Controlling CAR-T cell activity and specificity with synthetic SparX adapters.

While conventional chimeric antigen-receptor (CAR)-T therapies have shown remarkable clinical activity in some settings, they can induce severe toxicities and are rarely curative. To address these challenges, we developed a controllable cell therapy where synthetic D-domain-containing proteins (soluble protein antigen-receptor X-linker [SparX]) bind one or more tumor antigens and mark those cells for elimination by genetically modified T cells (antigen-receptor complex [ARC]-T). The chimeric antigen receptor was engineered with a D-domain that specifically binds to the SparX protein via a unique TAG, derived from human alpha-fetoprotein. The interaction is mediated through an epitope on the TAG that is occluded in the native alpha-fetoprotein molecule. In vitro and in vivo data demonstrate that the activation and cytolytic activity of ARC-T cells is dependent on the dose of SparX protein and only occurs when ARC-T cells are engaged with SparX proteins bound to antigen-positive cells. ARC-T cell specificity was also redirected in vivo by changing SparX proteins that recognized different tumor antigens to combat inherent or acquired tumor heterogeneity. The ARC-SparX platform is designed to expand patient and physician access to cell therapy by controlling potential toxicities through SparX dosing regimens and enhancing tumor elimination through sequential or simultaneous administration of SparX proteins engineered to bind different tumor antigens.

Elevation of neural injury markers in patients with neurologic sequelae after hospitalization for SARS-CoV-2 infection.

Patients with SARS-CoV-2 infection (COVID-19) risk developing long-term neurologic symptoms after infection. Here, we identify biomarkers associated with neurologic sequelae one year after hospitalization for SARS-CoV-2 infection. SARS-CoV-2-positive patients were followed using post-SARS-CoV-2 online questionnaires and virtual visits. Hospitalized adults from the pre-SARS-CoV-2 era served as historical controls. 40% of hospitalized patients develop neurological sequelae in the year after recovery from acute COVID-19 infection. Age, disease severity, and COVID-19 infection itself was associated with additional risk for neurological sequelae in our cohorts. Glial fibrillary astrocytic protein (GFAP) and neurofilament light chain (NF-L) were significantly elevated in SARS-CoV-2 infection. After adjusting for age, sex, and disease severity, GFAP and NF-L remained significantly associated with longer term neurological symptoms in patients with SARS-CoV-2 infection. GFAP and NF-L warrant exploration as biomarkers for long-term neurologic complications after SARS-CoV-2 infection.

Large-scale mapping of positional changes of hypoxia-responsive genes upon activation.

Chromosome structure and nuclear organization are important factors in the regulation of gene expression. Transcription of a gene is influenced by local and global chromosome features such as chromatin condensation status. The relationship between the 3D position of a gene in the nucleus and its activity is less clear. Here we used high-throughput imaging to perform a large-scale analysis of the spatial location of nearly 100 hypoxia-responsive genes to determine whether their location and activity state are correlated. Radial distance analysis demonstrated that the majority of Hypoxia-Inducible Factor (HIF)- and CREB-dependent hypoxia-responsive genes are located in the intermediate region of the nucleus, and some of them changed their radial position in hypoxia. Analysis of the relative distances among a subset of HIF target genes revealed that some gene pairs altered their relative location to each other on hypoxic treatment, suggesting higher-order chromatin rearrangements. While these changes in location occurred in response to hypoxic activation of the target genes, they did not correlate with the extent of their activation. These results suggest that induction of the hypoxia-responsive gene expression program is accompanied by spatial alterations of the genome, but that radial and relative gene positions are not directly related to gene activity.

A Deep Learning Pipeline for Nucleus Segmentation.

Deep learning is rapidly becoming the technique of choice for automated segmentation of nuclei in biological image analysis workflows. In order to evaluate the feasibility of training nuclear segmentation models on small, custom annotated image datasets that have been augmented, we have designed a computational pipeline to systematically compare different nuclear segmentation model architectures and model training strategies. Using this approach, we demonstrate that transfer learning and tuning of training parameters, such as the composition, size, and preprocessing of the training image dataset, can lead to robust nuclear segmentation models, which match, and often exceed, the performance of existing, off-the-shelf deep learning models pretrained on large image datasets. We envision a practical scenario where deep learning nuclear segmentation models trained in this way can be shared across a laboratory, facility, or institution, and continuously improved by training them on progressively larger and varied image datasets. Our work provides computational tools and a practical framework for deep learning-based biological image segmentation using small annotated image datasets. Published [2020]. This article is a U.S. Government work and is in the public domain in the USA.

Blank spots on the map: some current questions on nuclear organization and genome architecture.

The past decades have provided remarkable insights into how the eukaryotic cell nucleus and the genome within it are organized. The combined use of imaging, biochemistry and molecular biology approaches has revealed several basic principles of nuclear architecture and function, including the existence of chromatin domains of various sizes, the presence of a large number of non-membranous intranuclear bodies, non-random positioning of genes and chromosomes in 3D space, and a prominent role of the nuclear lamina in organizing genomes. Despite this tremendous progress in elucidating the biological properties of the cell nucleus, many questions remain. Here, we highlight some of the key open areas of investigation in the field of nuclear organization and genome architecture with a particular focus on the mechanisms and principles of higher-order genome organization, the emerging role of liquid phase separation in cellular organization, and the functional role of the nuclear lamina in physiological processes.

Effects of human sex chromosome dosage on spatial chromosome organization.

Sex chromosome aneuploidies (SCAs) are common genetic syndromes characterized by the presence of an aberrant number of X and Y chromosomes due to meiotic defects. These conditions impact the structure and function of diverse tissues, but the proximal effects of SCAs on genome organization are unknown. Here, to determine the consequences of SCAs on global genome organization, we have analyzed multiple architectural features of chromosome organization in a comprehensive set of primary cells from SCA patients with various ratios of X and Y chromosomes by use of imaging-based high-throughput chromosome territory mapping (HiCTMap). We find that X chromosome supernumeracy does not affect the size, volume, or nuclear position of the Y chromosome or an autosomal chromosome. In contrast, the active X chromosome undergoes architectural changes as a function of increasing X copy number as measured by a decrease in size and an increase in circularity, which is indicative of chromatin compaction. In Y chromosome supernumeracy, Y chromosome size is reduced suggesting higher chromatin condensation. The radial positioning of chromosomes is unaffected in SCA karyotypes. Taken together, these observations document changes in genome architecture in response to alterations in sex chromosome numbers and point to trans-effects of dosage compensation on chromosome organization.

HiCTMap: Detection and analysis of chromosome territory structure and position by high-throughput imaging.

The spatial organization of chromosomes in the nuclear space is an extensively studied field that relies on measurements of structural features and 3D positions of chromosomes with high precision and robustness. However, no tools are currently available to image and analyze chromosome territories in a high-throughput format. Here, we have developed High-throughput Chromosome Territory Mapping (HiCTMap), a method for the robust and rapid analysis of 2D and 3D chromosome territory positioning in mammalian cells. HiCTMap is a high-throughput imaging-based chromosome detection method which enables routine analysis of chromosome structure and nuclear position. Using an optimized FISH staining protocol in a 384-well plate format in conjunction with a bespoke automated image analysis workflow, HiCTMap faithfully detects chromosome territories and their position in 2D and 3D in a large population of cells per experimental condition. We apply this novel technique to visualize chromosomes 18, X, and Y in male and female primary human skin fibroblasts, and show accurate detection of the correct number of chromosomes in the respective genotypes. Given the ability to visualize and quantitatively analyze large numbers of nuclei, we use HiCTMap to measure chromosome territory area and volume with high precision and determine the radial position of chromosome territories using either centroid or equidistant-shell analysis. The HiCTMap protocol is also compatible with RNA FISH as demonstrated by simultaneous labeling of X chromosomes and Xist RNA in female cells. We suggest HiCTMap will be a useful tool for routine precision mapping of chromosome territories in a wide range of cell types and tissues.

Causes and consequences of nuclear gene positioning.

The eukaryotic genome is organized in a manner that allows folding of the genetic material in the confined space of the cell nucleus, while at the same time enabling its physiological function. A major principle of spatial genome organization is the non-random position of genomic loci relative to other loci and to nuclear bodies. The mechanisms that determine the spatial position of a locus, and how position affects function, are just beginning to be characterized. Initial results suggest that there are multiple, gene-specific mechanisms and the involvement of a wide range of cellular machineries. In this Commentary, we review recent findings from candidate approaches and unbiased screening methods that provide initial insight into the cellular mechanisms of positioning and their functional consequences. We highlight several specific mechanisms, including tethering of genome regions to the nuclear periphery, passage through S-phase and histone modifications, that contribute to gene positioning in yeast, plants and mammals.

Comparative analysis of 2D and 3D distance measurements to study spatial genome organization.

The spatial organization of genomes is non-random, cell-type specific, and has been linked to cellular function. The investigation of spatial organization has traditionally relied extensively on fluorescence microscopy. The validity of the imaging methods used to probe spatial genome organization often depends on the accuracy and precision of distance measurements. Imaging-based measurements may either use 2 dimensional datasets or 3D datasets which include the z-axis information in image stacks. Here we compare the suitability of 2D vs 3D distance measurements in the analysis of various features of spatial genome organization. We find in general good agreement between 2D and 3D analysis with higher convergence of measurements as the interrogated distance increases, especially in flat cells. Overall, 3D distance measurements are more accurate than 2D distances, but are also more susceptible to noise. In particular, z-stacks are prone to error due to imaging properties such as limited resolution along the z-axis and optical aberrations, and we also find significant deviations from unimodal distance distributions caused by low sampling frequency in z. These deviations are ameliorated by significantly higher sampling frequency in the z-direction. We conclude that 2D distances are preferred for comparative analyses between cells, but 3D distances are preferred when comparing to theoretical models in large samples of cells. In general and for practical purposes, 2D distance measurements are preferable for many applications of analysis of spatial genome organization.

Painting a Clearer Picture of Chromatin.

Elucidating chromatin's 3D shape is critical to understanding its function, but the fine structure of chromatin domains remains poorly resolved. In a recent report in Nature, Boettiger et al. (2016) visualize chromatin in super-resolution, gaining unprecedented insight into chromatin architecture.

3D Chromosome Regulatory Landscape of Human Pluripotent Cells.

In this study, we describe the 3D chromosome regulatory landscape of human naive and primed embryonic stem cells. To devise this map, we identified transcriptional enhancers and insulators in these cells and placed them within the context of cohesin-associated CTCF-CTCF loops using cohesin ChIA-PET data. The CTCF-CTCF loops we identified form a chromosomal framework of insulated neighborhoods, which in turn form topologically associating domains (TADs) that are largely preserved during the transition between the naive and primed states. Regulatory changes in enhancer-promoter interactions occur within insulated neighborhoods during cell state transition. The CTCF anchor regions we identified are conserved across species, influence gene expression, and are a frequent site of mutations in cancer cells, underscoring their functional importance in cellular regulation. These 3D regulatory maps of human pluripotent cells therefore provide a foundation for future interrogation of the relationships between chromosome structure and gene control in development and disease.

HIPMap: A High-Throughput Imaging Method for Mapping Spatial Gene Positions.

The three-dimensional organization of genes inside the cell nucleus affects their functions including DNA transcription, replication, and repair. A major goal in the field of nuclear architecture is to determine what cellular factors establish and maintain the position of individual genes. Here, we describe HIPMap, a high-throughput imaging and analysis pipeline for the mapping of endogenous gene loci within the 3D space of the nucleus. HIPMap can be used for a variety of applications including screening, mapping translocations, validating chromosome conformation capture data, probing DNA-protein interactions, and interrogation of the relationship of gene expression with localization.

Identification of Gene Positioning Factors Using High-Throughput Imaging Mapping.

Genomes are arranged non-randomly in the 3D space of the cell nucleus. Here, we have developed HIPMap, a high-precision, high-throughput, automated fluorescent in situ hybridization imaging pipeline, for mapping of the spatial location of genome regions at large scale. High-throughput imaging position mapping (HIPMap) enabled an unbiased siRNA screen for factors involved in genome organization in human cells. We identify 50 cellular factors required for proper positioning of a set of functionally diverse genomic loci. Positioning factors include chromatin remodelers, histone modifiers, and nuclear envelope and pore proteins. Components of the replication and post-replication chromatin re-assembly machinery are prominently represented among positioning factors, and timely progression of cells through replication, but not mitosis, is required for correct gene positioning. Our results establish a method for the large-scale mapping of genome locations and have led to the identification of a compendium of cellular factors involved in spatial genome organization.

[Does mitral valve annuloplasty improve long-term survival in patients having moderate ischemic mitral regurgitation undergoing CABG?].

BACKGROUND: The best surgical approach for patients with moderate ischemic mitral regurgitation (IMR) is still undetermined. We examined long term outcomes in patients with moderate IMR undergoing coronary bypass (CABG), and compared outcomes between those undergoing isolated CABG to those undergoing concomitant restrictive annuloplasty. METHODS: Between the years 1993-2011, 231 patients with moderate IMR underwent CABG: group 1 (n = 186) underwent isolated CABG, group 2 (n = 15) underwent CABG with concomitant mitral valve annuloplasty. Univariate analysis was used to compare baseline parameters. Kaplan-Meier estimates were used to compare survival. Cox multivariate regression was used to determine predictors for late survival. Survival data up to 20 years is 97% complete. RESULTS: The groups were similar with respect to age, prior MI, LV function, and incidence of atrial fibrillation. Patients undergoing mitral repair had a higher incidence of congestive heart failure (CHF) (p < 0.0001). After surgery more repair patients required use of inotropes (p = 0.0005). Overall operative mortality was 7% and similar between groups. Ten year survival was 55% and 52% for groups 1 and 2 respectively (p = 0.2). Predictors of late mortality included age, CHF, LV dimensions and LV dysfunction. Neither the addition of a mitral procedure and type of ring implanted nor residual MR after surgery, emerged as predictors of survival. CONCLUSIONS: In patients with moderate ischemic MR, neither operative mortality nor long term survival are affected by the performance of a restrictive annuloplasty. For patients with CHF, mitral repair may be beneficial in terms of survival.

Quantitative measurement of translesion DNA synthesis in mammalian cells.

Translesion DNA synthesis (TLS) is a DNA damage tolerance mechanism, in which specialized low-fidelity DNA polymerases bypass lesions that interfere with replication. This process is inherently mutagenic due to the miscoding nature of DNA lesions, but it prevents double strand breaks, genome instability, and cancer. We describe here a quantitative method for measuring TLS in mammalian cells, based on non-replicating plasmids that carry a defined and site-specific DNA lesion in a single-stranded DNA region opposite a gap. The assay is responsive to the cellular composition of TLS DNA polymerases, and TLS regulators. It can be used with a broad variety of cultured mammalian cells, and is amenable to RNAi gene silencing, making it a useful tool in the study of TLS in mammalian cells.

Multiple two-polymerase mechanisms in mammalian translesion DNA synthesis.

The encounter of replication forks with DNA lesions may lead to fork arrest and/or the formation of single-stranded gaps. A major strategy to cope with these replication irregularities is translesion DNA synthesis (TLS), in which specialized error-prone DNA polymerases bypass the blocking lesions. Recent studies suggest that TLS across a particular DNA lesion may involve as many as four different TLS polymerases, acting in two-polymerase reactions in which insertion by a particular polymerase is followed by extension by another polymerase. Insertion determines the accuracy and mutagenic specificity of the TLS reaction, and is carried out by one of several polymerases such as poleta, polkappa or poliota. In contrast, extension is carried out primarily by polzeta. In cells from XPV patients, which are deficient in TLS across cyclobutane pyrimidine dimers (CPD) due to a deficiency in poleta, TLS is carried out by at least two backup reactions each involving two polymerases: One reaction involves polkappa and polzeta, and the other poliota and polzeta. These mechanisms may also assist poleta in normal cells under an excessive amount of UV lesions.

Two-polymerase mechanisms dictate error-free and error-prone translesion DNA synthesis in mammals.

DNA replication across blocking lesions occurs by translesion DNA synthesis (TLS), involving a multitude of mutagenic DNA polymerases that operate to protect the mammalian genome. Using a quantitative TLS assay, we identified three main classes of TLS in human cells: two rapid and error-free, and the third slow and error-prone. A single gene, REV3L, encoding the catalytic subunit of DNA polymerase zeta (pol zeta), was found to have a pivotal role in TLS, being involved in TLS across all lesions examined, except for a TT cyclobutane dimer. Genetic epistasis siRNA analysis indicated that discrete two-polymerase combinations with pol zeta dictate error-prone or error-free TLS across the same lesion. These results highlight the central role of pol zeta in both error-prone and error-free TLS in mammalian cells, and show that bypass of a single lesion may involve at least three different DNA polymerases, operating in different two-polymerase combinations.

Role of GPR40 in fatty acid action on the beta cell line INS-1E.

GPR40 is a G protein-coupled receptor expressed preferentially in beta cells, that has been implicated in mediating free fatty acid-stimulated insulin release. GPR40 RNAi impaired the ability of palmitic acid (PA) to increase both insulin secretion and intracellular calcium ([Ca2+]i). The PA-dependent [Ca2+]i increase was attenuated by inhibitors of Galphaq, PLC, and SERCA. Thus GPR40 activates the Galphaq pathway, leading to release of Ca2+ from the ER. Yet the GPR40-dependent [Ca2+]i rise was dependent on extracellular Ca2+ and elevated glucose, and was blocked by inhibition of L-type calcium channels (LTCC) or opening of the K(ATP) channel; this suggests that GPR40 promotes Ca2+ influx through up-regulation of LTCC pre-activated by glucose and membrane depolarization. Taken together, the data indicate that GPR40 mediates the increase in [Ca2+]i and insulin secretion through the Galphaq-PLC pathway, resulting in release of Ca2+ from the ER and leading to up-regulation of Ca2+ influx via LTCC.