Biology subjects

Douche, T.

Publications and source records attributed to Douche, T..

At least 19 recordsLinked to original sources

bioRxiv2026

Targeting Sec61 to Silence Pathogenic Light-Chain Production in AL Amyloidosis

Unstable immunoglobulin light chains (LCs) secreted by clonal plasma cells drive organ damage in AL amyloidosis, yet no therapy exist to directly suppress their biosynthesis. Here, we targeted the Sec61 translocon to block LC biogenesis. In patient-derived plasma cells, the Sec61 blocker mycolactone redirected nascent LCs to proteasomal degradation, inducing proteotoxic stress that synergized with bortezomib. In vivo, this combination reduced plasma-cell engraftment and LC secretion but caused toxicity, underscoring the need for Sec61 client selectivity. Proteomic profiling of a model patient-derived plasma cell line treated with the synthetic Sec61 inhibitors A317 and A347 revealed intermediate- and narrow-spectrum client selectivity, respectively, while retaining activity against the LC. However, unlike A317, the more selective A347 failed to inhibit diverse amyloidogenic LCs in a signal-peptide reporter assay. In primary plasma cells from an AL cohort, A317 consistently reduced pathogenic LC production while sparing matched non-malignant bone marrow cells. Together, these findings establish Sec61 as a therapeutic target in AL amyloidosis and identify the need to balance client selectivity with coverage of diverse amyloidogenic LC signal peptides.

cell biology↗

bioRxiv2026

A generalizable normalization framework to decouple protocol and instrument effects: Application to high-sensitivity proteomics multicentric study (PME13)

Multicenter studies are essential for benchmarking analytical workflows, yet their interpretation is often confounded by the combined effects of experimental protocols and instrumentation. To address this challenge, we introduce a simple normalization-based analytical framework, the recovery metric ({rho}), designed to decouple protocol driven effects from instrument dependent variability. We applied this framework to the 13th Proteomics Multicentric Experiment (PME13), a large multicentric proteomics dataset generated across 27 laboratories using high sensitivity workflows and varying sample preparation protocols. By leveraging a common digested reference sample, {rho} enables direct cross-comparison of all datasets on a unified scale, effectively minimizing instrument-related biases. Using this approach, we demonstrate that apparent instrument dependent trends are largely removed when evaluated through {rho}, revealing consistent protocol driven effects across laboratories. Statistical modeling identified key variables influencing {rho}, including sample input amount, reduction and alkylation, and the use of n-dodecyl-{beta}-D-maltoside (DDM). While DDM was associated with improved {rho}, reduction and alkylation and additional handling steps led to reduced performance, particularly at low input levels. We further highlight practical considerations for the application of ratio based normalization, including the occurrence of values exceeding theoretical bounds, which reflect deviations from underlying assumptions and require appropriate filtering. Overall, this work establishes a generalizable analytical strategy for disentangling confounding factors in multicentric datasets and provides practical guidelines for optimizing high sensitivity proteomics (HSP) workflows. The proposed framework is broadly applicable to other analytical fields where cross laboratory comparability is required.

bioinformatics↗

bioRxiv2026

diagFDR: Verifiable False Discovery Rate Reporting in Proteomics via Scope, Calibration, and Stability Diagnostics

AO_SCPLOWBSTRACTC_SCPLOWIn mass spectrometry-based proteomics, false discovery rate (FDR) control underpins the credibility of peptide and protein identifications. In contemporary workflows, including multi-run Data Independent Acquisition (DIA), deep learning-assisted scoring, library-free searches, and extensive post-processing, the statement "1% FDR" has become increasingly ambiguous, potentially referring to different statistical entities, multiple-testing scopes, and null models. We propose a standardized framework requiring explicit specification of three complementary properties: "scope", meaning which statistical universe is controlled; "calibration", meaning whether confidence measures behave consistently with their intended interpretation on the reported unit; and "stability", meaning whether acceptance thresholds and resulting identification lists remain robust to perturbations. Building on routine target/decoy outputs, we introduce pipeline-agnostic diagnostics that audit internal coherence of scores, q-values, and posterior error probabilities, quantify tail support and cutoff fragility, and test plausibility of target-decoy assumptions. We further complement internal checks with external validation via entrapment, which measures empirical false positives on knownabsent sequences. We highlight a "granularity paradox": as scoring becomes more discriminative, decoy matches can become so sparse near stringent cutoffs that the numerical support for decoy-based estimation deteriorates, making reported FDR thresholds increasingly fragile despite improved separation between the distributions of target and decoy scores. Applications to DIA-NN and MS2Rescore show that scope and aggregation choices can materially alter both estimated error rates and list reproducibility. We provide a practical reporting checklist and an open-source R package (diagFDR, available from CRAN) that generates diagnostic reports from standard software outputs. As a minimal verifiable reporting standard, we recommend that any "FDR = %" claim specify the controlled unit and scope, report tail support at the operating cutoff, and make decoy-inclusive outputs available for independent verification. HighlightsO_LIFDR claims can be misleading without explicit scope, calibration, and stability assessment. C_LIO_LIdiagFDR introduces pipeline-agnostic diagnostics from standard software outputs. C_LIO_LIThe granularity paradox shows sparse decoy tails can make stringent cutoffs numerically fragile. C_LIO_LICase studies show that scope misuse and rescoring can affect both error rates and stability. C_LIO_LIdiagFDR produces reviewer-ready reports and a practical reporting checklist. C_LI

bioinformatics↗

bioRxiv2026

High-quality proteins and RNAs extracted from exact same samples for proteomics and RNA-Seq analyses

Back to the 1990 the single step method developed by Chomczynski and Sacchi for RNA isolation was extended for sequential isolation of RNA, DNA and proteins from a same sample. Although the quality of the extracted RNA turned compatible with RNA-Seq analyses, the extraction of the protein fraction from the same sample was time-consuming and resulting in low yield and quality of proteins not compatible with LC-MS proteomic analyses. Here we report a novel procedure by isolating in parallel the protein fraction and the RNA fraction from the same exact minute mosquito samples. We provide evidence that each cognate fractions are compatible with LC-MS proteomic analysis on the one hand and RNA-Seq analysis on the other hand. This protocol is simple, time efficient and adequate for studies involving limited sample size and could be applied easily to a broad range of animal and human samples.

molecular biology↗

bioRxiv2026

Oral Fumarate-based drugs alter gut microbiota species via cysteine succination

Mono- and dimethyl fumarates are oral fumarate esters widely prescribed for relapsing-remitting multiple sclerosis and psoriasis. While these drugs appear to be effective, their effects on the gut microbiota and their precise bacterial targets remain unclear. In this study, we investigated how these drugs affect bacteria through a chemical modification called succination, where they react with protein thiol groups (-SH), particularly in cysteine residues. Using proteomics, enzymology and microscopy, we show how this post-translational modification disrupts several key bacterial functions and triggers oxidative and protein stress in E.coli. We also found that fumarate esters can be toxic to various gut bacteria in isolated cultures. Notably, our results demonstrate that when bacteria are studied together in microbial communities, the effect of fumarates can change, either weakening or intensifying. Our findings thus shed light on fumarate esters and microbiota interactions and allow identifying new molecular targets of succination relevant to microbiome health.

microbiology↗

bioRxiv2025

Plasma protein biomarkers for the early detection of gastric preneoplasia and cancer: a prospective study

Gastric cancer (GC) often presents a poor prognosis due to its asymptomatic phenotype at early stages. Upper endoscopy, the current gold standard for diagnosis, is invasive with limited sensitivity for detecting gastric preneoplasia. Non-invasive biomarkers, such as blood circulating proteins offer a promising alternative for an early detection. Using mass spectrometry-based proteomics we identified plasma proteins as biomarkers of the presence of gastric preneoplasia and cancer lesions in an exploratory subgroup of patients (n=39). Fifteen promising protein candidates emerged to distinguish patient categories and were further confirmed by enzyme-linked immunosorbent assays (ELISA) in plasma samples from a cohort of 138 participants. Our predictive models demonstrated high classification performance with a minimal set of biomarkers, making them clinically applicable. Repeated cross-validations yielded high Area Under the Receiver Operating Characteristics (AUROC) values, notably distinguishing cancerous or precancerous cases from non-cancerous ones. Leveraging simple blood sampling, this strategy holds promise to detect high-risk gastric lesions, even at asymptomatic stages. Such an approach could significantly improve early detection and clinical management of GC, offering direct benefit for patients.

cancer biology↗

bioRxiv2025

Mapping regulatory networks underlying Leishmania stage differentiation reveals an essential role for protein degradation in parasite development

Vector-borne, protist parasites have evolved complex developmental programs to adapt to very distinct host environments. How these important pathogens transition between insect and mammalian stages is only poorly understood. Here we investigate stage differentiation in the trypanosomatid parasite Leishmania that shows constitutive gene transcription, thus providing a unique model system to assess how development is governed by post-transcriptional mechanisms. Using a five-layer integrative systems analysis (from genome to metabolome), we examined hamster-isolated Leishmania donovani amastigotes and culture-derived, insect-stage promastigotes. This approach enabled us to rule out genomic adaptation as a key driver of parasite stage differentiation, while confirming the pivotal role of differential mRNA turnover in stage-specific gene expression. Assessing transcriptomic against proteomic expression changes uncovered an unexpectedly broad dynamic range of stage-regulated changes in protein abundance that only poorly correlated with mRNA levels. This discrepancy correlated with (i) alterations in snoRNA expression and changes in rRNA modification they guide suggesting stage-specific adaptation of the protein translation apparatus that can uncouple mRNA from protein abundancies, and (ii) differential protein degradation as revealed by quantitative proteomics of parasites treated with the proteasomal inhibitor lactacystin. Lactacystin treatment stalled the transition of spleen-derived amastigotes into promastigotes in culture, further underscoring the role of proteasomal activity in stage differentiation. Integration of our five-layer systems analysis established the first link between Leishmania development and the expression of co-regulated genetic networks encompassing mRNA turnover, protein translation, phosphorylation, and degradation. Our findings provide a powerful new resource for research programs that aim to dissect the emergent properties of regulatory networks and feedback loops underlying Leishmania stage differentiation, serving as a blueprint for other vector-borne pathogens that rely on disease-associated developmental transitions.

systems biology↗

bioRxiv2024

Influenza A virus-induced production of PI4P at the endoplasmic reticulum involves ATG16L1 and promotes the egress of viral ribonucleoproteins

The genomic RNAs of influenza A viruses (IAVs) are replicated in the nucleus of infected cells in the form of viral ribonucleoproteins (vRNP) before being exported to the cytoplasm. The small GTPase RAB11A is involved in the transport of vRNPs to the sites of viral assembly at the plasma membrane, but the molecular mechanisms involved remain largely unknown. Here we show that IAV infection remodels the architecture of the endoplasmic reticulum (ER) sheets, where vRNPs tend to accumulate in the absence of RAB11A. To decipher the interplay between RAB11A, vRNPs and the ER, we investigated viral-induced perturbations of RAB11A proximity interactome. To this end, we generated cells stably expressing a TurboID-RAB11A fusion protein and performed biotin-based proximity labeling upon viral infection. We found that cellular regulators of phophatidylinositol-4-phosphate (PI4P) homeostasis, including the autophagic and stress response protein ATG16L1, are significantly enriched at the vicinity of RAB11A in infected cells. Infection induces an increase in cellular PI4P levels in an ATG16L1-dependent manner, while ATG16L1 relocalizes to ER membranes upon infection. Depletion of ATG16L1 decreases the co-distribution of vRNPs with PI4P punctae on ER membranes, and reduces the accumulation of vRNPs at the plasma membrane as well as the production of IAV infectious particles. Our data extend to IAVs the notion that viruses can modulate the metabolism and localization of phosphoinositides to control host membrane dynamics and point to the ER as an essential platform for vRNP transport. They provide evidence for a pivotal role of ATG16L1 in regulating the identity of endomembranes and coordinating RAB11A and PI4P-enriched membranes to ensure delivery of vRNPs to the plasma membrane.

microbiology↗

bioRxiv2024

Biogenesis of DNA-carrying extracellular vesicles by the dominant human gut methanogenic archaeon

Extracellular vesicles (EVs) are membrane-bound particles secreted by cells from all domains of life and implicated in a variety of important processes, from intercellular communication to pathogenesis. Here, we characterize EVs produced by the dominant human gut methanogen, Methanobrevibacter smithii, which, unlike most archaea, contains a peptidoglycan cell wall. Using quantitative proteomics, we show that M. smithii EVs are enriched in various proteins responsible for chromatin structure, including histones, and DNA repair. Consistently, the M. smithii EVs carry DNA, with fragments covering the entire cellular chromosome. Notably, the EVs are strongly enriched in extrachromosomal circular DNA (eccDNA) molecules which originate from excision of a 2.9-kb chromosomal fragment and a proviral genome. The eccDNA encodes two of the key methanogenesis enzymes and could boost their expression inside the cells through the gene dosage effect. Furthermore, four of the top ten most abundant EV proteins are implicated in methanogenesis. Cryo-electron tomography (Cryo-ET) suggests that EVs are formed by budding from the cell membrane and are trapped under the cell wall prior to liberation through local disruptions in the cell wall. Collectively, our results reveal parallels with EV biogenesis in bacteria and suggest that M. smithii EVs facilitate the export of both cellular and viral DNA as well as key metabolic proteins in the gut environment, with potential impact on methane production.

microbiology↗

bioRxiv2024

In-host evolution of Yersinia enterocolitica during a chronic human infection

Following a pacemaker implantation, a 75-years-old patient suffered from five successive bacteremia episodes between in 1999 and 2013 despite long-term antibiotic treatment, with intermittent vegetation apparition on the device atrial lead. Four blood isolates, identified as Yersinia enterocolitica bioserotype 4/O:3, were further genetically and phenotypically characterized. Phylogenetic reconstruction showed that the patient was chronically infected by the same strain, which evolved within the host for 14 years. Single-nucleotide polymorphism (SNP) analysis indicates that the last two isolates evolved in parallel and formed two independent lineages within the host. Pan-genome analysis and genome comparison showed that their common evolution was characterized by 41 small insertion/deletion events, loss of three large DNA fragments and mutations in 140 genes. A phylogenetic analysis by maximum likelihood identified two genes presenting a positive selection signal, suggesting that these mutations provided a survival advantage to bacteria during chronic infection. Quinolone resistance in the last two isolates was acquired through a so far undescribed deletion in the gyrA gene. Mass-spectrometry analysis revealed a strong proteome remodeling in the last two isolates which was correlated with a truncation in the stringent response regulator DksA. A reduced carbon, energy and purine metabolism supports their severe growth defects in vitro. 3rd-generation cephalosporin resistance of the last isolate was correlated with a truncation of OmpF, the main porin translocating antibiotics through the outer-membrane, as well as an increased production of BlaA and AmpC {beta}-lactamases. This is the first report of genetic and phenotypic changes associated to within-host adaptation of a pathogenic Yersinia species under antibiotic pressure.

microbiology↗

bioRxiv2024

A multi-year longitudinal harmonization of quality controls in mass spectrometry proteomics core facilities

Quality control procedures play a pivotal role in ensuring the reliability and consistency of data generated in mass spectrometry-based proteomics laboratories. However, the lack of standardized quality control practices across laboratories poses challenges for data comparability and reproducibility. In response, we conducted a harmonization study within proteomics laboratories of the Core for Life alliance with the aim to establish a common quality control framework, which facilitates comprehensive quality assessment and identification of potential sources of performance drift. Through collaborative efforts, we developed a consensus quality control standard for longitudinal assessment and we adopted a common processing software. We generated a 4-year longitudinal dataset from multiple instruments and laboratories, which enabled us to assess intra- and inter-laboratory variability, to identify causes of performance drift, and to establish community reference values for several quality control parameters. Our study enhances data comparability and reliability and fosters a culture of collaboration and continuous improvement within the proteomics community to ensure the integrity of proteomics data.

biochemistry↗

bioRxiv2023

Dual proteomic signature of immune cells and Yersinia pestis upon blood infection

Emerging and reemerging infectious diseases represent major public health concerns. The urgent need for infection control measures requires deep understanding of molecular pathogenesis. Global approaches to study biological systems such as mass-spectrometry based proteomics benefited from groundbreaking physical and bioinformatical technological developments over recent years. However, dual proteomic study of highly pathogenic microorganisms and their hosts in complex matrices encountered during infection remains challenging due to high protein dynamic range of samples and requirements imposed in biosafety level 3 or 4 laboratories. Here, we constructed a dual proteomic pipeline of Yersinia pestis in human blood and plasma, mirroring bacteremic phase of plague. We provide the most complete Y. pestis proteome revealing a major reshaping of important bacterial path-ways such as methionine biosynthesis and iron acquisition in human plasma. Remarkably, proteomic profiling in human blood highlights a greater Yersinia outer proteins intoxication of monocytes than neutrophils. Our study unravels global expression changes and points to a specific pathogenic signature during infection, paving the way for future exploration of proteomes in the complex context of host-pathogen interactions. Subject CategoriesMicrobiology, Virology and Host Pathogen Interaction, Proteomics

systems biology↗

bioRxiv2023

The RBPome of influenza A virus mRNA reveals a role for TDP-43 in viral replication

Recent technical advances have significantly improved our understanding of the RNA-binding protein (RBP) repertoire present within eukaryotic cells, with a particular focus on the RBPs that interact with cellular polyadenylated mRNAs. However, recent studies utilising the same technologies have begun to tease apart the RBP interactome of viral mRNAs, notably SARS-CoV-2, revealing both similarities and differences between the RBP profiles of viral and cellular mRNAs. Herein, we comprehensively identified the RBPs that associate with the NP mRNA of an influenza A virus. Moreover, we provide evidence that the viral polymerase is essential for the recruitment of RPBs to viral mRNAs through direct polymerase-RBP interactions during transcription. We show that loss of TDP-43, which associates with the viral mRNAs, results in lower levels of viral mRNAs within infected cells, and a decreased yield of infectious viral particles. Overall, our results uncover an important role for TDP-43 in the influenza A virus replication cycle via a direct interaction with viral mRNAs, and point to a role of the viral polymerase in orchestrating the assembly of viral mRNPs.

microbiology↗

bioRxiv2021

Amphiregulin mediates non-cell-autonomous effect of senescence on reprogramming

Cellular senescence is an irreversible growth arrest with a highly dynamic secretome, termed the senescence-associated secretory phenotype (SASP). Senescence has been implicated in somatic reprogramming to pluripotency. The cell-intrinsic proliferation arrest is a barrier for reprogramming, whereas the SASP facilitates the cell fate conversion in nonsenescent cells. However, the mechanisms by which reprogramming-induced senescence regulates cell plasticity are not well understood. Here, we have further investigated how the heterogeneity of paracrine senescence impacts reprogramming. We show that senescence promotes in vitro reprogramming in a stress-dependent manner. We identified a catalog of SASP factors and pathways potentially involved in the cell fate conversion using an unbiased proteomic analysis. Amphiregulin (AREG), a growth factor frequently secreted by the senescent cells, promotes in vitro reprogramming by accelerating proliferation and MET via the EGFR signaling pathway. Of note, AREG treatment diminished the negative effect of donor age on reprogramming. Finally, AREG enhances in vivo reprogramming in the skeletal muscle. Hence, senescence could facilitate cellular plasticity via various SASP factors to promote reprogramming and tissue repair.

cell biology↗

bioRxiv2021

Acetylation regulates the oligomerization state and activity of RNase J, the major ribonuclease of Helicobacter pylori

In Helicobacter pylori, post-transcriptional regulation strongly relies on the activity of an RNA degradosome, composed of the essential ribonuclease RNase J and the DEAD-box RNA helicase RhpA. Here, we describe post-translational modifications of this protein complex that affect its activity. Cell-extracted RNase J is acetylated on multiple residues, one of which, K649, strongly impacts RNase J oligomerization, which in turn influences ribonuclease activity. Corroborating the link between oligomerization and activity, mutations targeting K649 and other residues affect the dimerization and in vitro activity of RNase J. Our crystal structure of RNase J reveals three loops that gate access to the active site and rationalizes how oligomerization state influences activity. The acetylated residues of RNase J are important for H. pylori morphology, highlighting that the modifications affect the RNase J cellular function. We propose acetylation as a regulatory level controlling the activity of RNase J and the H. pylori RNA degradosome.

microbiology↗

bioRxiv2021

Post-transcriptional regulation of Leishmania fitness gain

The protozoan parasite Leishmania donovani causes fatal human visceral leishmaniasis in absence of treatment. Genome instability has been recognized as a driver in Leishmania fitness gain in response to environmental change or chemotherapy. How genome instability generates beneficial phenotypes despite potential deleterious gene dosage effects is unknown. Here we address this important open question applying experimental evolution and integrative systems approaches on parasites adapting to in vitro culture. Phenotypic analyses of parasites from early and late stages of culture adaptation revealed an important fitness tradeoff, with selection for accelerated growth in promastigote culture (fitness gain) impairing infectivity (fitness costs). Comparative genomics, transcriptomics and proteomics analyses revealed a complex regulatory network driving parasite fitness, with genome instability causing highly reproducible, gene dosage-dependent changes in protein abundance linked to post-transcriptional regulation. These in turn were associated with a gene dosage-independent reduction in abundance of flagellar transcripts and a coordinated increase in abundance of coding and non-coding RNAs implicated in ribosomal biogenesis and protein translation. We correlated differential expression of small nucleolar RNAs (snoRNAs) with changes in rRNA modification, providing first evidence that Leishmania fitness gain in culture may be controlled by post-transcriptional and epitranscriptomic regulation. Our findings propose a novel model for Leishmania fitness gain in culture, where differential regulation of mRNA stability and the generation of fitness-adapted ribosomes may potentially filter deleterious from beneficial gene dosage effects and provide proteomic robustness to genetically heterogenous, adapting parasite populations. This model challenges the current, genome-centric approach to Leishmania epidemiology and identifies the Leishmania transcriptome and non-coding small RNome as potential novel sources for the discovery of biomarkers that may be associated with parasite phenotypic adaptation in clinical settings.

microbiology↗

bioRxiv2020

Ser/Thr kinase-dependent phosphorylation of the peptidoglycan hydrolase CwlA controls its export and modulates cell division in Clostridioides difficile

Cell growth and division require a balance between synthesis and hydrolysis of the peptidoglycan (PG). Inhibition of PG synthesis or uncontrolled PG hydrolysis can be lethal for the cells, making it imperative to control peptidoglycan hydrolase (PGH) activity. The serine/threonine kinases (STKs) of the Hanks family control cell division and envelope homeostasis, but only a few kinase substrates and associated molecular mechanisms have been identified. In this work, we identified CwlA as the first STK-PrkC substrate in the human pathogen Clostridiodes difficile and showed that CwlA is an endopeptidase involved in daughter cell separation. We demonstrated that PrkC-dependent phosphorylation inhibits CwlA export, therefore controlling the hydrolytic activity in the cell wall. High level of CwlA at the cell surface led to cell elongation, whereas low level caused cell separation defects. We thus provided evidence that the STK signaling pathway regulates PGH homeostasis to precisely control PG hydrolysis during cell division.

microbiology↗

bioRxiv2020

Phosphoproteomics identifies PI3K inhibitor-selective adaptive responses in pancreatic cancer cell therapy and resistance

The PI3K pathway is highly active in human cancers. The four class I isoforms of PI3K are activated by distinct mechanisms leading to a common downstream signaling. Their downstream redundancy is thought to be responsible for treatment failures of PI3K inhibitors. We challenged this concept, by mapping the differential phosphoproteome evolution in response to PI3K inhibitors with different isoform selectivity patterns in pancreatic cancer, a disease currently without effective therapy. In this cancer, the PI3K signal was shown to control cell proliferation. We compared the effects of LY294002 that inhibit with equal potency all class I isoenzymes and downstream mTOR with the action of inhibitors with higher isoform-selectivity towards PI3K, PI3K{beta} or PI3K{gamma} (namely A66, TGX-221 and AS-252424). A bioinformatics global pathway analysis of phosphoproteomics data allowed us to identify common and specific signals activated by PI3K inhibitors supported by the biological data. AS-252424 was the most effective treatment and induced apoptotic pathway activation as well as the highest changes in global phosphorylation-regulated cell signal. However, AS-252424 treatment induced re-activation of Akt, therefore decreasing the treatment outcome on cell survival. Reversely, AS-252424 and A66 combination treatment prevented p-Akt reactivation and led to synergistic action in cell lines and patient organoids. The combination of clinically approved -selective BYL-719 with {gamma}-selective IPI-549 was more efficient than single molecule treatment on xenograft growth. Mapping unique adaptive signaling responses to isoform-selective PI3K inhibition will help to design better combinative treatments that prevent the induction of selective compensatory signals. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=108 SRC="FIGDIR/small/313833v3_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@32004eorg.highwire.dtl.DTLVardef@b22f25org.highwire.dtl.DTLVardef@352a98org.highwire.dtl.DTLVardef@7f97a1_HPS_FORMAT_FIGEXP M_FIG C_FIG SignificanceHalf of all human cancers show increased PI3K activity but the mutational pattern of the PI3K pathway is not sufficient to predict sensitivity to PI3K inhibitors. By identifying for the first time specific signaling induced by PI3K inhibitors with different isoform-selectivity patterns, we provide insight in how to handle heterogeneity of PI3K expression in tumor samples for the choice of available PI3K-targetting drugs. Our work provides a roadmap to target the PI3K pathway, balancing the use of isoform-selective PI3K inhibitors with personalized information extending beyond the specific mutational status.

cancer biology↗