Biology subjects

Hukelmann, J. L.

Publications and source records attributed to Hukelmann, J. L..

5 recordsLinked to original sources

bioRxiv2022

The Immunological Proteome Resource

The Immunological Proteome Resource (ImmPRes; http://immpres.co.uk/) is an open access public resource integrating proteomic data generated by large-scale mass-spectrometry analysis of murine hematopoietic populations. The initial focus is T lymphocytes and how their proteomes are shaped by immune activation, environment, and intracellular signalling pathways with an aim to expand it to B cells and innate immune cells. It is a multidisciplinary effort between immunology and mass spectrometry-based labs with the objective to help define an in-depth high-quality map of immune cell proteomes. Maintaining data reproducibility and integrity are a priority within the resource, thus there is an in-depth protocols section explaining in detail the sample processing and the mass spectrometry-based analysis. ImmPRes provides open access to proteomic datasets covering a wide range of murine leukocyte populations with analysis of copy numbers per cell of > 10,000 proteins, enabling new understanding of lymphocyte phenotypes. All data is accessible via a simple graphical interface that supports easy interrogation of the data and options to download data summaries and raw data files.

immunology↗

bioRxiv2021

Nrf2 is a central regulator of the metabolic landscape in macrophages and finetunes their inflammatory response

To overcome oxidative, inflammatory, and metabolic stress, cells have evolved networks of cytoprotective proteins controlled by nuclear factor erythroid 2 p45-related factor 2 (Nrf2) and its main negative regulator the Kelch-like ECH associated protein 1 (Keap1). Here, we used high-resolution mass-spectrometry to characterize the proteomes of macrophages with genetically altered Nrf2 status. Our analysis revealed significant differences among the genotypes in cellular metabolism and redox homeostasis, which we validated with respirometry and metabolomics, as well as in anti-viral immune pathways and the cell cycle. Nrf2 status significantly affected the proteome following lipopolysaccharide (LPS) stimulation, with alterations in redox, carbohydrate and lipid metabolism, and innate immunity observed. Of note, Nrf2 activation was found to promote mitochondrial fusion in inflammatory macrophages. The Keap1 inhibitor, 4-octyl itaconate (4-OI), a derivative of the mitochondrial immunometabolite itaconate, remodeled the inflammatory macrophage proteome, increasing redox and suppressing anti-viral immune effectors in a Nrf2-dependent manner. These data suggest that Nrf2 activation facilitates metabolic reprogramming and mitochondrial adaptation, and finetunes the innate immune response in macrophages. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=121 SRC="FIGDIR/small/456204v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1f5bbb8org.highwire.dtl.DTLVardef@1f7311dorg.highwire.dtl.DTLVardef@1b9722forg.highwire.dtl.DTLVardef@1f777d4_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIFirst high-resolution proteome of macrophages with genetically altered Nrf2 status C_LIO_LINrf2 is key regulator of macrophage redox and intermediary metabolism C_LIO_LINrf2 finetunes the inflammatory response suppressing anti-viral immune and cytokine effectors, whilst promoting T cell activation factors C_LIO_LINrf2 regulates mitochondrial adaptation in inflammatory macrophages promoting the formation of a fused network C_LIO_LI4-octyl itaconate (4-OI) suppresses anti-viral immune effectors in inflammatory macrophages in a Nrf2-dependent manner C_LI

immunology↗

bioRxiv2020

Erosion of human X chromosome inactivation alters proteome expression from genes across the X chromosome and all autosomes

X chromosome inactivation (XCI) is a dosage compensation mechanism in female mammals whereby genes from one X chromosome are repressed. Analysis of human induced pluripotent stem cell (iPSC) lines using proteomics, RNAseq and polysome profiling showed a major change in the proteome upon XCI erosion. This resulted in amplified RNA and protein expression from X-linked genes. However, increased protein expression was also detected from autosomal genes without a corresponding mRNA increase, altering the protein-RNA correlation between genes on the X chromosome and autosomes. Eroded iPSC lines display ~13% increase in cell protein content, along with increased expression of ribosomal proteins, ribosome biogenesis and translation factors. They also showed significantly increased levels of active polysomes within the eroded lines. We conclude that erosion of XCI causes a major remodelling of the proteome, with translational mechanisms affecting the expression of a much wider range of proteins and disease-linked loci than previously realised.

biochemistry↗

bioRxiv2018

Antigen receptor control of methionine metabolism in T cells

Immune activated T lymphocytes modulate the activity of key metabolic pathways to support the transcriptional reprograming and reshaping of cell proteomes that permits effector T cell differentiation. The present study uses high resolution mass spectrometry and metabolic labelling to explore how T cells control the methionine cycle to produce methyl donors for protein and nucleotide methylations. We show that antigen receptor engagement controls flux through the methionine cycle and also controls RNA and histone methylations. We establish that the main rate limiting step for the methionine cycle is control of methionine transporter expression by antigen receptors. Only T cells that respond to antigen to upregulate and sustain methionine transport are supplied with the methyl donors that permit the dynamic nucleotide methylations and epigenetic reprogramming that drives T cell differentiation.

immunology↗

bioRxiv2018

Optimising multi-batch TMT analysis to mitigate inflation of missing values, false positives and diminished inter batch accuracy

Multiplexing strategies for large-scale proteomic analyses have become increasingly prevalent, TMT in particular. Here we used a large iPSC proteomic experiment with twenty-four 10-plex TMT batches to evaluate the effect of integrating multiple TMT batches within a single analysis. We reveal a significant inflation rate of missing protein and peptide values and show that precision decreases as multiple batches are integrated. Additionally, we explore the effect of false positives using Y chromosome specific peptides as an internal control to quantify the effect of co-isolation interference, as well as primary and secondary reporter ion interference. Based on the results we suggest solutions to mitigate these effects. We show using a reference line can increase precision by normalising the quantification across batches and we propose experimental designs that minimise the effect of cross population reporter ion interference.

biochemistry↗