Biology subjects

Mulder, K. W.

Publications and source records attributed to Mulder, K. W..

11 recordsLinked to original sources

bioRxiv2025

Cell-state specific drug-responses are associated with differences in signaling network wiring.

Intracellular signaling pathways form networks through which information is transmitted, often in the form of kinase-mediated phosphorylation events, to interpret extracellular signals and elicit appropriate cellular responses. Yet, even isogenic cells in a homogenous environment show heterogeneity in their intracellular "cell-state", as well as their response to extracellular signals. Here, we aimed to better understand this relation between these phenomena by investigating how information flows through the EGF-receptor centered network upon targeted drug treatment, and how this is affected by cell-to-cell-state differences. Using single-cell ID-seq, we profiled the cell-state and signaling activity of primary human epidermal stem cells by measuring 69 (phospho-)proteins upon inhibition of the Erk/MAPK (p90RSK) and Akt/mTOR (p70S6K) routes downstream of the EGF pathway. We found that the effects of drug treatment propagated from the EGF-signaling pathway to other connected parts of the cellular signaling network, indicating altered signaling flow. We identified nine distinct cell-states that show pervasive state-dependent drug-responses for many (phospho-)proteins. Computational modeling of the signaling network using single-cell Comparative Network Reconstruction showed that many interactions between phospho-proteins (i.e. network wiring) were quantitatively different between cell-states. Furthermore, (phospho-)proteins with a cell-state dependent drug response, were more likely to be involved in interactions that showed a cell-state dependent strength. Overall, our results indicate that drug treatment response and signaling interactions between proteins are closely related and modulated by cell-state.

systems biology↗

bioRxiv2024

Reconstructing and comparing signal transduction networks from single cell protein quantification data

MotivationSignal transduction networks regulate a multitude of essential biological processes and are frequently aberrated in diseases such as cancer. Developing a mechanistic understanding of such networks is essential to understand disease or cell population specific signaling and to design effective treatment strategies. Typically, such networks are computationally reconstructed based on systematic perturbation experiments, followed by quantification of signaling protein activity. Recent technological advances now allow for the quantification of the activity of many (signaling) proteins simultaneously in single cells. This makes it feasible to reconstruct signaling networks from single cell data. ResultsHere we introduce single cell Comparative Network Reconstruction (scCNR) to derive signal transduction networks by exploiting the heterogeneity of single cell (phospho)protein measurements. scCNR treats stochastic variation in total protein abundances as natural perturbation experiments, whose effects propagate through the network. scCNR reconstructs cell population specific networks of the same underlying topology for cells from diverse populations. We extensively validated scCNR on simulated single cell data, and we applied it to a dataset of EGFR-inhibitor treated keratinocytes to recover signaling differences downstream of EGFR and in protein interactions associated with proliferation. scCNR will help to unravel the mechanistic signaling differences between cell populations by making use of single-cell data, and will subsequently guide the development of well-informed treatment strategies. Availability and implementationscCNR is available as a python module at https://github.com/ibivu/scmra. Additionally, code to reproduce all figures is available at https://github.com/tstohn/scmra_analysis. Supplementary informationSupplementary information and data are available at Bioinformatics online.

bioinformatics↗

bioRxiv2023

Signalling-state dependent drug-tolerance in head and neck squamous cell carcinoma.

Intratumor heterogeneity negatively impacts therapeutic response and patient prognosis. Besides the established role of genetic heterogeneity, non-genetic mechanisms of persistence to drug treatment are emerging. Here, we characterise cells selected for their persistence to control, epidermal growth factor inhibition (EGFRi), radiation and combined treatment from low passage head and neck squamous cell carcinoma (HNSCC) cultures. Using a panel of 70 (phospho-)specific DNA-conjugated antibodies we measured activities of 8 signalling pathways, self-renewal, differentiation, DNA damage and cell-cycle, in conjunction with the transcriptional output in single cells, using our RNA and Immuno-Detection (RAID) technology. Six recurrent transcriptional programs reflecting processes including proliferation, differentiation and metabolic activity, as well as protein-based signalling-states, were associated with drug persistence, while copy number variation inference indicated involvement of non-genetic tolerance mechanisms. Projecting RNA velocity onto the antibody-derived signalling-states suggested a key role for integrin-mediated focal-adhesion signalling in drug-persistence in our cell system. Using machine-learning we derived a core transcriptional signature connected to adhesion-based drug-persistence, which was predictive of poor prognosis in a TGCA HNSCC cohort (hazard-ratio 1.87, p<10-5). Furthermore, functional analyses confirmed that cells expressing high levels of integrin alpha-6 (ITGA6) were tolerant to EGFRi treatment, and that forcing cells out of this cell-state through transient targeted inhibition of Focal Adhesion Kinase activity re-instated EGFRi sensitivity in drug persistent cells. Taken together, our single-cell multi-omics analysis identified an actionable adhesion-signalling mediated cell-state driving drug tolerance in HNSCC.

systems biology↗

bioRxiv2020

Single-cell intracellular epitope and transcript detection revealing signal transduction dynamics

Current high-throughput single-cell multi-omics methods cannot concurrently map changes in (phospho)protein levels and the associated gene expression profiles. We present QuRIE-seq (Quantification of RNA and Intracellular Epitopes by sequencing) and use multi-factor omics analysis (MOFA+) to map signal transduction over multiple timescales. We demonstrate that QuRIE-seq can trace the activation of the B-cell receptor pathway at the minute and hour time-scale and provide insight into the mechanism of action of an inhibitory drug, Ibrutinib.

molecular biology↗

bioRxiv2019

NCOR1 AND OCT4 FACILITATE EARLY REPROGRAMMING BY CO-SUPPRESSING FIBROBLAST GENE EXPRESSION

Reprogramming somatic cells to induced pluripotent stem cells (iPSC) succeeds only in a small fraction of cells within the population. Reprogramming occurs in distinctive stages, each facing its own bottlenecks. It initiates with overexpression of transcription factors OCT4, SOX2, KLF4 and c-MYC (OSKM) in somatic cells such as mouse embryonic fibroblasts (MEFs). OSKM bind chromatin, silencing the somatic identity and starting the stepwise reactivation of the pluripotency program. However, inefficient suppression of the somatic lineage leads to unwanted epigenetic memory from the tissue of origin, even in successfully generated iPSCs. Thus, it is essential to shed more light on chromatin regulators and processes involved in dissolving the somatic identity. Recent work characterized the role of transcriptional co-repressors NCOR1 and NCOR2 (also known as NCoR and SMRT), showing that they cooperate with c-MYC to silence pluripotency genes during late reprogramming stages. NCOR1/NCOR2 were also proposed to be involved in silencing fibroblast identity, however it is unclear how this happens. Here, we shed light on the role of NCOR1 in early reprogramming. We show that siRNA-mediated ablation of NCOR1 and OCT4 results in very similar phenotypes, including transcriptomic changes and highly correlated high content colony phenotypes.. Both NCOR1 and OCT4 bind to promoters co-occupied by c-MYC in MEFs. During early reprogramming, downregulation of one group of somatic MEF-expressed genes requires both NCOR1 and OCT4, whereas another group of MEF-expressed genes is downregulated by NCOR1 but not OCT4. Our data suggest that NCOR1, assisted by OCT4 and c-MYC, facilitates transcriptional inactivation of genes with high expression in MEFs, which need to be suppressed to bypass an early reprogramming block. This way, NCOR1 facilitates early reprogramming progression.

developmental biology↗

bioRxiv2018

Wdr5, Brca1 and Bard1 link the DNA damage response to the mesenchymal-to-epithelial transition during early reprogramming.

Differentiated cells are epigenetically stable, but can be reprogrammed to pluripotency by expression of the OSKM transcription factors. Despite significant effort, relatively little is known about the cellular requirements for reprogramming and how they affect the properties of induced pluripotent stem cells (iPSC). We have performed high-content screening with siRNAs targeting 300 chromatin-associated factors. We used colony features, such as size and shape, as well as strength and homogeneity of marker gene expression to define five colony phenotypes in early reprogramming. We identified transcriptional signatures associated with these phenotypes in a secondary RNA sequencing screen. One of these phenotypes involves large colonies and an early block of reprogramming. Double knockdown epistasis experiments of the genes involved, revealed that Brca1, Bard1 and Wdr5 functionally interact and are required for both the DNA damage response and the mesenchymal-to-epithelial transition (MET), linking these processes. Moreover, the data provide a resource on the role of chromatin-associated factors in reprogramming and underline colony morphology as an important high dimensional readout for reprogramming quality.

developmental biology↗

bioRxiv2018

Mutant p63 affects epidermal cell identity through rewiring the enhancer landscape

Transcription factor p63 is a key regulator of epidermal keratinocyte proliferation and differentiation. In humans mutations in p63 cause several developmental disorders with defects of ectoderm-derived structures including the epidermis. The underlying molecular mechanisms of these mutations however remain unclear. Here we characterized the transcriptome and epigenome from EEC syndrome patients carrying mutations in the p63 DNA-binding domain. The transcriptome of p63 mutant keratinocytes deviated from the normal epidermal cell identity. Epigenomic analyses showed that the deregulated gene expression in p63 mutant keratinocytes resulted from an altered enhancer landscape contributed by loss of p63-bound active enhancers and by unexpected gain of enhancers. The gained enhancers in mutant keratinocytes were frequently bound by deregulated transcription factors such as RUNX1. Reversing RUNX1 overexpression partially rescued deregulated gene expression as well as the enhancer distribution. Our findings support the pivotal role of p63 in controlling the enhancer landscape of epidermal keratinocytes and identify a novel mechanism whereby p63 DNA-binding mutations associated with EEC syndrome rewire the enhancer landscape and affect epidermal cell identity.

molecular biology↗

bioRxiv2018

Combined quantification of intracellular (phospho-)proteins and transcriptomics from fixed single cells.

Environmental stimuli often lead to heterogeneous cellular responses and transcriptional output. We developed single-cell RNA and Immunodetection (RAID) to allow combined analysis the transcriptome and intracellular (phospho-)proteins from fixed single cells. RAID successfully recapitulated differentiation-state changes at the protein and mRNA level in human keratinocytes. Furthermore, we show that differentiated keratinocytes that retain high phosphorylated FAK levels, a feature associated with stem cells, also express a selection of stem cell associated transcripts. Our data demonstrates that RAID allows investigation of heterogenenous cellular responses to environmental signals at the mRNA and phospho-proteome level.

genomics↗

bioRxiv2018

Single-cell ID-seq identifies BMP signaling as a driver of a late stage epidermal differentiation program.

AbstractEpidermal homeostasis requires balanced and coordinated adult stem cell renewal and differentiation. These processes are controlled by both extracellular signaling and by cell intrinsic transcription regulatory networks, yet how these control mechanisms are integrated to achieve this unclear. Here, we developed single-cell ID-seq and measured 69 antibody-DNA conjugates (including 34 phospho-specific epitopes) to study the activation state of signaling pathways during epidermal differentiation at the single-cell level. Computational pseudo-timing inference revealed activation of the JAK-STAT, WNT and BMP pathways along the epidermal differentiation trajectory. During differentiation, cells start producing BMP2 ligands and activate the canonical intracellular effectors SMAD1/5/9. Mechanistically, the BMP pathway is responsible for directly activating a specific transcription program that includes the key differentiation transcription factors MAF and MAFB to allow terminal differentiation. We propose that incorporating autocrine signaling pathway activation into a transcription regulatory network enables regional coordination of transcription programs during epidermal differentiation.

developmental biology↗

bioRxiv2018

Splicing and epigenetic factors jointly regulate epidermal differentiation

Epidermal homeostasis requires a continuous balance between progenitor cell proliferation and loss of differentiated cells from its surface. During this process cells undergo major changes in their transcriptional programs to accommodate new cellular functions. We found that transcriptional and post-transcriptional mechanisms underlying these changes are functionally connected and jointly control genes involved in cell adhesion, a key process in epidermal maintenance. Using siRNA-based perturbation screens, we identified novel DNA/RNA binding regulators of epidermal differentiation. Computational modeling and experimental validation identified functional interactions between the matrin-type 2 zinc-finger protein ZMAT2 and the epigenetic modifiers ING5, SMARCA5, BRD1, UHRF1, BPTF, SMARCC2. ZMAT2 is required to keep cells in an undifferentiated, proliferative state and quantitative proteomics identified ZMAT2 as an interactor of the pre-spliceosome. RNA-Immunoprecipitation and transcriptome-wide RNA splicing analysis showed that ZMAT2 associates with and regulates transcripts involved in cell adhesion in conjuction with ING5. Thus, joint control by post-transcriptional and epigenetic mechanisms is important to maintain epidermal cells in an undifferentiated state.\n\nHighlights- Gene-perturbation screens identify a role for ZMAT2 in the control of human epidermal differentiation.\n- ZMAT2 functionally interacts with known epigenetic regulators of epidermal differentiation.\n- ZMAT2 interacts with the pre-spliceosome and transcripts involved in cell adhesion.\n- ZMAT2 mediated splicing and epigenetic control jointly target an adhesion related transcriptional program in human epidermal stem cells.

systems biology↗

bioRxiv2017

Immuno-Detection by sequencing (ID-seq) enables large-scale high-dimensional phenotyping in cells.

Cell-based small molecule screening is an effective strategy leading to new medicines. Scientists in the pharmaceutical industry as well as in academia have made tremendous progress in developing both large-scale and smaller-scale screening assays. However, an accessible and universal technology for measuring large numbers of molecular and cellular phenotypes in many samples in parallel is not available. Here, we present the Immuno-Detection by sequencing (ID-seq) technology that combines antibody-based protein detection and DNA-sequencing via DNA-tagged antibodies. We used ID-seq to simultaneously measure 84 (phospho-)proteins in hundreds of samples and screen the effects of ~300 kinase inhibitor probes on primary human epidermal stem cells to characterise the role of 225 kinases. Our work highlighted a previously unrecognized downregulation of mTOR signaling during differentiation and uncovered 13 kinases regulating epidermal renewal through distinct mechanisms.

genomics↗