Shape of the art: TCR-repertoire after allogeneic hematopoietic cell transplantation.

The human adaptive immune repertoire is characterized by specificity and diversity to provide immunity against past and future tasks. Such tasks are mainly infections but also malignant transformations of cells. With its multiple lines of defense, the human immune system contains both, rapid reaction forces and the potential to capture, disassemble and analyze strange structures in order to teach the adaptive immune system and mount a specific immune response.

Submitting Novel Full-Length HLA, MIC, and KIR Alleles with TypeLoader2.

The Immuno Polymorphism Database (IPD) plays a pivotal role for immunogenetics. Due to technical limitations, genotyping often focuses on specific key regions like the antigen recognition domain (ARD) for HLA genotyping, and the databases are populated accordingly. More recently, though, modern next generation sequencing (NGS) assays allow using larger gene segments or even complete genes for genotyping.

Bioinformatics Strategies, Challenges, and Opportunities for Next Generation Sequencing-Based HLA Genotyping.

The advent of next generation sequencing (NGS) has altered the face of genotyping the human leukocyte antigen (HLA) system in clinical, stem cell donor registry, and research contexts. NGS has led to a dramatically increased sequencing throughput at high accuracy, while being more time and cost efficient than precursor technologies. This has led to a broader and deeper profiling of the key genes in the human immunogenetic make-up.

TypeLoader2: Automated submission of novel HLA and killer-cell immunoglobulin-like receptor alleles in full length.

The Immuno Polymorphism Database (IPD) databases provide global, curated repositories for information regarding polymorphisms of genes of the immune system, thereby generating immense value for the research and clinical communities. The advent of high-throughput genotyping in immunogenetics has led to dramatically growing numbers of heretofore unknown HLA and lately also killer-cell immunoglobulin-like receptor (KIR) alleles, which are to be curated and deposited in the IPD-IMGT/HLA and IPD-KIR databases, respectively. It is highly desirable that these novel alleles are characterised and submitted in full length, and that known alleles are extended to cover the complete gene sequence.

Full-Length HLA Class I Genotyping with the MinION Nanopore Sequencer.

Nanopore sequencing, a paradigm change in sequencing technologies, offers a new cost-effective and scalable platform for HLA genotyping. Among the new generation of high-throughput sequencing technologies, the MinION nanopore sequencer is the first to offer a non-template-based direct DNA sensing sequencing technology. Oxford Nanopore Technologies (ONT) introduced the first version of the MinION in 2014; since then, the platform has gone through multiple iterations resulting in higher throughput and sequencing accuracy.

Dual redundant sequencing strategy: Full-length gene characterisation of 1056 novel and confirmatory HLA alleles.

The high-throughput department of DKMS Life Science Lab encounters novel human leukocyte antigen (HLA) alleles on a daily basis. To characterise these alleles, we have developed a system to sequence the whole gene from 5'- to 3'-UTR for the HLA loci A, B, C, DQB1 and DPB1 for submission to the European Molecular Biology Laboratory - European Nucleotide Archive (EMBL-ENA) and the IPD-IMGT/HLA Database. Our workflow is based on a dual redundant sequencing strategy.

TypeLoader: A fast and efficient automated workflow for the annotation and submission of novel full-length HLA alleles.

Recent years have seen a rapid increase in the discovery of novel allelic variants of the human leukocyte antigen (HLA) genes. Commonly, only the exons encoding the peptide binding domains of novel HLA alleles are submitted. As a result, the IPD-IMGT/HLA Database lacks sequence information outside those regions for the majority of known alleles.

Directed evolution of a recombinase that excises the provirus of most HIV-1 primary isolates with high specificity.

Current combination antiretroviral therapies (cART) efficiently suppress HIV-1 reproduction in humans, but the virus persists as integrated proviral reservoirs in small numbers of cells. To generate an antiviral agent capable of eradicating the provirus from infected cells, we employed 145 cycles of substrate-linked directed evolution to evolve a recombinase (Brec1) that site-specifically recognizes a 34-bp sequence present in the long terminal repeats (LTRs) of the majority of the clinically relevant HIV-1 strains and subtypes. Brec1 efficiently, precisely and safely removes the integrated provirus from infected cells and is efficacious on clinical HIV-1 isolates in vitro and in vivo, including in mice humanized with patient-derived cells.

Systematic imaging reveals features and changing localization of mRNAs in Drosophila development.

mRNA localization is critical for eukaryotic cells and affects numerous transcripts, yet how cells regulate distribution of many mRNAs to their subcellular destinations is still unknown. We combined transcriptomics and systematic imaging to determine the tissue-specific expression and subcellular distribution of 5862 mRNAs during Drosophila oogenesis. mRNA localization is widespread in the ovary and detectable in all of its cell types-the somatic epithelial, the nurse cells, and the oocyte.

Universal Tre (uTre) recombinase specifically targets the majority of HIV-1 isolates.

Current drugs against HIV can suppress the progression to AIDS but cannot clear the patient from the virus. Because of potential side effects of these drugs and the possible development of drug resistance, finding a cure for HIV infection remains a high priority of HIV/AIDS research. We recently generated a recombinase (termed Tre) tailored to efficiently eradicate the provirus from the host genome of HIV-1 infected cells by specifically targeting a sequence that is present in the long terminal repeats (LTRs) of the viral DNA [1].

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.

Vika/vox, a novel efficient and specific Cre/loxP-like site-specific recombination system.

Targeted genome engineering has become an important research area for diverse disciplines, with site-specific recombinases (SSRs) being among the most popular genome engineering tools. Their ability to trigger excision, integration, inversion and translocation has made SSRs an invaluable tool to manipulate DNA in vitro and in vivo. However, sophisticated strategies that combine different SSR systems are ever increasing.

Designing efficient and specific endoribonuclease-prepared siRNAs.

RNA interference (RNAi) has grown to be one of the main techniques for loss-of-function studies, leading to the elucidation of biological function of genes in various cellular systems and model organisms. While for many invertebrates such as Drosophila melanogaster (D. melanogaster) and Caenorhabditis elegans (C.

Combined RNAi and localization for functionally dissecting long noncoding RNAs.

Whereas methods to comprehensively study cellular roles of protein-coding genes are available, techniques to systematically investigate long noncoding RNAs (lncRNAs), which have been implicated in diverse biological pathways, are limited. Here we report combined knockdown and localization analysis of noncoding RNAs (c-KLAN) that merges functional characterization and localization approaches to study lncRNAs. Using this technique we identified transcripts that regulate mouse embryonic stem cell identity.

Revisiting the yeast PPR proteins--application of an Iterative Hidden Markov Model algorithm reveals new members of the rapidly evolving family.

Pentatricopeptide repeat (PPR) proteins are the largest known RNA-binding protein family, and are found in all eukaryotes, being particularly abundant in higher plants. PPR proteins localize mostly to mitochondria and chloroplasts, and many were shown to modulate organellar genome expression on the posttranscriptional level. Although the genomes of land plants encode hundreds of PPR proteins, only a few have been identified in Fungi and Metazoa.

HMMerThread: detecting remote, functional conserved domains in entire genomes by combining relaxed sequence-database searches with fold recognition.

Conserved domains in proteins are one of the major sources of functional information for experimental design and genome-level annotation. Though search tools for conserved domain databases such as Hidden Markov Models (HMMs) are sensitive in detecting conserved domains in proteins when they share sufficient sequence similarity, they tend to miss more divergent family members, as they lack a reliable statistical framework for the detection of low sequence similarity. We have developed a greatly improved HMMerThread algorithm that can detect remotely conserved domains in highly divergent sequences.

SeLOX--a locus of recombination site search tool for the detection and directed evolution of site-specific recombination systems.

Site-specific recombinases have become a resourceful tool for genome engineering, allowing sophisticated in vivo DNA modifications and rearrangements, including the precise removal of integrated retroviruses from host genomes. In a recent study, a mutant form of Cre recombinase has been used to excise the provirus of a specific HIV-1 strain from the human genome. To achieve provirus excision, the Cre recombinase had to be evolved to recombine an asymmetric locus of recombination (lox)-like sequence present in the long terminal repeat (LTR) regions of a HIV-1 strain.

Separating the wheat from the chaff: unbiased filtering of background tandem mass spectra improves protein identification.

Only a small fraction of spectra acquired in LC-MS/MS runs matches peptides from target proteins upon database searches. The remaining, operationally termed background, spectra originate from a variety of poorly controlled sources and affect the throughput and confidence of database searches. Here, we report an algorithm and its software implementation that rapidly removes background spectra, regardless of their precise origin.

Genome-scale RNAi profiling of cell division in human tissue culture cells.

Cell division is fundamental for all organisms. Here we report a genome-scale RNA-mediated interference screen in HeLa cells designed to identify human genes that are important for cell division. We have used a library of endoribonuclease-prepared short interfering RNAs for gene silencing and have used DNA content analysis to identify genes that induced cell cycle arrest or altered ploidy on silencing.

Sequence similarity-driven proteomics in organisms with unknown genomes by LC-MS/MS and automated de novo sequencing.

LC-MS/MS analysis on a linear ion trap LTQ mass spectrometer, combined with data processing, stringent, and sequence-similarity database searching tools, was employed in a layered manner to identify proteins in organisms with unsequenced genomes. Highly specific stringent searches (MASCOT) were applied as a first layer screen to identify either known (i.e.

Top-down lipidomic screens by multivariate analysis of high-resolution survey mass spectra.

Direct profiling of total lipid extracts on a hybrid LTQ Orbitrap mass spectrometer by high-resolution survey spectra clusters species of 11 major lipid classes into 7 groups, which are distinguished by their sum compositions and could be identified by accurately determined masses. Rapid acquisition of survey spectra was employed as a "top-down" screening tool that, together with the computational method of principal component analysis, revealed pronounced perturbations in the abundance of lipid precursors within the entire series of experiments. Altered lipid precursors were subsequently identified either by accurately determined masses or by in-depth MS/MS characterization that was performed on the same instrument.

Genome-wide resources of endoribonuclease-prepared short interfering RNAs for specific loss-of-function studies.

RNA interference (RNAi) has become an important technique for loss-of-gene-function studies in mammalian cells. To achieve reliable results in an RNAi experiment, efficient and specific silencing triggers are required. Here we present genome-wide data sets for the production of endoribonuclease-prepared short interfering RNAs (esiRNAs) for human, mouse and rat.

ProFAT: a web-based tool for the functional annotation of protein sequences.

Background: The functional annotation of proteins relies on published information concerning their close and remote homologues in sequence databases. Evidence for remote sequence similarity can be further strengthened by a similar biological background of the query sequence and identified database sequences. However, few tools exist so far, that provide a means to include functional information in sequence database searches.

Rapid validation of protein identifications with the borderline statistical confidence via de novo sequencing and MS BLAST searches.

Protein identifications with the borderline statistical confidence are typically produced by matching a few marginal quality MS/MS spectra to database peptide sequences and represent a significant bottleneck in the reliable and reproducible characterization of proteomes. Here, we present a method for rapid validation of borderline hits that circumvents the need in, often biased, manual inspection of raw MS/MS spectra. The approach takes advantage of the independent interpretation of corresponding MS/MS spectra by PepNovo de novo sequencing software followed by mass spectrometry-driven BLAST (MS BLAST) sequence-similarity database searches that utilize all partially inaccurate, degenerate and redundant candidate peptide sequences.