High-throughput screening

Here, combining diagnostic imaging modalities and in vivo assays, Windfelder and colleagues established tobacco hornworm larvae Manduca sexta as an alternative high-throughput platform to study the innate immunity of the gut and host-pathogen interactions. Using the platform, the authors identify mediators of gut inflammation, differentiate pathogens from gut mutualist bacteria, and demonstrate pharmacological interventions.

It is currently difficult to perform accurate single-cell assays in 384-well plates. Here the authors report Dye Drop which uses sequential density displacement and microscopy for multi-step assays on cells, and use this to collect single-cell dose-response data for small molecules in breast cancer cells.

ER stress is associated with various neurodegenerative diseases. This study found that FDA approved drug, maprotiline, inhibits histamine receptor H1-mediated ER stress and provides significant neuroprotection in mouse glaucoma model.

Type I diabetes is characterized by autoantibodies directed against protein or non-protein self-antigens. Here the authors profile glycan reactive anti-carbohydrate antibodies (ACA) in a longitudinal and cross-sectional childhood diabetes cohort and associate clusters of ACA with disease progression.

Microsporidia are fungal-related intracellular parasites that infect animals and humans. Here, Murareanu et al. develop a high-throughput screening method using the nematode C. elegans as a host, and identify several compounds that inhibit microsporidia infection through different mechanisms.

Multiple alternative splicing events in CD19 mRNA have been associated with resistance/relapse to CD19 CAR-T therapy in patients with B cell malignancies. Here, by combining patient data and a high-throughput mutagenesis screen, the authors identify single point mutations and RNA-binding proteins that can control CD19 splicing and be associated with CD19 CAR-T therapy resistance.

There are currently a lack of tools to detect heterogeneity in 3D cultures. Here the authors report Traject3d as a framework to identify heterogeneous states in 3D culture and to understand how these give rise to distinct phenotypes using label-free multi-day time-lapse imaging.

The adenomatous polyposis coli (APC)–Asef protein interaction is essential for colorectal cancer metastasis. Here, the authors present the rational design of a sensitivity-enhanced tracer for fluorescence polarization assays, enabling them to discover more efficient APC–Asef interaction inhibitors.

Toxicity of CRISPR/Cas9 induced DNA breaks depends on their repair mechanism, and on the chromatin environment at the cut site. Here the authors show that edits in active genes or regulatory elements can incur a higher toxicity via a TP53-dependent mechanism.

Current screens to assess tumour drug resistance require a large amount of material, normally not available from patients. Here the authors report CombiSeq, a scalable microfluidic workflow to screen hundreds of drug combinations in picoliter-size droplets using transcriptome changes as a readout.

Whole-cell screening for Mycobacterium tuberculosis inhibitors is complicated by the pathogen’s slow growth and biocontainment requirements. Here the authors develop engineered E. coli as a synthetic biology tool to express and screen metabolic targets from Mycobacterium tuberculosis.

Macrocycles have potential as therapeutics, but their libraries are currently not large enough for high-throughput screening. Here, the authors show a combinatorial approach to generate a library of almost 20’000 macrocycles by conjugating carboxylic-acid fragments to macrocyclic scaffolds, identifying nanomolar inhibitors against thrombin and binders of MDM2.

RNA microarrays have many potential applications, but are difficult to produce. Here, the AUs present a method for converting commercial, customizable DNA microarrays into RNA microarrays using an accessible three-step process involving primer photocrosslinking, extension, and template degradation.

Unbiased screen of random sequences identified many short IRES-like elements to drive circular RNA translation and hundreds of rolling circle translation events, suggesting a pervasive cap-independent translation in human transcriptome.

There is an urgent need for novel strategies to combat life-threatening fungal infections. Here, Revie et al. identify a compound that induces alterations in fungal membranes, synergizes with azole antifungals against the pathogen Candida albicans, and inhibits virulence traits and biofilm formation in animal models of infection.

Fluorescent biosensors are important tools for studying cellular metabolism, but development and optimization are challenging. Koveal et al. present a high-throughput multiparameter screen for sensor performance, and used it to generate LiLac, a high-performance, quantitative lactate sensor.

Screening combinatorial mutants is too massive for wet-lab experiment alone. Here the authors present a machine learning-coupled combinatorial mutagenesis approach to vastly reduce experimental burden for engineering Cas9 genome editing enzymes.

The chromatin accessibility landscape and gene regulatory network of pancreatic cancer has not been fully characterised. Here, the authors perform multi-omics analysis of 84 pancreatic cancer organoid lines and reveal gene regulatory networks and distinct molecular subtypes.

Targeting integrin-mediated retention of malignant B cells in their protective microenvironment is an efficacious treatment for lymphoma and leukemia. Here, the authors present an unbiased loss-of-adhesion CRISPR screening method, identifying therapeutic targets for these B-cell malignancies.

Childhood acute lymphoblastic leukemia is characterised by a range of genetic aberrations. Here, the authors use multi-omics profiling of ALL cell lines to connect molecular phenotypes and drug responses to provide an interactive resource of drug sensitivity.

By coupling robotic cell culture systems with artificial intelligence–powered image analysis, Schiff et al. identify previously unseen characteristics of Parkinson’s disease in patient skin cells that distinguish them from healthy controls.

Hippo signalling is reported to be required for proper ESR1 expression. Here the authors reveal that the transcriptional repression of ESR1 is via LATS-YAP-TEAD-VGLL3 axis and the epigenetic regulation of ESR1 super enhancer in ER + breast cancer.

Here the authors show that the Koolen-de Vries syndrome associated gene KANSL1 modulates autophagosome-lysosome fusion via transcriptional regulation of autophagosomal gene Syntaxin17, and that 13-cis retinoic acid can reverses mitophagic defects and neurobehavioural abnormalities of mice lacking Kansl1.

Among lipid classes, ceramides are linked to impaired cardiometabolic health. Here the authors report the association of specific ceramides and dihydroceramides on the risk of developing type 2 diabetes and or cardiovascular disease in a prospective population cohort.

Here, the authors use a droplet-based screen for phosphate transfer catalysis, testing variants of the human protein kinase MKK1 for its ability to activate its downstream target ERK2. Data reveal a flexible motif in the MKK1 docking domain that promotes efficient activation of ERK2, and suggest epistasis between the residues within that sequence.

Many microbiome differential abundance methods are available, but it lacks systematic comparison among them. Here, the authors compare the performance of 14 differential abundance testing methods on 38 16S rRNA gene datasets with two sample groups, and show ALDEx2 and ANCOM-II produce the most consistent results.

Prioritizing drug repurposing candidates for downstream studies remains challenging. Here, the authors present a high-throughput approach to identify and validate drug repurposing candidates, integrating human gene expression, drug perturbation, and clinical data from publicly available resources.

Methods to quantitatively study liquid-liquid phase separation (LLPS) of proteins are lacking. Here the authors report Capillary flow experiments (Capflex) for the quantification of key LLPS parameters; they study Ddx4, the RP3 peptide and the aberrant liquid-to-solid phase transition of α-synuclein.

Glycosylation is an abundant form of post-translational modification. Here the authors present a generalizable workflow for the selection of indole-modified aptamers that can recognize protein glycoforms with high specificity.

Forward genetic approaches such as CRISPR screens are powerful ways to identify essential genes and those that influence host-pathogen interactions. Here the authors design a bioinformatics portal for sgRNA design and a recombination-mediated cassette system for delivery into mosquito cell lines.

The testing of engineered enzymes represents a bottleneck. Here the authors report a screening method combining microfluidics and mass spectrometry, to map the catalysis of a mutated enzyme, characterise the range of products generated and recover the sequences of variants with desired activities.

CRISPR-based knockout screens in cancer cells have suggested the existence of proliferation suppressor genes (PSG). Here, the authors develop an approach to systematically identify them, and reveal a PSG module involved in fatty acid synthesis and tumour suppression in acute myeloid leukemia cell lines.

Deep learning (DL) can be used to automatically extract complex features from dynamic systems. Here, the authors combine high-content imaging, DL and mechanistic models to extract and explain drug-induced morphological changes in the growth of the fungus responsible for Asian soybean rust.

The exact protein features that control passage through the eukaryotic secretory system remain largely unknown. Here the authors report SECRiFY which they use to evaluate the secretory potential of polypeptides on a proteome-wide scale in yeast, revealing a role for flexibility and intrinsic disorder.

Normalisr removes technical bias in single-cell RNA-seq and detects gene differential and coexpression accurately and efficiently. It also infers gene regulatory and co-expression networks from conventional and CRISPR screen single-cell RNA-seq datasets.

PKU patients have elevated phenylalanine levels which can result in neurological impairment. Here the authors utilize biosensor-based ultra-high-throughput screening to optimize PAL activity in a synthetic biotic platform for improved in vivo performance.

Cell-based transcriptional reporters are an invaluable part of highthroughput screening, but many such reporters have weak or transient responses. Here, the authors describe a digitizer circuit for amplifying reporter activity, increasing sensitivity, and retaining memory of pathway activation.

The mechanisms involved in programmed or damage-induced removal of mitochondria by mitophagy remain elusive. Here the authors use an siRNA library to screen lipid-binding proteins, and identify the kinases GAK and PRKCD as positive regulators of PRKN-independent mitophagy.

High-throughput molecular surveillance of mosquitoes carrying dangerous pathogens is currently challenging. Here the authors present Vectorchip, a low-cost microfluidic platform enabling multiplexed detection of mosquito DNA, viral RNA and infectious viral particles at single bite resolution.

Current methods to identify G-quadruplex structures in DNA require specialized protocols and multiple rounds of sequencing. Here, the authors develop a method to detect G-quadruplex structures in DNA based on fluctuations in sequencing quality in a standard sequencing experiment.

Phase Transition Curves (PTCs) describe phase shifts of circadian oscillations due to a stimulus and they are important for studying circadian clock resetting. Here, the authors present a method for high-throughput reconstruction of PTCs using fluorescent live imaging and single-cell analysis.

Current high-throughput single-cell transcriptomic methods are incompatible with paraformaldehyde, a common cell fixation technique. Here the authors present FD-seq, a method for droplet-based RNA sequencing of paraformaldehyde-fixed, stained and sorted single cells.

Anaplastic large cell lymphoma (ALCL) is an aggressive T-cell lymphoma often with poor prognosis. To identify genes defining ALCL cell state and dependencies, the authors here characterize ALCL-specific super-enhancers and describe the BATF3/IL-2R−module as a therapeutic opportunity for ALCL.

Mitochondrial dysfunction is a common hallmark of neurological disorders. Here, the authors identify CHIR99021 as a potent enhancer of mitochondrial function, which improved mitochondrial phenotypes in Huntington’s disease models. CHIR99021 was shown to stabilize calpastatin, which suppressed calpain activation and Drp1-induced mitochondrial fragmentation.

Existing Förster Resonance Energy Transfer (FRET) biosensors are often limited in their sensitivity. Here the authors report FRET-seq which they use to identify Fyn and ZAP70 kinase biosensors with enhanced performance, and use them to image T-cell activation and screen drugs.

Identification of gene targets is one of the major challenges to construct superior microbial cell factory for chemical synthesis. Here, the authors employ CRISPRi and omics analyses for genome-scale target genes identification for high-titer production of free fatty acids in E. coli.

RIT1 mutations are mutually exclusive with other lung cancer drivers and lack targeted therapies. Here the authors examine genetic dependencies of mutant RIT1 with genome-wide CRISPR screens, revealing synergy between RIT1 and YAP1, and increased sensitivity to Aurora kinase inhibitors.

The engineering of 5′ UTRs that modulate protein expression remains a great challenge. Here we leverage synthetic biology and computational design to develop a high-throughput strategy to design, screen, and optimize 5′ UTRs that enhance protein expression for non-viral gene therapies.

Identifying functional domains and genetic regulatory mechanisms is essential for developing new therapies. Here the authors present sc-Tiling, single-cell high-density CRISPR tiling screening for functional domain characterization.