A two-step chemoenzymatic method for N-glycan subtype-selective editing.

Proteins that control the optical properties of cephalopod skin cells can modulate the transparency of mammalian cells.

Sequencing gradually digested chromatin along the nuclear radius enables the mapping of radial organization of chromatin in human cells.

Producing reliable atomic- or close-to-atomic-resolution structures of RNA-only molecules has been a formidable task. Ribosolve can solve sub-nanometer-resolution cryo-EM structures of unbound RNA molecules with unprecedented accuracy and speed.

A fast algorithm detects unexpected contamination events in public databases.

The discovery and design of biologically important RNA molecules is outpacing three-dimensional structural characterization. Here, we demonstrate that cryo-electron microscopy can routinely resolve maps of RNA-only systems and that these maps enable subnanometer-resolution coordinate estimation when complemented with multidimensional chemical mapping and Rosetta DRRAFTER computational modeling. This

In situ labeling with azido sugars enables in vivo immunomodulation of dendritic cells.

Systemic racism has held back under-represented minorities, especially Black people, in scientific research. We’re committed in our roles as journal editors to help correct this inequality.

‘Omics pipeline builders and users face options and tough decisions.

DNA-PAINT’s imaging speed has recently been significantly enhanced by optimized sequence design and buffer conditions. However, this implementation has not reached an ultimate speed limit and is only applicable to imaging of single targets. To further improve acquisition speed, we introduce concatenated, periodic DNA sequence motifs, yielding up to 100-fold-faster sampling in comparison to traditional

Understanding metabolism is indispensable in unraveling the mechanistic basis of many physiological and pathological processes. However, in situ metabolic imaging tools are still lacking. Here we introduce a framework for mid-infrared (MIR) metabolic imaging by coupling the emerging high-information-throughput MIR microscopy with specifically designed IR-active vibrational probes. We present three

Optogenetics is the genetic approach for controlling cellular processes with light. It provides spatiotemporal, quantitative and reversible control over biological signaling and metabolic processes, overcoming limitations of chemically inducible systems. However, optogenetics lags in plant research because ambient light required for growth leads to undesired system activation. We solved this issue

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

We have developed CRISPR-assisted RNA–protein interaction detection method (CARPID), which leverages CRISPR–CasRx-based RNA targeting and proximity labeling to identify binding proteins of specific long non-coding RNAs (lncRNAs) in the native cellular context. We applied CARPID to the nuclear lncRNA XIST, and it captured a list of known interacting proteins and multiple previously uncharacterized binding

Super-resolution microscopies have become an established tool in biological research. However, imaging throughput remains a main bottleneck in acquiring large datasets required for quantitative biology. Here we describe multifocal flat illumination for field-independent imaging (mfFIFI). By integrating mfFIFI into an instant structured illumination microscope (iSIM), we extend the field of view (FOV)

A yellow fluorescent sensor to study the brain, and the joy and pain of climbing.

We present split-FISH, a multiplexed fluorescence in situ hybridization method that leverages a split-probe design to achieve enhanced specificity. Split-FISH reduces off-target background fluorescence, decreases false positives and enables accurate RNA profiling in uncleared tissues. We demonstrate the efficacy of split-FISH on various mouse tissues by quantifying the distribution and abundance of

An outstanding challenge in single-molecule localization microscopy is the accurate and precise localization of individual point emitters in three dimensions in densely labeled samples. One established approach for three-dimensional single-molecule localization is point-spread-function (PSF) engineering, in which the PSF is engineered to vary distinctively with emitter depth using additional optical

Experimental approaches have been applied to address questions in understanding three-dimensional chromatin organization and function. As datasets increase in size and complexity, it becomes a challenge to reach a mechanistic interpretation of experimental results. Polymer simulations and mechanistic modeling have been applied to explain experimental observations and their links to different aspects

CRISPR–Cas9 screens have emerged as a transformative approach to systematically probe gene functions. The quality and success of these screens depends on the frequencies of loss-of-function alleles, particularly in negative-selection screens widely applied for probing essential genes. Using optimized screening workflows, we performed essentialome screens in cancer cell lines and embryonic stem cells

Embryonic development is typically hidden from view, but a window preparation technique now sheds light on this phase in the life of a mouse.

CAR+ macrophages modulate the tumor milieu and lead to antitumor immune responses.

De novo–designed protein logic gates allow post-translational regulation of protein function.

Improvements to the Genome Taxonomy Database provide a complete bacterial and archaeal taxonomy.

Structure-guided engineering allows researchers access to an expanding number of Cas9 variants that relax the constraint imposed by target site recognition of a protospacer-adjacent motif (PAM).

We conducted an informal survey to learn how scientists are using Twitter. We share some of the responses and discuss why being active on Twitter offers real benefits.

Realistic models of epidemics account for latency, loss of immunity, births and deaths.

The Rosetta software for macromolecular modeling, docking and design is extensively used in laboratories worldwide. During two decades of development by a community of laboratories at more than 60 institutions, Rosetta has been continuously refactored and extended. Its advantages are its performance and interoperability between broad modeling capabilities. Here we review tools developed in the last

The transcriptome contains rich information on molecular, cellular and organismal phenotypes. However, experimental and statistical limitations constrain sensitivity and throughput of genetic screening with single-cell transcriptomics readout. To overcome these limitations, we introduce targeted Perturb-seq (TAP-seq), a sensitive, inexpensive and platform-independent method focusing single-cell RNA-seq

Two-photon microscopy is widely used to investigate brain function across multiple spatial scales. However, measurements of neural activity are compromised by brain movement in behaving animals. Brain motion-induced artifacts are typically corrected using post hoc processing of two-dimensional images, but this approach is slow and does not correct for axial movements. Moreover, the deleterious effects

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Time-resolved crystallography with X-ray free-electron lasers enables structural characterization of light-induced reactions on ultrafast timescales. To be biologically and chemically relevant, such studies must be carried out in an appropriate photoexcitation regime to avoid multiphoton artifacts, a common issue in recent studies. We describe numerical and experimental approaches to determine how

Femtosecond lasers at fixed wavelengths above 1,000 nm are powerful, stable and inexpensive, making them promising sources for two-photon microscopy. Biosensors optimized for these wavelengths are needed for both next-generation microscopes and affordable turn-key systems. Here we report jYCaMP1, a yellow variant of the calcium indicator jGCaMP7 that outperforms its parent in mice and flies at excitation

Although label-free cell sorting is desirable for providing pristine cells for further analysis or use, current approaches lack molecular specificity and speed. Here, we combine real-time fluorescence and deformability cytometry with sorting based on standing surface acoustic waves and transfer molecular specificity to image-based sorting using an efficient deep neural network. In addition to general

Phase separation creates complex condensates in eukaryotic cells. To study these mysterious droplets, many disciplines come together.

A better base editor with fewer off-target changes, from a die-hard Manchester United fan.

Cytosine base editors (CBEs) offer a powerful tool for correcting point mutations, yet their DNA and RNA off-target activities have caused concerns in biomedical applications. We describe screens of 23 rationally engineered CBE variants, which reveal mutation residues in the predicted DNA-binding site can dramatically decrease the Cas9-independent off-target effects. Furthermore, we obtained a CBE

We developed entangled link-augmented stretchable tissue-hydrogel (ELAST), a technology that transforms tissues into elastic hydrogels to enhance macromolecular accessibility and mechanical stability simultaneously. ELASTicized tissues are highly stretchable and compressible, which enables reversible shape transformation and faster delivery of probes into intact tissue specimens via mechanical thinning

We present the Single-Cell Clustering Assessment Framework, a method for the automated identification of putative cell types from single-cell RNA sequencing (scRNA-seq) data. By iteratively applying a machine learning approach to a given set of cells, we simultaneously identify distinct cell groups and a weighted list of feature genes for each group. The differentially expressed feature genes discriminate

Genetic screens using pooled CRISPR-based approaches are scalable and inexpensive, but restricted to standard readouts, including survival, proliferation and sortable markers. However, many biologically relevant cell states involve cellular and subcellular changes that are only accessible by microscopic visualization, and are currently impossible to screen with pooled methods. Here we combine pooled

H-MAGMA leverages chromatin interaction data to interpret GWAS results for brain disorders.

A CRISPR–Cas9-based approach generates libraries of mutant proteins targeted to specific subcellular compartments for in situ directed evolution.

The assembly of polymers can be genetically targeted to specific neurons or other cells to manipulate their properties.

A new platform allows researchers to study the tumor microenvironment in fully immunocompetent chimeric mice.

More basic research studies of marine microorganisms — supported by new methods, tools and resources — are needed to help inform policies to mitigate the impact of climate change.

Researchers construct a transcriptome-based single-cell human cell landscape for major human organs.

Methods to deconvolve single-cell RNA-sequencing (scRNA-seq) data are necessary for samples containing a mixture of genotypes, whether they are natural or experimentally combined. Multiplexing across donors is a popular experimental design that can avoid batch effects, reduce costs and improve doublet detection. By using variants detected in scRNA-seq reads, it is possible to assign cells to their

We designed a head-mounted three-photon microscope for imaging deep cortical layer neuronal activity in a freely moving rat. Delivery of high-energy excitation pulses at 1,320 nm required both a hollow-core fiber whose transmission properties did not change with fiber movement and dispersion compensation. These developments enabled imaging at >1.1 mm below the cortical surface and stable imaging of

Single-molecule localization microscopy is a powerful tool for visualizing subcellular structures, interactions and protein functions in biological research. However, inhomogeneous refractive indices inside cells and tissues distort the fluorescent signal emitted from single-molecule probes, which rapidly degrades resolution with increasing depth. We propose a method that enables the construction of

Ligands bound to protein assemblies provide critical information for function, yet are often difficult to capture and define. Here we develop a top-down method, 'nativeomics', unifying 'omics' (lipidomics, proteomics, metabolomics) analysis with native mass spectrometry to identify ligands bound to membrane protein assemblies. By maintaining the link between proteins and ligands, we define the lipidome/metabolome