Biology subjects

Sinha, S.

Publications and source records attributed to Sinha, S..

At least 73 records · Page 4Linked to original sources

bioRxiv2025

Optochemical control over mRNA translation by photocaged phosphorodiamidate morpholino oligonucleotides in vivo

A key regulatory step in protein synthesis is the initiation of mRNA translation. We developed an efficient, robust, and broadly applicable system for light-induced protein translation to control the production of proteins of interest and study their function. The method is based on the displacement of a single type of antisense morpholino from RNA by the uncaged guanidinium-linked morpholino (GMO)-phosphorodiamidate morpholino oligonucleotide (PMO) chimera upon UV irradiation. The GMO-PMO chimera designed here is cell-permeable and the GMO part can be produced employing a new mercury-free approach compatible with the synthesis on solid support. We demonstrate the function of this novel optochemical approach in live embryos by inducing, at desired times and locations, the expression of proteins that label specific cells, ablate tissue regions, and affect embryonic development. Together, our results demonstrate that the cell-permeable GMO-PMO chimera offers a unique strategy for controlling the function of mRNAs of interest. This method allows for the production of proteins at specific times and positions within live organisms, facilitating numerous applications in biomedical research and therapy.

developmental biology↗

bioRxiv2025

Cholesterol efflux protein, ABCA1, supports anti-cancer functions of myeloid immune cells

Although immune therapy has seen significant advances, the majority of breast and other solid tumors do not respond or quickly develop de novo resistance. One factor driving resistance is highly immune suppressive myeloid cells (MCs) such as macrophages. Previous work has established clinical links between cholesterol and cancer outcome, and that MC function can be regulated through disruption in cholesterol metabolism. Thus, we screened for proteins that were expressed in MCs, involved in cholesterol homeostasis and whose expression was associated with survival; we identify the cholesterol efflux protein ABCA1. Preclinical studies revealed that ABCA1 activity resulted in increased anti-cancer functions of macrophages: enhanced tumor infiltration, decreased angiogenic potential, reduced efferocytosis, and improved support of CD8+ T cell activity. Mechanistically, different AKT isoforms are involved, through both PI3K dependent and independent mechanisms. Assessment of human blood and breast tumors revealed correlations between ABCA1 in macrophages and angiogenic potential, VEGFA, and CD8 T cell abundance and activity, highlighting the clinical relevance of our findings. The culmination of the effects of ABCA1 on MC function were demonstrated through increased tumor growth and metastasis in mice with MC specific knockout of ABCA1. Therefore, modulating ABCA1 activity within MCs may represent a novel approach to immune therapy.

cancer biology↗

bioRxiv2025

Distinct Colitis-Associated Macrophages Drive NOD2-DependentBacterial Sensing and Gut Homeostasis

Single-cell studies have revealed that intestinal macrophages maintain gut homeostasis through the balanced actions of reactive (inflammatory) and tolerant (non-inflammatory) subpopulations. How such balance is impaired in inflammatory bowel diseases (IBD), including Crohns disease (CD) and ulcerative colitis (UC), remains unresolved. Here, we define colon-specific macrophage states and reveal the critical role of non-inflammatory colon-associated macrophages (niColAMs) in IBD recovery. Through trans-scale analyses--integrating computational transcriptomics, proteomics, and in vivo interventional studies--we identified GIV (CCDC88A) as a key regulator of niColAMs. GIV emerged as the top-ranked gene in niColAMs that physically and functionally interacts with NOD2, an innate immune sensor implicated in CD and UC. Myeloid-specific GIV depletion exacerbates infectious colitis, prolongs disease, and abolishes the protective effects of the NOD2 ligand, muramyl dipeptide, in colitis and sepsis models. Mechanistically, GIVs C-terminus binds the terminal leucine-rich repeat (LRR#10) of NOD2 and is required for NOD2 to dampen inflammation and clear microbes. The CD-associated 1007fs NOD2-variant, which lacks LRR#10, cannot bind GIV--providing critical insights into how this clinically relevant variant impairs microbial sensing and clearance. These findings illuminate a critical GIV-NOD2 axis essential for gut homeostasis and highlight its disruption as a driver of dysbiosis and inflammation in IBD.

immunology↗

bioRxiv2025

PI3K regulates TAZ/YAP and mTORC1 axes that can be synergistically targeted

Abstract/SummaryO_ST_ABSPurposeC_ST_ABSSarcomas are a heterogeneous group of cancers with few shared therapeutic targets. PI3K signaling is activated in various subsets of sarcomas, representing a shared oncogenic signaling pathway. Oncogenic PI3K signaling has been challenging to target therapeutically. An integrated view of PI3K and Hippo pathway signaling is examined to determine if this could be leveraged therapeutically. Experimental designA tissue microarray containing sarcomas of various histological types was evaluated for PTEN loss and correlated with levels of activated TAZ and YAP. PI3K and Hippo pathways were dissected in sarcoma cell lines. The role of TAZ and YAP were evaluated in a PI3K-driven mouse model. The efficacy of mTORC1 inhibition and TEAD inhibition were evaluated in sarcoma cell lines and in vivo. ResultsPI3K signaling is frequently activated in sarcomas due to PTEN loss (in 30-60%), representing a common therapeutic target. TAZ and YAP are transcriptional co-activators regulated by PI3K and drive a transcriptome necessary for tumor growth in a PI3K-driven sarcoma mouse model. Combination therapy using IK-930 (TEAD inhibitor) and everolimus (mTORC1 inhibitor) synergistically diminished proliferation and anchorage independent growth of PI3K-activated sarcoma cell lines at low, physiologically achievable doses. Furthermore, this combination therapy showed a synergistic effect in vivo, reducing tumor proliferation and size. ConclusionsTAZ and YAP are transcriptional co-activators downstream of PI3K signaling, a pathway that has lacked a well-defined oncogenic transcription factor. This PI3K-TAZ/YAP axis exists in parallel to the known PI3K-Akt-mTORC1 axis allowing for synergistic combination therapy targeting the TAZ/YAP-TEAD interaction and mTORC1 in sarcomas.

cancer biology↗

bioRxiv2025

CellSP: Module discovery and visualization for subcellular spatial transcriptomics data

Spatial transcriptomics has enabled the study of mRNA distributions within cells, a key aspect of cellular function. However, there is a dearth of tools that can identify and interpret functionally relevant spatial patterns of subcellular transcript distribution. To address this, we present CellSP, a computational framework for identifying, visualizing, and characterizing consistent subcellular spatial patterns of mRNA. CellSP introduces the concept of "gene-cell modules", which are gene sets with coordinated subcellular transcript distributions in many cells. It provides intuitive visualizations of the captured patterns and offers functional insights into each discovered module. We demonstrate that CellSP reliably identifies functionally significant modules across diverse tissues and technologies. We use the tool to discover subcellular spatial phenomena related to myelination, axonogenesis and synapse formation in the mouse brain. We find immune response-related modules that change between kidney cancer and healthy samples, and myelination-related modules specific to mouse models of Alzheimers Disease.

bioinformatics↗

bioRxiv2024

SpaceExpress: a method for comparative spatial transcriptomics based on intrinsic coordinate systems of tissues

Spatial transcriptomics (ST) technologies have enabled new explorations into the spatial organization of tissues and their functional implications. However, one of the most fundamental analyses - comparative analysis of spatial gene expression across phenotypes - remains a formidable challenge. We introduce SpaceExpress, a novel statistical tool for detecting phenotype-associated changes in spatial expression patterns. SpaceExpress employs a neural network to embed multiple ST samples in a common latent space, enabling robust cross-sample comparisons despite structural and technical variations. It then uses spline regression to test differential spatial expression of genes between conditions, identifying specific regions of the tissue where expression patterns diverge and quantifying the magnitude of those differences, with rigorous false discovery control and handling of multiple replicates per condition. It includes visualization tools to help interpret spatial pattern differences. We demonstrate the tools effectiveness on synthetic and real ST datasets, revealing mechanistic insights into behavior- and development-related neurogenomic changes in honey bees and mice. Our work extends the highly influential paradigm of differential gene expression analysis to spatial omics.

bioinformatics↗

bioRxiv2024

Illuminating the Potential: Light Harvesting and Semiconducting Properties of Bacterial Microcompartment Shell Proteins

Biomaterials with self-assembly, genetic tunability, self-healing, and biocompatibility hold promise for next-generation electronics. This study explores disc-like shell proteins from bacterial microcompartments as photovoltaic materials. These self-assembling proteins exhibit semiconducting properties, including a low work function and non-linear I-V behavior. Notably, under UV light, they generate significant photocurrent without external voltage, demonstrating efficient electron transfer. Electron conduction occurs via tunneling, enabled by distinct electron-rich surface regions. High responsivity and quantum efficiency outperform prior protein-based systems, emphasizing their potential in photocurrent and light-harvesting applications. Genetic mutations revealed a proton-coupled electron transfer (PCET) mechanism, where tyrosine residues strategically positioned near proton abstraction sites enhance photocurrent generation. This study highlights the innovative capabilities of shell proteins for energy-efficient devices and demonstrates how genetic engineering can further optimize biomaterial performance, paving the way for sustainable electronic applications.

bioengineering↗

bioRxiv2024

IMMClock reveals immune aging and T cell function at single-cell resolution

The aging of the immune system substantially impacts individual immune responses, yet accurately quantifying immune age remains a complex challenge. Here we developed IMMClock, a novel immune aging clock that uses gene expression data to predict the biological age of individual CD8 T cells, CD4 T cells, and NK cells. The accuracy of IMMClock is first validated across multiple independent datasets, demonstrating its robustness. Second, utilizing the IMMClock, we find that intrinsic cellular aging processes are more strongly altered during immune aging than differentiation processes. Thirdly, our analysis confirms the strong associations between immune aging and established processes such as cellular senescence, exhaustion, and telomere length at the single cell level. Furthermore, immune aging is accelerated under several disease conditions such as type 2 diabetes, heart disease, and cancer. Finally, we apply IMMClock to analyze a perturb-seq gene activation screen of T cell functionality. We find that the post-perturbation immune age of individual T cells is strongly correlated with their pre-perturbation immune age. Furthermore, the immune age at resting state of individual T cells is strongly predictive of their post-stimulation activation state. Overall, IMMClock advances our understanding of immune aging by providing precise, single-cell level age estimations. Its future applications hold promise for identifying interventions that concomitantly rejuvenate and activate T cells, potentially enhancing efforts to counteract age-related immune decline.

bioinformatics↗

bioRxiv2024

ecPath detects ecDNA in tumors from histopathology images

Circular extrachromosomal DNA (ecDNA) can drive tumor initiation, progression and resistance in some of the most aggressive cancers and is emerging as a promising anti-cancer target. However, detection currently requires costly whole-genome sequencing (WGS) or labor-intensive cytogenetic or FISH imaging, limiting its application in routine clinical diagnosis. To overcome this, we developed ecPath (ecDNA from histopathology), a computational method for predicting ecDNA status from routinely available hematoxylin and eosin (H&E) images. ecPath implements a deep-learning method we call transcriptomics-guided learning, which utilizes both transcriptomics and H&E images during the training phase to enable successful ecDNA prediction from H&E images alone, a task not achievable with models trained on H&E images only. It is trained on more than 6,000 tumor whole-slide images from the TCGA cohort with the best performance in predicting ecDNA status in brain and stomach tumors (average AUC=0.78). ecPath revealed that ecDNA-positive tumors are enriched with pleomorphic, larger and high-density nuclei. Testing in an independent cohort, ecPath predicted ecDNA status of 985 pediatric brain tumor patients with an AUC of 0.72. Finally, we applied ecPath to identify ecDNA-positive tumors in the TCGA cohort for which no WGS data were available. Like WGS-based ecDNA-positive labels, the predicted ecDNA-positive status also identify poor prognoses for low grade glioma patients. These results demonstrate that ecPath enables the detection of ecDNA from routinely available H&E imaging alone and help nominate aggressive tumors with ecDNA to study and target it.

pathology↗

bioRxiv2024

Programmable 3D cell alignment of bioprinted tissue via soft robotic dynamic stimulation

Recent breakthroughs in biofabrication have enabled the development of engineered tissues for various organ systems, supporting applications in drug testing and regenerative medicine. However, current approaches do not allow for dynamic mechanical maturation of engineered tissue in 3D. Although uniaxial mechanostimulation techniques have shown promise in generating anisotropic tissues, they fail to recapitulate the biomechanics of complex tissues. As a result, existing biofabricated tissues lack the ability to replicate complex 3D alignment patterns essential for functional biomimicry. Here, we present a soft robotics-driven approach for programmable 3D alignment in 3D bioprinted tissue. Our method introduces the co-printing of biological tissue with a silicone-based soft robot via a custom core-double shell nozzle. The application of 3D, exogenous, dynamic expansion and torsional forces to the tissue via the co-printed silicone robot was found to drive cell alignment. Confocal imaging revealed pronounced anisotropy of the stimulated tissue samples compared to the unstimulated controls. In addition, different cellular orientation patterns resulted from each mode of stimulation, demonstrating the versatility of the soft robotic approach in tailoring the pattern of tissue alignment based on programmed mechanostimulation.

bioengineering↗

bioRxiv2024

Identification and characterization of UBA5 inhibitors

UBA5 is a critical E1-activating enzyme in the UFMylation pathway, a post-translational modification process implicated in neurodegenerative diseases and cancers. In this study, we developed a high-throughput screening (HTS) assay to identify inhibitors of UBA5 from a library of blood-brain barrier (BBB)-permeable compounds. The assay, based on the AMP-Glo kit, enabled the identification of five novel UBA5 inhibitors belonging to three distinct chemical scaffolds with low micromolar IC50 values. These inhibitors demonstrated selectivity for UBA5 over other E1 enzymes, such as UBA1, and showed efficacy in inhibiting endogenous UFMylation in HEK293T cells. The identified inhibitors not only provided valuable tools for studying UFMylation but also represent potential therapeutic candidates for diseases associated with dysregulated UFMylation, such as Alzheimers disease and cancer. Further optimization of these compounds is necessary to enhance their potency and pharmacokinetic properties. Our findings highlight UBA5 as a promising therapeutic target and pave the way for the development of selective inhibitors that can modulate UFMylation in human diseases.

biochemistry↗

bioRxiv2024

Neural mechanisms of the transition from planning to execution in speech production

Speaking is the primary way that humans communicate. This communication is enabled by a production system that can plan and execute unique combinations of speech sounds. Although a distributed network of brain regions has been implicated in speaking, it is unclear how planning and execution of speech are coordinated to produce meaningful sounds. Leveraging the high spatio-temporal resolution of intracranial recordings at different spatial scales, we show distinct neural mechanisms that facilitate speech planning and execution. During planning, different levels of speech units are coded discretely at distinct prefrontal sites. These planned units are then dynamically integrated at various cortical levels to guide subsequent execution. During speech execution, speech motor regions generate continuous sequences that reflect both discrete speech sound units and their transitional properties between units. This rapid neural transition from discrete speech units to motor sequences links speech planning with execution and enables our effortless ability to speak.

neuroscience↗

bioRxiv2024

A low-cost, open-source 3D printer for multimaterial and high-throughput direct ink writing of soft and living materials

Direct ink writing is a 3D printing method that is compatible with a wide range of structural, elastomeric, electronic, and living materials, and it continues to expand its uses into physics, engineering, and biology laboratories. However, the large footprint, closed hardware and software ecosystems, and expense of commercial systems often hamper widespread adoption. Here, we present a compact, simple-to-build, low-cost, multimaterial, and high-throughput direct ink writing 3D printer platform with detailed assembly files and instructions provided freely online. In contrast to existing low-cost 3D printers and bioprinters, which typically modify off-the-shelf plastic 3D printers, this system is built from scratch, offering a lower cost and full customizability. Despite its low cost, we demonstrate advanced active mixing and multimaterial multinozzle 3D (MM3D) printing methods, which previously have relied on expensive and custom motion control platforms. We finally introduce embedded multinozzle and 3D gradient nozzle designs that offer high throughput and graded 3D parts. This powerful, easy-to-build, and customizable printing platform can help stimulate a vibrant biomaker community of engineers, biologists, and educators.

bioengineering↗

bioRxiv2024

Sca-1 expression depicts pro-inflammatory murine neutrophils under steady state and pathological conditions

Neutrophils play a crucial role in various pathophysiological conditions, yet targeting them for therapeutic intervention has been discouraged due to the associated risk of infections. Thus, identification of neutrophil subsets and their involvement in inflammatory conditions is warranted for targeted therapeutic strategies. This study, through screening of surface proteins on neutrophils isolated from different tissue microenvironments, identified a distinct neutrophil subset, CD11b+Ly6G+Sca1+ neutrophils, expressing Stem cell antigen-1 (Sca-1). Interestingly, these Sca1pos neutrophils were more abundant in the liver than BM, blood, and lungs. Further analysis revealed that Sca1pos neutrophils are mature and activated with enhanced effector functions, including superoxide generation, phagocytosis, degranulation, and NETosis. Tracing studies demonstrated ageing-independent characteristics of Sca1pos neutrophils. Remarkably, Sca1pos pro-inflammatory neutrophils promote T cell proliferation through ROS, while inhibition of Sca-1 restores T cell proliferation and ROS generation. Intriguingly, inflammatory as well as metabolic cues induce the transition of conventional neutrophils (Sca1neg) to Sca1pos neutrophils and differentiation of progenitors (granulocyte monocyte progenitors, GMPs) into Sca1pos neutrophils. Furthermore, in vivo models of acute inflammation, peritonitis, and chronic inflammatory condition, non-alcoholic steatohepatitis (NASH), exhibit an increase of Sca1pos neutrophils at inflammatory sites, while the pharmacological approach using NAC specifically mitigates the expansion of these pro-inflammatory neutrophils. Collectively, our findings unveil a novel subset of Sca1pos neutrophils with implications for inflammation. Significance StatementNeutrophilic inflammation remains the leading driver in infectious and inflammatory diseases. Targeting neutrophil populations remained un-recommended due to hampering the immunological functions of neutrophils. The heterogeneity of neutrophils provides the perspective to target altered neutrophil subsets, but subtle changes defining neutrophil subsets make it complex and ambiguous. Our study identified abundant expression of Sca1on distinct neutrophils under steady state and inflammation. Thus, we reported previously undefined Sca1pos pro-inflammatory neutrophil subsets and elucidated their regulation. This study further established their involvement in acute and chronic inflammatory conditions. This understanding may further pave the way toward targeting specific neutrophil subsets in pathologies characterized by neutrophilic inflammation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=144 SRC="FIGDIR/small/613221v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@62f3eaorg.highwire.dtl.DTLVardef@7baed3org.highwire.dtl.DTLVardef@12da63org.highwire.dtl.DTLVardef@1bfcce9_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LICD11b+Ly6G+Sca1+ neutrophil subset identified with <1% presence in BM and >40% frequency in the liver. C_LIO_LIThese neutrophils are mature and activated, demonstrating enhanced effector functions. C_LIO_LISca1pos neutrophils promote T cell proliferation and display pro-inflammatory characteristics. C_LIO_LIConventional Sca1neg neutrophils transition into Sca1pos neutrophils in response to inflammatory signals, while progenitors undergo differentiation. C_LIO_LIBoth acute and chronic inflammatory models show the expansion of CD11b+Ly6G+Sca1+ neutrophils. C_LI

immunology↗

bioRxiv2024

Integrative multiomic approaches reveal ZMAT3 and p21 as conserved hubs in the p53 tumor suppression network

TP53, the most frequently mutated gene in human cancer, encodes a transcriptional activator that induces myriad downstream target genes. Despite the importance of p53 in tumor suppression, the specific p53 target genes important for tumor suppression remain unclear. Recent studies have identified the p53-inducible gene Zmat3 as a critical effector of tumor suppression, but many questions remain regarding its p53-dependence, activity across contexts, and mechanism of tumor suppression alone and in cooperation with other p53-inducible genes. To address these questions, we used Tuba-seqUltra somatic genome editing and tumor barcoding in a mouse lung adenocarcinoma model, combinatorial in vivo CRISPR/Cas9 screens, meta-analyses of gene expression and Cancer Dependency Map data, and integrative RNA-sequencing and shotgun proteomic analyses. We established Zmat3 as a core component of p53-mediated tumor suppression and identified Cdkn1a as the most potent cooperating p53-induced gene in tumor suppression. We discovered that ZMAT3/CDKN1A serve as near-universal effectors of p53-mediated tumor suppression that regulate cell division, migration, and extracellular matrix organization. Accordingly, combined Zmat3-Cdkn1a inactivation dramatically enhanced cell proliferation and migration compared to controls, akin to p53 inactivation. Together, our findings place ZMAT3 and CDKN1A as hubs of a p53-induced gene program that opposes tumorigenesis across various cellular and genetic contexts.

cancer biology↗

bioRxiv2024

A Tale of Two Environments: Divisive Normalization and the (In)Flexibility of Choice

The Divisive Normalization (DN) function has been described as a "canonical neural computation" in the brain that achieves efficient representations of sensory and choice stimuli. Recent theoretical work indicates that it efficiently encodes a specific class of Pareto-distributed stimuli. Does the brain shift to different encoding functions in other types of environments, or is there evidence for DN encoding in other types of environments? In this paper, using a within-subject choice experiment, we show evidence of the latter. Our subjects made decisions in two distinct choice environments with choice sets either drawn from a Pareto distribution or from a uniform distribution. Our results indicate that subjects choices are better described by a divisive coding strategy in both environments. Moreover, subjects appeared to calibrate a DN function to match, as closely as possible, the actual statistical properties of each environment. These results suggest that the nervous system may be constrained to use divisive representations under all conditions. Significance StatementHow does the frequency with which we encounter different kinds of decision problems affect how the brain represents those problems? Recent empirical findings suggest that we adapt our internal representations to match the environments in which we are making choices. Theoretical work has shown that one form of internal representation, called divisive normalization, provides an optimal adaptation when making choices in a specific class of environments. Using a stylized experimental design, subjects faced two distinct choice environments, each characterized by different statistical properties. Our findings show humans appear to use the same mechanism in both environments, suggesting that a divisive representation may be a fixed feature of human cognition.

neuroscience↗

bioRxiv2024

Sequences within and upstream of the mouse Ets1 gene drive high level expression in B cells, but are not sufficient for consistent expression in T cells

The levels of transcription factor Ets1 are high in resting B and T cells, but are downregulated by signaling through antigen receptors and Toll-like receptors (TLRs). Loss of Ets1 in mice leads to excessive immune cell activation and development of an autoimmune syndrome and reduced Ets1 expression has been observed in human PBMCs in the context of autoimmune diseases. In B cells, Ets1 serves to prevent premature activation and differentiation to antibody-secreting cells. Given these important roles for Ets1 in the immune response, stringent control of Ets1 gene expression levels is required for homeostasis. However, the genetic regulatory elements that control expression of the Ets1 gene remain relatively unknown. Here we identify a topologically-associating domain (TAD) in the chromatin of B cells that includes the mouse Ets1 gene locus and describe an interaction hub that extends over 100 kb upstream and into the gene body. Additionally, we compile epigenetic datasets to find several putative regulatory elements within the interaction hub by identifying regions of high DNA accessibility and enrichment of active enhancer histone marks. Using reporter constructs, we determine that DNA sequences within this interaction hub are sufficient to direct reporter gene expression in lymphoid tissues of transgenic mice. Further analysis indicates that the reporter construct drives faithful expression of the reporter gene in mouse B cells, but variegated expression in T cells, suggesting the existence of T cell regulatory elements outside this region. To investigate how the downregulation of Ets1 transcription is associated with alterations in the epigenetic landscape of stimulated B cells, we performed ATAC-seq in resting and BCR-stimulated primary B cells and identified four regions within and upstream of the Ets1 locus that undergo changes in chromatin accessibility that correlate to Ets1 gene expression. Interestingly, functional analysis of several putative Ets1 regulatory elements using luciferase constructs suggested a high level of functional redundancy. Taken together our studies reveal a complex network of regulatory elements and transcription factors that coordinate the B cell-specific expression of Ets1.

genetics↗

bioRxiv2024

Logical Network Perturbations Guide Precise Target Prioritization for Drug Development

Despite advances in artificial intelligence (AI), target-based drug development remains costly, complex, and imprecise. We introduce F.O.R.W.A.R.D [Framework for Outcome-based Research and Drug Development], a network-based target prioritization platform, and demonstrate its utility in the challenging landscape of Inflammatory Bowel Diseases (IBD), a chronic, multifactorial condition. F.O.R.W.A.R.D uses real-world clinical outcomes, and a machine-learning classifier trained on transcriptomic data from seven prospective randomized trials across four drugs. It defines remission at the molecular level and calculates, using network connectivity, the likelihood that targeting a given molecule will induce remission-associated gene expression. Benchmarking against 210 completed trials across 52 targets, F.O.R.W.A.R.D achieved 100% predictive accuracy--despite variability in drug mechanisms and trial designs. Single-cell RNA-seq and a prospective biobank of patient-derived organoids confirmed that the remission signature is epithelium-specific and tracks with poor outcomes. F.O.R.W.A.R.D enables in-silico phase zero trials to inform trial design, revive shelved drugs, and guide early termination decisions. Broadly applicable and iteratively refined by emerging trial data, F.O.R.W.A.R.D has the potential to reshape drug discovery--bringing foresight to hindsight, and empowering both R&D and human-in-the-loop clinical decision-making.

bioinformatics↗