difficult to automate. RESULTS: Here, we introduce morFeus, a search program to find remotely conserved orthologs. Based on relaxed sequence similarity searches, morFeus selects sequences based on the similarity of their alignments to the query, tests for orthology by iterative reciprocal BLAST searches and calculates a network score for the resulting network of orthologs that is a measure of orthology independent of the E-value. Detecting remotely conserved orthologs of a protein using morFeus thus requires no manual intervention. We demonstrate the performance of morFeus by comparing it to state-of-the-art orthology resources and methods. We provide an example of remotely conserved orthologs, which were experimentally shown to be functionally equivalent in the respective organisms and therefore meet the criteria of the orthology-function conjecture. CONCLUSIONS: Based on our results, we conclude that morFeus is a powerful and specific search method for detecting remotely conserved orthologs. morFeus is freely available at http://bio.biochem.mpg.de/morfeus/. Its source code is available from Sourceforge.net (https://sourceforge.net/p/morfeus/).

Production of L-lysine on different silage juices using genetically engineered Corynebacterium glutamicum.

Corynebacterium glutamicum, the best established industrial producer organism for lysine was genetically modified to allow the production of lysine on grass and corn silages. The resulting strain C. glutamicum lysC(fbr)dld(Psod)pyc(Psod)malE(Psod)fbp(Psod)gapX(Psod) was based on earlier work (Neuner and Heinzle, 2011). That mutant carries a point mutation in the aspartokinase (lysC) regulatory subunit gene as well as overexpression of D-lactate dehydrogenase (dld), pyruvate carboxylase (pyc) and malic enzyme (malE) using the strong Psod promoter. Here, we additionally overexpressed fructose 1,6-bisphosphatase (fbp) and glyceraldehyde 3-phosphate dehydrogenase (gapX) using the same promoter. The resulting strain grew readily on grass and corn silages with a specific growth rate of 0.35 h⁻¹ and lysine carbon yields of approximately 90 C-mmol (C-mol)⁻¹. Lysine yields were hardly affected by oxygen limitation whereas linear growth was observed under oxygen limiting conditions. Overall, this strain seems very robust with respect to the composition of silage utilizing all quantified low molecular weight substrates, e.g. lactate, glucose, fructose, maltose, quinate, fumarate, glutamate, leucine, isoleucine and alanine.

Role of Fra-2 in breast cancer: influence on tumor cell invasion and motility.

Fra-2 (Fos-related antigen 2) is a member of the Fos family of AP-1 transcription factors which is often up-regulated in mammary carcinomas. Previous results suggested that it might be involved in the regulation of breast cancer invasion and metastasis. In order to analyze the role of Fra-2 in breast cancer cells, it was silenced in the highly invasive MDA-MB231 cells using RNA interference. On the other hand, stable transfectants of the weakly invasive MCF7 cell line were established in order to analyze the effects of Fra-2 overexpression. In both approaches, cell proliferation was not or only weakly influenced by Fra-2. In contrast, the invasive potential of the cells was increased, and a weaker effect on motility was observed. By cDNA microarray analysis of the MCF7 transfectants followed by validation on a protein level, we identified several Fra-2 target genes which might be involved in cell invasion and migration, i.e., ALCAM and connexin 43. Additionally, mRNA expression levels of various genes which are associated with a more malignant behavior of the tumors in vivo were up- or downregulated, i.e., members of the MAGE family, S100P, TIMP2, IL24 etc. These results show that Fra-2 overexpression is associated with a more aggressive tumor phenotype and is probably involved in breast cancer progression in vivo.