Wilbert Zwart

Activation of endosomal dynein motors by stepwise assembly of Rab7–RILP–p150Glued, ORP1L, and the receptor βlll spectrin

The small GTPase Rab7 controls late endocytic transport by the minus end–directed motor protein complex dynein–dynactin, but how it does this is unclear. Rab7-interacting lysosomal protein (RILP) and oxysterol-binding protein–related protein 1L (ORP1L) are two effectors of Rab7. We show that GTP-bound Rab7 simultaneously binds RILP and ORP1L to form a RILP–Rab7–ORP1L complex. RILP interacts directly with the C-terminal 25-kD region of the dynactin projecting arm p150Glued, which is required for dynein motor recruitment to late endocytic compartments (LEs). Still, p150Glued recruitment by Rab7–RILP does not suffice to induce dynein-driven minus-end transport of LEs. ORP1L, as well as βIII spectrin, which is the general receptor for dynactin on vesicles, are essential for dynein motor activity. Our results illustrate that the assembly of microtubule motors on endosomes involves a cascade of linked events. First, Rab7 recruits two effectors, RILP and ORP1L, to form a tripartite complex. Next, RILP directly binds to the p150Glued dynactin subunit to recruit the dynein motor. Finally, the specific dynein motor receptor Rab7–RILP is transferred by ORP1L to βIII spectrin. Dynein will initiate translocation of late endosomes to microtubule minus ends only after interacting with βIII spectrin, which requires the activities of Rab7–RILP and ORP1L.

Cholesterol sensor ORP1L contacts the ER protein VAP to control Rab7-RILP-p150Glued and late endosome positioning

Late endosomes (LEs) have characteristic intracellular distributions determined by their interactions with various motor proteins. Motor proteins associated to the dynactin subunit p150Glued bind to LEs via the Rab7 effector Rab7-interacting lysosomal protein (RILP) in association with the oxysterol-binding protein ORP1L. We found that cholesterol levels in LEs are sensed by ORP1L and are lower in peripheral vesicles. Under low cholesterol conditions, ORP1L conformation induces the formation of endoplasmic reticulum (ER)–LE membrane contact sites. At these sites, the ER protein VAP (VAMP [vesicle-associated membrane protein]-associated ER protein) can interact in trans with the Rab7–RILP complex to remove p150Glued and associated motors. LEs then move to the microtubule plus end. Under high cholesterol conditions, as in Niemann-Pick type C disease, this process is prevented, and LEs accumulate at the microtubule minus end as the result of dynein motor activity. These data explain how the ER and cholesterol control the association of LEs with motor proteins and their positioning in cells.

A Pumilio-induced RNA structure switch in p27-3′ UTR controls miR-221 and miR-222 accessibility

Key regulators of 3′ untranslated regions (3′ UTRs) are microRNAs and RNA-binding proteins (RBPs). The p27 tumour suppressor is highly expressed in quiescent cells, and its downregulation is required for cell cycle entry after growth factor stimulation. Intriguingly, p27 accumulates in quiescent cells despite high levels of its inhibitors miR-221 and miR-222 (Refs 5, 6). Here we show that miR-221 and miR-222 are underactive towards p27-3′ UTR in quiescent cells, as a result of target site hindrance. Pumilio-1 (PUM1) is a ubiquitously expressed RBP that was shown to interact with p27-3′ UTR. In response to growth factor stimulation, PUM1 is upregulated and phosphorylated for optimal induction of its RNA-binding activity towards the p27-3′ UTR. PUM1 binding induces a local change in RNA structure that favours association with miR-221 and miR-222, efficient suppression of p27 expression, and rapid entry to the cell cycle. We have therefore uncovered a novel RBP-induced structural switch modulating microRNA-mediated gene expression regulation.

Functional genetic screens for enhancer elements in the human genome using CRISPR-Cas9

Systematic identification of noncoding regulatory elements has, to date, mainly relied on large-scale reporter assays that do not reproduce endogenous conditions. We present two distinct CRISPR-Cas9 genetic screens to identify and characterize functional enhancers in their native context. Our strategy is to target Cas9 to transcription factor binding sites in enhancer regions. We identified several functional enhancer elements and characterized the role of two of them in mediating p53 (TP53) and ERα (ESR1) gene regulation. Moreover, we show that a genomic CRISPR-Cas9 tiling screen can precisely map functional domains within enhancer elements. Our approach expands the utility of CRISPR-Cas9 to elucidate the functions of the noncoding genome

Drug-induced histone eviction from open chromatin contributes to the chemotherapeutic effects of doxorubicin

DNA topoisomerase II inhibitors are a major class of cancer chemotherapeutics, which are thought to eliminate cancer cells by inducing DNA double-strand breaks. Here we identify a novel activity for the anthracycline class of DNA topoisomerase II inhibitors: histone eviction from open chromosomal areas. We show that anthracyclines promote histone eviction irrespective of their ability to induce DNA double-strand breaks. The histone variant H2AX, which is a key component of the DNA damage response, is also evicted by anthracyclines, and H2AX eviction is associated with attenuated DNA repair. Histone eviction deregulates the transcriptome in cancer cells and organs such as the heart, and can drive apoptosis of topoisomerase-negative acute myeloid leukaemia blasts in patients. We define a novel mechanism of action of anthracycline anticancer drugs doxorubicin and daunorubicin on chromatin biology, with important consequences for DNA damage responses, epigenetics, transcription, side effects and cancer therapy.

TRPM7 Is Required for Breast Tumor Cell Metastasis

TRPM7 encodes a Ca2+-permeable nonselective cation channel with kinase activity. TRPM7 has been implicated in control of cell adhesion and migration, but whether TRPM7 activity contributes to cancer progression has not been established. Here we report that high levels of TRPM7 expression independently predict poor outcome in breast cancer patients and that it is functionally required for metastasis formation in a mouse xenograft model of human breast cancer. Mechanistic investigation revealed that TRPM7 regulated myosin II-based cellular tension, thereby modifying focal adhesion number, cell-cell adhesion and polarized cell movement. Our findings therefore suggest that TRPM7 is part of a mechanosensory complex adopted by cancer cells to drive metastasis formation.

PKA-induced resistance to tamoxifen is associated with an altered orientation of ERα towards co-activator SRC-1

Resistance to tamoxifen is observed in half of the recurrences in breast cancer, where the anti‐estrogen tamoxifen acquires agonistic properties for transactivating estrogen receptor α (ERα). In a previous study, we showed that protein kinase A (PKA)‐mediated phosphorylation of serine 305 (S305) of ERα results in resistance to tamoxifen. Now, we demonstrate that phosphorylation of S305 in ERα by PKA leads to an altered orientation between ERα and its coactivator SRC‐1, which renders the transcription complex active in the presence of tamoxifen. This altered orientation involves the C‐termini of ERα and SRC‐1, which required a prolonged AF‐1‐mediated interaction. This intermolecular reorientation as a result of PKA‐mediated phosphorylation of ERα‐S305 and tamoxifen binding provides a unique model for resistance to the anticancer drug tamoxifen.

Identification of a pharmacologically tractable Fra-1/ADORA2B axis promoting breast cancer metastasis

Metastasis confronts clinicians with two major challenges: estimating the patients risk of metastasis and identifying therapeutic targets. Because they are key signal integrators connecting cellular processes to clinical outcome, we aimed to identify transcriptional nodes regulating cancer cell metastasis. Using rodent xenograft models that we previously developed, we identified the transcription factor Fos-related antigen-1 (Fra-1) as a key coordinator of metastasis. Because Fra-1 often is overexpressed in human metastatic breast cancers and has been shown to control their invasive potential in vitro, we aimed to assess the implication and prognostic significance of the Fra-1–dependent genetic program in breast cancer metastasis and to identify potential Fra-1–dependent therapeutic targets. In several in vivo assays in mice, we demonstrate that stable RNAi depletion of Fra-1 from human breast cancer cells strongly suppresses their ability to metastasize. These results support a clinically important role for Fra-1 and the genetic program it controls. We show that a Fra-1–dependent gene-expression signature accurately predicts recurrence of breast cancer. Furthermore, a synthetic lethal drug screen revealed that antagonists of the adenosine receptor A2B (ADORA2B) are preferentially toxic to breast tumor cells expressing Fra-1. Both RNAi silencing and pharmacologic blockade of ADORA2B inhibited filopodia formation and invasive activity of breast cancer cells and correspondingly reduced tumor outgrowth in the lungs. These data show that Fra-1 activity is causally involved in and is a prognostic indicator of breast cancer metastasis. They suggest that Fra-1 activity predicts responsiveness to inhibition of pharmacologically tractable targets, such as ADORA2B, which may be used for clinical interference of metastatic breast cancer.

Oestrogen receptor–co‐factor–chromatin specificity in the transcriptional regulation of breast cancer

The complexity of oestrogen receptor α (ERα)‐mediated transcription is becoming apparent, but global insight into the co‐regulatory proteins that assist ERα transcription is incomplete. Here, we present the most comprehensive chromatin‐binding landscape of ERα co‐regulatory proteins to date. We map by ChIP‐seq the essential p160 co‐regulators (SRC1, SRC2 and SRC3), and the histone acetyl transferases p300 and CBP in MCF‐7 breast cancer cells. We find a complex network of co‐regulator binding, with preferential binding sites for each co‐regulator. Unlike previous suggestions, we find SRC recruitment almost exclusively following ligand treatment. Interestingly, we find specific subsets of genes regulated by ligand‐dependent and ‐independent co‐regulator recruitment. Co‐factor‐binding profiles were integrated with expression data from cell lines and primary tumour cohorts, to reveal specific transcriptional networks that influence clinical outcome. Genes that are bound by SRC3, but not other p160 proteins, have predictive value in cohorts of breast cancer patients. By generating a robust and global view of co‐factor‐binding properties, we discover new levels of co‐regulator complexity, but also reveal specific gene networks that may influence endocrine response.

Can predictive biomarkers in breast cancer guide adjuvant endocrine therapy

Personalized medicine for oestrogen receptor-α (ERα)-positive breast cancer requires predictive biomarkers for broad endocrine resistance as well as biomarkers capable of predicting resistance to a specific agent. In addition, biomarkers could be used to select patients that might benefit from the addition of treatments that do not target ERα. However, biomarker identification studies seem to be far from consistent and identified biomarkers seldom face an introduction into clinical practice. Importantly, most of the studies that seek to identify biomarkers have been performed using material from consecutive series of patients treated with tamoxifen (the most commonly prescribed ERα antagonist). Consequently, the predictive value of any biomarker identified is confounded by its prognostic value. Another important issue is the lack of differentiation between premenopausal and postmenopausal patients with breast cancer. The hormonal environment of a tumour in patients who are premenopausal is intrinsically distinct from those arising in postmenopausal women. Biomarkers of different biological mechanisms might enable the prediction of either broad endocrine resistance or resistance to a specific agent in each of these patient subtypes. Ultimately, improvements to study design are needed to establish the clinical validity of the most promising biomarkers to predict benefit from endocrine therapy.