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Biology subjects

Halpern, A.

Publications and source records attributed to Halpern, A..

6 recordsLinked to original sources

Whole-transcriptome-scale and isoform-resolved spatial imaging of single cells in complex tissues

Cell and tissue functions arise from complex interactions among numerous genes, and a systematic understanding of these functions requires isoform-resolved, whole-transcriptome-scale analysis of single cells with high spatial resolution. Here, we introduce a spatial transcriptomics method based on a novel in situ RNA amplification strategy, enabling short RNA sequence detection and hence spatially resolved expression profiling of individual cells at the whole-transcriptome scale with splice-isoform resolution. Using this approach, we imaged [~]33,000 distinct RNAs--including [~]23,000 genes and [~]10,000 isoform-defining transcripts--in the mouse brain. Our data enabled systematic analyses of region- and cell-type-specific gene programs and ligand-receptor-based cell-cell communications. These data further revealed a rich spatial diversity and cell-type specificity in isoform usage across numerous genes and identified brain structures particularly enriched for specific isoform usage. We anticipate broad application of this method for molecular and cellular analysis of tissues, unlocking previously inaccessible discoveries in cell and organismal biology.

genomics↗

Illumina Complete Long Read Assay yields contiguous bacterial genomes from human gut metagenomes

Metagenomics enables direct investigation of the gene content and potential functions of gut bacteria without isolation and culture. However, metagenome-assembled genomes are often incomplete and have low contiguity due to challenges in assembling repeated genomic elements. Long-read sequencing approaches have successfully yielded circular bacterial genomes directly from metagenomes, but these approaches are low throughput, have high DNA input requirements, and can have high error rates. Illumina has recently launched the Illumina Complete Long Read (ICLR) assay, a new approach for generating kilobase-scale reads with low DNA input requirements and high accuracy. Here, we evaluate the performance of ICLR sequencing for gut metagenomics. We sequenced a microbial mock community and ten human gut microbiome samples with standard, shotgun 2x150 paired-end sequencing, ICLR sequencing, and nanopore long-read sequencing and compared performance in read lengths, assembly contiguity, and bin quality. We find that ICLR human metagenomic assemblies have higher N50 (119.5 {+/-} 24.8 kilobases) than short read assemblies (9.9 {+/-} 4.5 kilobases; p = 0.002), and comparable N50 to nanopore assemblies (91.0 {+/-} 43.8 kilobases; p = 0.32). Additionally, we find that ICLR draft microbial genomes are more complete (94.0% {+/-} 20.6%) than nanopore draft genomes (85.9% {+/-} 23.0%; p[≤] 0.001), and that nanopore draft genomes have truncated gene lengths (924.6 {+/-} 114.7 base pairs) relative to ICLR genomes (954.6 {+/-} 71.5 base pairs; p[≤] 0.001). Overall, we find that ICLR sequencing is a promising method for high-throughput and accurate assembly of microbial genomes from gut metagenomes. ImportanceMetagenomic sequencing allows scientists to directly measure the genome content and structure of microbes residing in complex microbial communities. Traditional short-read metagenomic sequencing methods often yield fragmented genomes, whereas advanced long-read sequencing methods improve genome assembly quality but often suffer from high error rates and are logistically limited due to low throughput and high input requirements. A new method, the Illumina Complete Long Read Assay (ICLR), is capable of generating highly-accurate kilobase-scale sequencing reads with minimal input material. To evaluate the utility of ICLR in metagenomic contexts, we applied short-read, long-read, and ICLR methods to simple and complex microbial communities. We found that ICLR outperforms short-read methods, and yields comparable metagenomic assemblies to standard long-read approaches while requiring less input material. Overall, ICLR represents a high-throughput and efficient solution for assembling complete genomes from complex metagenomes.

genomics↗

A molecularly defined and spatially resolved cell atlas of the whole mouse brain

In mammalian brains, tens of millions to billions of cells form complex interaction networks to enable a wide range of functions. The enormous diversity and intricate organization of cells in the brain have so far hindered our understanding of the molecular and cellular basis of its functions. Recent advances in spatially resolved single-cell transcriptomics have allowed systematic mapping of the spatial organization of molecularly defined cell types in complex tissues1-3. However, these approaches have only been applied to a few brain regions1-11 and a comprehensive cell atlas of the whole brain is still missing. Here, we imaged a panel of >1,100 genes in [~]8 million cells across the entire adult mouse brain using multiplexed error-robust fluorescence in situ hybridization (MERFISH)12 and performed spatially resolved, single-cell expression profiling at the whole-transcriptome scale by integrating MERFISH and single-cell RNA-sequencing (scRNA-seq) data. Using this approach, we generated a comprehensive cell atlas of >5,000 transcriptionally distinct cell clusters, belonging to [~]300 major cell types, in the whole mouse brain with high molecular and spatial resolution. Registration of the MERFISH images to the common coordinate framework (CCF) of the mouse brain further allowed systematic quantifications of the cell composition and organization in individual brain regions defined in the CCF. We further identified spatial modules characterized by distinct cell-type compositions and spatial gradients featuring gradual changes in the gene-expression profiles of cells. Finally, this high-resolution spatial map of cells, with a transcriptome-wide expression profile associated with each cell, allowed us to infer cell-type-specific interactions between several hundred pairs of molecularly defined cell types and predict potential molecular (ligand-receptor) basis and functional implications of these cell-cell interactions. These results provide rich insights into the molecular and cellular architecture of the brain and a valuable resource for future functional investigations of neural circuits and their dysfunction in diseases.

neuroscience↗

Phenotyping the tumor-immune microenvironment (TiME) in vivo by cellular-level optical imaging reveals unique combination phenotypes with variable inflammation and endothelial anergy

Immunotherapies have shown unprecedented clinical benefits in several malignancies1-3. However, clinical responses remain variable and unpredictable, indicating the need to develop predictive platforms that can improve patient stratification4. Phenotyping of tumors into hot, altered, or cold5 based on assessment of only T-cell infiltration in static tumor biopsies provides suboptimal prediction of immunotherapy response6,7. In vivo dynamic mechanisms within the tumor microenvironment such as tumor angiogenesis and leukocyte trafficking5,8,9 also play a central role in modulating anti-tumor immunity and therefore immunotherapy response. Here, we report novel tumor immune microenvironment (TiME) phenotyping in vivo in patients with non-invasive spatially-resolved cellular-level imaging based on endogenous contrast. Investigating skin cancers as a model, with reflectance confocal microscopy (RCM) imaging10, we determined four major phenotypes with variable prevalence of vasculature (Vasc) and inflammation (Inf) features: VaschiInfhi, VaschiInflo, VascloInfhi and Vascmed/hiInflo. The VaschiInfhi phenotype correlates with high immune activation, exhaustion, and vascular signatures while VaschiInflo with endothelial anergy and immune exclusion. Automated quantification of TiME features demonstrates moderate-high accuracy and correlation with corresponding gene expression. Prospectively analyzed response to topical immunotherapy show highest response in VascloInfhi, and reveals the added value of vascular features in predicting treatment response. Our novel in vivo cellular-level imaging and phenotyping approach can potentially advance our fundamental understanding of TiME, develop robust predictors for immunotherapy outcomes and identify novel targetable pathways in future.

cancer biology↗

AP-1B facilitates endocytosis during cell migration

The epithelial cell-specific clathrin adaptor AP-1B has a well-established role in polarized sorting of cargos to the basolateral membrane. Here we demonstrate a novel function for AP-1B during collective cell migration of epithelial sheets. We show that AP-1B colocalized with {beta}1 integrin in focal adhesions during cell migration using confocal microscopy and total internal reflection fluorescence (TIRF) microscopy on fixed specimens. Further, AP-1B labeling in cell protrusion was distinct from labeling for the canonical endocytic adaptor complex AP-2. Using stochastic optical reconstruction microscopy (STORM) and live TIRF imaging we identified numerous AP-1B-coated structures at or close to the plasma membrane in cell protrusions. Importantly, immuno-electron microscopy (EM) showed AP-1B in clathrin-coated pits and budding vesicles at the plasma membrane during cell migration. Our data therefore established a novel function for AP-1B in endocytosis. We further show that {beta}1 integrin was dependent on AP-1B and its co-adaptor, autosomal recessive hypercholesterolemia protein (ARH), for sorting to the basolateral membrane. Notably, we found that expression of AP-1B (and ARH) slowed epithelial-cell migration, and qRT-PCR analysis of human epithelial-derived cell lines revealed a loss of AP-1B expression in highly metastatic cancer cells indicating that AP-1B-facilitated endocytosis during cell migration might be an anti-cancer mechanism.

cell biology↗

When tension is exciting: an electroencephalogram exploration of excitement in music

Music powerfully affects peoples emotions. In particular, moments of tension and deviation in musical features, including frequency, pitch, and rhythm (known as a Drop), are associated with positive emotions. However, the neuro-correlates of Drops emotive effects have never been explored. Thirty-six participants listened to music pieces containing a Drop, while undergoing continuous EEG, and rated felt excitement. Source reconstruction of EEG data showed significantly different activity in five brain regions before and after Drops: pre- and post-central gyri (PreCG and PostCG), and precuneus (PCUN) were more active before Drops and the inferior frontal gyrus (IFG), and middle frontal gyrus (MFG) were more active after Drops. Importantly, activity in the IFG and MFG showed a strong correlation with subjective excitement ratings during Drop apprehension. These results suggest expectancy is important to the induction of musical emotions, in agreement with the ITPRA theory. Specifically, when Drops are expected but do not occur immediately, moderate tension is induced. Strong positive emotions then ensue when expected deviations finally occur, due to contrastive valence. This is reflected in significant brain activity for regions associated with high arousing, pleasurable emotions, such as excitement.

neuroscience↗