The Executive Management is responsible for the overall strategies of the consortium and for managing the overall program:
Prof Mathias Uhlen, Program Director
AlbaNova site, Stockholm
Antigen and Antibody Factory
Head: Dr Hanna Tegel
Responsibility: (i) Production of recombinant PrEST expression clones including cDNA synthesis, cloning, and plasmid purification. (ii) Production and purification of PrEST-proteins used for preparation of antigens and affinity columns. (iii) Management of immunization outsourcing. (iv) Generation of purified antibodies through affinity purification of polyclonal antisera. (v) Western blot (WB) analysis of antibodies approved in protein array analysis. (vi) WB antibody validation using over-expression lysates. (vii) Storage and distribution of antigens and antibodies within the program. (viii) Production of the Human Secretome in mammalian cells
Description: PrEST regions are first amplified with RT-PCR from total RNA template pools with specific oligonucleotide primers for each PrEST. Amplicons are automatically processed with solid phase restriction, and ligated into the plasmid vector pAff8c (Larsson, M. et al, 2000) where the human gene fragment is fused to a histidine tag and albumin binding protein (His6ABP). After transformation into E. coli Rosetta(DE3), inserts are verified by DNA sequencing to omit clones with mutations and approved clones are single cell streaked. Plasmids are collected from all purified clones for deposition in the clone library and glycerol stocks are prepared and used as starting material for protein production.
All proteins are expressed as His6ABP fusions in E. coli shake flask cultures upon induction with IPTG. A fully automated protein purification system has been developed to allow for purifications of up to 60 cell lysates at a time. One-step purification is enabled by the hexahistidine affinity tag and metal affinity chromatography (IMAC) and performed under denaturing conditions. After evaluation of protein concentration and purity, the molecular weight of the PrEST proteins is determined by mass spectrometry as a final quality control. The purified proteins are then used to prepare antigens and affinity columns with PrEST-ligands. In addition, affinity resin with His6ABP-ligand is also produced.
After immunization of the antigens the polyclonal antisera, generated together with collaborative partners, are carefully purified in a three-step fashion consisting of: depletion of unwanted specificity, capture of wanted specificity and a final buffer exchange step. A manual process using gravity-flow columns carries out depletion of antibodies with unwanted specificity. The following steps are performed on the ÄKTAxpress chromatography system enabling a high-throughput semi-automated process where captured antibodies are eluted by a low pH glycine buffer and automatically loaded onto a desalting column for buffer exchange. Antibodies are supplemented with 50% glycerol and 0.02% sodium azide for long-term storage at -20°C. The binding specificity of all antibodies is determined on protein microarrays to certify that only antibodies with high specificity and low background binding are approved for immunohistochemistry analysis. All approved antibodies are further analyzed in a high-throughput WB platform using protein lysates from human cell lines (RT-4 and U-251 MG), human plasma depleted of IgG and HSA and whole tissue lysates from human liver and tonsil. A selection of the published antibodies, initially scored as uncertain in the standard WB panel, have been revalidated in a WB set-up comprising an over-expression lysate (VERIFY Tagged Antigen™, OriGene Technologies, Rockville, MD) as a positive control.
The group is also responsible for production of full-length proteins in mammalian cells within the Human Secretome project. The overall aim of the Human Secretome project is to produce, purify and characterize the majority of all human secreted proteins to build up a resource of reagents for drug discovery and development. A high-throughput protein production workflow, using Chinese Hamster Ovary (CHO) cells as host cells, has been set up and to purify the produced proteins a mild and effective one-step affinity purification based on affinity chromatography has been developed.
ABP - Albumin Binding Protein IPTG - Isopropyl-B-D-Thiogalactopyranoside IMAC - Immobilized Metal Affinity Chromatography
Head: Prof Sophia Hober
Responsibility: Protein science research.
Description: The module coordinates and conducts research projects aiming to extend the scientific outcome of data generated within the Human Protein Atlas project as well as improving current methodology. Both biological and technical research projects based on the vast amount of data generated are performed to further explore the function, localization and interactions of human proteins.
SciLifeLab site, Stockholm
Protein Array Technologies
Head: Prof Peter Nilsson
Responsibility: To validate the specificity and selectivity of all purified HPA antibodies. To develop and utilize peptide, antigen and antibody based microarray methodologies for large scale analysis of body fluids in the context of biomarker discovery and autoantibody profiling.
Description: Methodology for microarray based analysis of antibody specificity has been developed, where all purified antibodies are analyzed on protein arrays with immobilized PrESTs. Each microarray is divided into 21 replicated subarrays with 384 PrESTs, enabling the analysis of 21 antibodies simultaneously. The antibodies are detected through a fluorescently labeled secondary antibody. A specificity plot is generated for each antibody, where the signal from the binding to its antigen is compared to the unspecific binding to all the other PrESTs. A dual color system is used in order to verify the presence of the spotted PrESTs. Several complementary microarray formats for systematic analysis of body fluids are being utilized and under constant development. The PrEST-arrays have been implemented for systematic antigen-based plasma profiling for the screening of new autoimmunity components. The antibody microarrays with the possibility for simultaneous analysis of large amounts of analytes with high sensitivity and the reverse phase serum microarrays which enable serum from very large patient cohorts to be analyzed simultaneously are both utilizing in-house produced planar microarrays. The main platform for systematic antibody-based plasma profiling, is although the suspension bead array format with capacity for multiplexing in two dimensions, enabling the simultaneous profiling of 384 antibodies on 384 samples, see Plasma profiling.
Head: Prof Emma Lundberg (Stanford)
Team leader: Dr Ulrika Axelsson
Responsibility: Creation of the subcellular section: (i) determination of the subcellular distribution of proteins using high-resolution confocal microscopy, (ii) validation of antibody specificity using gene editing and silencing technologies (iii) annotation and knowledge-based curation of subcellular distribution profiles.
Description: The Subcellular Profiling group is responsible for determination of the spatiotemporal subcellular distribution of proteins in human cells. The distribution is systematically assessed at single-cell level using the antibodies generated within the Human Protein Atlas program. Each protein is studied in up to three cell lines, which are selected based on RNA expression levels from a panel of cell lines of different origin. Subcellular distribution is determined by indirect immunofluorescence followed by confocal microscopy. The resulting high-resolution images show the protein of interest as well as markers for the nucleus, microtubule cytoskeleton, and endoplasmic reticulum. This enables manual annotation of protein localization to one or more subcellular structures, as well as detection of cell-to-cell variability. The high-resolution confocal images, annotations, and gene expression data can be explored in an interactive gene-centric manner on the Subcellular section. The Subcellular Profiling group group uses different strategies for enhanced antibody validation. Most common is validation by independent antibodies, but we also perform genetic validation by knocking down the gene of interest using siRNA, and validation by comparative immunostaining in cells co-expressing a GFP-tagged recombinant version of the protein of interest.
Head: Prof Jochen M. Schwenk
Responsibility: Utilizing HPA antibodies in a variety of multiplexed assay systems to profile human proteins in blood plasma.
Description: The Plasma Profiling group is responsible for developing and applying antibody-based assays for protein biomarker analysis in human plasma or other body fluids. The group has established high-throughput single-binder assays, where antibodies are immobilized on color-coded beads to create antibody arrays in suspension. These discovery arrays are composed of up to 384 antibodies to analyze up to 384 biotinylated and heat-treated body fluids at a time.
Bioinformatics and integrative omics
Head: Dr Linn Fagerberg
Responsibility: Analysis and integration of large-scale biological data using advanced bioinformatic methods focusing on: (i) transcriptomics sequencing of cells and tissues; (ii) the quantitative transcriptomics-based classification of the human proteome; and (iii) advancing personalized medicine to allow for the profiling of human health and disease based on multi-level omics strategies.
Description: The bioinformatics and integrative omics group is specialized in utilizing various methods for mining “big data”. The main focus is analyzing the human proteome and transcriptome using integrative approaches to perform a functional and spatial classification. We are also leading the integrative data analysis work within the SCAPIS SciLifeLab Wellness Profiling (S3WP) program, based on the Swedish CArdioPulmonary bioImage Study (SCAPIS). In the S3WP program, the participants are profiled based on a combination of classical clinical chemistry, advanced medical imaging and extensive omics profiling and include both healthy as well as disease cohorts.
Tissue cell type profiling
Head: Dr Lynn Butler
Responsibility: The development and application of computational-based analysis methods to profile cell type specificity of gene expression, within different tissue types. This data is presented in the Tissue Cell Type section of the Human Protein Atlas.
Description: The group use correlation based integrative co-expression analysis to mine information on gene expression at the cell type level, using unfractionated bulk RNAseq data. We apply our method to existing large datasets, sourced though resources such as the GTEx consortium.
Targeted Proteomics and Plasma Profiling
Head: Dr Fredrik Edfors
Responsibility: The group is using mass spectrometry to validate reagents generated within the scope of the Human Protein Atlas. This includes orthogonal antibody validation by Capture MS, as well as bottom-up proteomics analysis of samples of human origin.
Description: The group is focusing on the use of Stable Isotope-labeled Standard (SIS) Protein Fragments based on the PrEST sequences to precisely quantify and accurately quantify proteins across human tissues, cell-lines and in blood plasma. A wide variety of bottom-up proteomics techniques are used to generate targeted assays, including Selective Reaction Monitoring (SRM) and Data Independent Acquisition (DIA) strategies.
IT, LIMS and data handling
Head: Kalle von Feilitzen
Responsibility: (i) To deliver custom made software solutions for all operations in the Human Protein Atlas project, (ii) to provide the collected data to the public via the Human Protein Atlas, (iii) to map and quantify RNA-seq data, and (iv) to initiate the analysis of human proteins by in silico selection and design of Protein Epitope Signature Tags (PrESTs).
Description: With the LIMS (Laboratory Information Management System) as the backbone, data is collected from each module in the pipeline. The protein expression profiles, RNA-seq data and raw data from the project is published on the Human Protein Atlas public web site through annual releases. The group is also involved in research performed in the project, such as data collection, data interpretation and visualization as well as statistical analysis.
Web and social media
Head: Åsa Sivertsson and Inger Åhlen
Responsibility: To be editor for the open access Human Protein Atlas resource. Responsible for section descriptions and general information about the resource. The group is also responsible for the News section, press releases and social media.
Description: The group is responsible for the web, news, press releases and social media.
Biomedicum site, Karolinska Institutet, Stockholm
Head: Dr Jan Mulder
Advisor: Prof Tomas Hökfelt
Responsibility: Generation of transcriptomics and antibody-based protein data for the Brain Atlas: (i) Validation of antibodies against human targets on rodent tissues, (ii) profiling the distribution of proteins in the developing, adult, and diseased nervous system, (iii) quantification, annotation, and presentation of whole brain protein distribution profiles, (iv) dissection and collection of brain samples (various species), (v) RNAsequencing of human brain and rodent tissues using the MGI DNBSEQ-T7 platform, (vi) 3D volume imaging of human and animal samples (iDISCO protocol).
Description: The brain is a complex organ from a functional and anatomical perspective. To capture this complexity, we complemented our standard human tissue and organ analysis with a more in-depth analysis of the central nervous system by including more brain regions and by investigating regional protein expression in different mammalian species. By visualizing protein distribution in the ‘small’ mouse brain we are able to provide a more complete overview of protein distribution in the mammalian brain including most brain regions and cell types. For this, HPA antibodies against proteins expressed in the mouse nervous system are validated on mouse brain tissue using immunofluorescence and results are compared to available expression data. Antibodies that pass validation are used to generate detailed protein distribution profiles using 20-30 coronal sections of the mouse brain with a 400 μm section interval covering all major brain nuclei. Whole slide immunofluorescence captured at 10x primary objective is analyzed and regional, cellular and subcellular protein distributions are quantified. Data and images are optimized for online publication.
Pig brain project: The pig brain transcriptomics project is a collaborative project between the Human Protein Atlas and the Lars Bolund institute of regenerative Medicine (Dr Yonglun Luo), BGI-Qingdao, China.
Human prefrontal cortex project: The human prefrontal cortex project is a collaboration with Prof Miklós Palkovits, Human Brain Tissue Bank Microdissection Laboratory of the Semmelweis University, Budapest, Hungary
Head: Dr Cecilia Lindskog
Advisor: Prof Fredrik Ponten
Generation of antibody-based protein data for the Tissue and Pathology sections: (i) handling and processing of tissues (biobank material), (ii) handling and storage of antisera, (iii) testing of antibodies, (iv) immunohistochemical staining based on conventional or multiplex detection, (v) scanning of stained tissue slides and image processing, (vi) validation of antibody target specificity, (vii) annotation and final approval of immunohistochemically stained tissues, (viii) determination of antibody reliability based on enhanced antibody validation strategies, (ix) generation of knowledge-based protein expression profiles, and (x) prepare the data for release on the Tissue and Pathology sections.
Tissue data curation: (i) restaining with novel antibodies or staining protocol for poorly characterized proteins, (ii) addition of extended tissue samples to cover rare cell types or temporal expression, (iii) in-depth annotation of existing tissue images to add data for more cell types
Analysis of scRNA-seq based data for the Single cell type section: annotation and curation of single cell type clusters generated by the Single cell profiling group led by Dr. Cheng Zhang.
Clinical pathology: (i) develop strategies to identify potential biomarkers based on the HPA database and other efforts, (ii) validate proteins that can be used as clinical biomarkers for disease, (iii) participate in clinical studies, collect tumor material and clinical data to generate specific cancer TMAs coupled to clinical databases, (iv) perform statistical analysis and validate the clinical usefulness of identified biomarkers.