Elucidating the impact of cottonseed hydrolysates on CHO cell culture performance through transcriptomic analysis.

In order to evaluate the impact of plant-based hydrolysates on CHO cells, a transcriptomic study was undertaken using cottonseed hydrolysate and Illumina's NextSeq transcriptomics profiling for 2 days of a batch cell culture. While cottonseed hydrolysate extended cell growth and increased antibody titer, significant effects were seen on transcriptomic signatures of supplemented cultures when compared to untreated cultures, evaluated using fold change, gene ontology (GO), and KEGG pathway analysis. Transcription and other factors commonly associated with cell growth such as those of the Atf family and homeobox proteins were upregulated while genes in the Hippo signaling pathway were downregulated. Genes involved in anabolic pathways such as gluconeogenesis and those involving protein folding and translation elongation were upregulated. GO analysis of biological processes for cottonseed-supplemented cultures indicated enrichments in DNA replication, protein processing, and unfolded protein response while molecular functions associated with growth such as GTPases, ATP binding, and aminoacyl t-RNA ligase activity were also enriched. Cellular components associated with structural integrity such as actin cytoskeleton, microtubules, mitochondrion, and Lewy body were enriched. Enriched KEGG pathways include growth-associated pathways such as cell cycle, pI3K-AKT-mTOR, and cancer-related pathways as well as those enhancing glycan metabolism, purine metabolism, amino acid biosynthesis, and protein processing in the endoplasmic reticulum (ER). These transcriptomic profiles provide insights into the roles that hydrolysates such as cottonseed can play in altering CHO cell growth and other physiological characteristics as well as suggesting ways in which CHO cell culture may be modified for enhancing performance in biotechnology applications. KEY POINTS: • Hydrolysate-supplemented cultures increased mammalian cell growth and productivity. • Fold-change analysis revealed upregulation in transcription and translation. • Enriched GOs and KEGG pathways including cell cycle and metabolism were observed.

Sequencing: 10X Genomics 3' HT Assay for Gene Expression.

Single-cell RNA sequencing supports the isolation of individual cells and barcoding of cDNA, specific to each cell of origin. Subsequent sequencing of the generated library yields both the gene expression sequences and the cellular barcode, allowing distinction of gene expression patterns across individual cells. The 10X Genomics 3' HT assay uses a droplet-based method to isolate individual cells within oil emulsions, combined with a gel bead coated in uniquely barcoded primers, specific to each bead. The high-throughput, HT, assay is similar to its predecessor (3' v3.1) in reaction chemistry but utilizes (a) higher numbers of cellular barcodes, (b) a new, proprietary chip designed to target up to 60,000 cells per lane, and (c) captures up to 16 samples per run. The 3' HT assay supports whole cells and nuclei as input, with an approximate 60% capture rate. Here we describe the methods for sample quality control (QC) assays, loading and operation of the Chromium X instrument for cell capture, and cDNA synthesis and library preparation for downstream Illumina sequencing.

Transplantation elicits a clonally diverse CD8+ T cell response that is comprised of potent CD43+ effectors.

CD8+ T cells mediate acute rejection of allografts, which threatens the long-term survival of transplanted organs. Using MHC class I tetramers, we find that allogeneic CD8+ T cells are present at an elevated naive precursor frequency relative to other epitopes, only modestly increase in number after grafting, and maintain high T cell receptor diversity throughout the immune response. While antigen-specific effector CD8+ T cells poorly express the canonical effector marker KLRG-1, expression of the activated glycoform of CD43 defines potent effectors after transplantation. Activated CD43+ effector T cells maintain high expression of the coreceptor induced T cell costimulator (ICOS) in the presence of CTLA-4 immunoglobulin (Ig), and dual CTLA-4 Ig/anti-ICOS treatment prolongs graft survival. These data demonstrate that graft-specific CD8+ T cells have a distinct response profile relative to anti-pathogen CD8+ T cells and that CD43 and ICOS are critical surface receptors that define potent effector CD8+ T cell populations that form after transplantation.

Comparative Analysis of Single-cell and Single-nucleus RNA-sequencing in a Rabbit Model of Retinal Detachment-related Proliferative Vitreoretinopathy.

Purpose: Proliferative vitreoretinopathy (PVR) is the most common cause of failure of retinal reattachment surgery, and the molecular changes leading to this aberrant wound healing process are currently unknown. Our ultimate goal is to study PVR pathogenesis by employing single-cell transcriptomics to dissect cellular heterogeneity. Design: Here we aimed to compare single-cell RNA sequencing (scRNA-seq)  and single-nucleus RNA-sequencing (snRNA-seq) of retinal PVR samples in the rabbit model. Participants: Unilateral induction of PVR lesions in rabbit eyes with contralateral eyes serving as controls. Methods: Proliferative vitreoretinopathy was induced unilaterally in Dutch Belted rabbits. At different timepoints after PVR induction, retinas were dissociated into either cells or nuclei suspension and processed for scRNA-seq or snRNA-seq. Main Outcome Measures: Single cell and nuclei transcriptomic profiles of retinas after PVR induction. Results: Single-cell RNA sequencing and snRNA-seq were conducted on retinas at 4 hours and 14 days after disease induction. Although the capture rate of unique molecular identifiers and genes were greater in scRNA-seq samples, overall gene expression profiles of individual cell types were highly correlated between scRNA-seq and snRNA-seq. A major disparity between the 2 sequencing modalities was the cell type capture rate, however, with glial cell types overrepresented in scRNA-seq, and inner retinal neurons were enriched by snRNA-seq. Furthermore, fibrotic Müller glia were overrepresented in snRNA-seq samples, whereas reactive Müller glia were overrepresented in scRNA-seq samples. Trajectory analyses were similar between the 2 methods, allowing for the combined analysis of the scRNA-seq and snRNA-seq data sets. Conclusions: These findings highlight limitations of both scRNA-seq and snRNA-seq analysis and imply that use of both techniques together can more accurately identify transcriptional networks critical for aberrant fibrogenesis in PVR than using either in isolation. Financial Disclosures: Proprietary or commercial disclosure may be found after the references.

Single-cell transcriptome analysis of xenotransplanted human retinal organoids defines two migratory cell populations of nonretinal origin.

Human retinal organoid transplantation could potentially be a treatment for degenerative retinal diseases. How the recipient retina regulates the survival, maturation, and proliferation of transplanted organoid cells is unknown. We transplanted human retinal organoid-derived cells into photoreceptor-deficient mice and conducted histology and single-cell RNA sequencing alongside time-matched cultured retinal organoids. Unexpectedly, we observed human cells that migrated into all recipient retinal layers and traveled long distances. Using an unbiased approach, we identified these cells as astrocytes and brain/spinal cord-like neural precursors that were absent or rare in stage-matched cultured organoids. In contrast, retinal progenitor-derived rods and cones remained in the subretinal space, maturing more rapidly than those in the cultured controls. These data suggest that recipient microenvironment promotes the maturation of transplanted photoreceptors while inducing or facilitating the survival of migratory cell populations that are not normally derived from retinal progenitors. These findings have important implications for potential cell-based treatments of retinal diseases.

MicroRNA Profiles of Barrett's Esophagus and Esophageal Adenocarcinoma: Differences in Glandular Non-native Epithelium.

BACKGROUND: The tissue specificity and robustness of miRNAs may aid risk prediction in individuals diagnosed with Barrett's esophagus. As an initial step, we assessed whether miRNAs can positively distinguish esophageal adenocarcinoma from the precursor metaplasia Barrett's esophagus. METHODS: In a case-control study of 150 esophageal adenocarcinomas frequency matched to 148 Barrett's esophagus cases, we quantitated expression of 800 human miRNAs in formalin-fixed paraffin-embedded tissue RNA using NanoString miRNA v2. We tested differences in detection by case group using the χ(2) test and differences in expression using the Wilcoxon rank-sum test. Bonferroni-corrected statistical significance threshold was set at P < 6.25E-05. Sensitivity and specificity were assessed for the most significant miRNAs using 5-fold cross-validation. RESULTS: We observed 46 distinct miRNAs significantly increased in esophageal adenocarcinoma compared with Barrett's esophagus, 35 of which remained when restricted to T1b and T2 malignancies. Three miRNAs (miR-663b, miR-421, and miR-502-5p) were detected in >80% esophageal adenocarcinoma, but <20% of Barrett's esophagus. Seven miRNAs (miR-4286, miR-630, miR-575, miR-494, miR-320e, miR-4488, and miR-4508) exhibited the most extreme differences in expression with >5-fold increases. Using 5-fold cross-validation, we repeated feature (miR) selection and case-control prediction and computed performance criteria. Each of the five folds selected the same top 10 miRNAs, which, together, provided 98% sensitivity and 95% specificity. CONCLUSION: This study provides evidence that tissue miRNA profiles can discriminate esophageal adenocarcinoma from Barrett's esophagus. This large analysis has identified miRNAs that merit further investigation in relation to pathogenesis and diagnosis of esophageal adenocarcinoma. IMPACT: These candidate miRNAs may provide a means for improved risk stratification and more cost-effective surveillance.

Microarray analysis of mouse ear tissue exposed to bis-(2-chloroethyl) sulfide: gene expression profiles correlate with treatment efficacy and an established clinical endpoint.

Bis-(2-chloroethyl) sulfide (sulfur mustard; SM) is a potent alkylating agent. Three treatment compounds have been shown to limit SM damage in the mouse ear vesicant model: dimercaprol, octyl homovanillamide, and indomethacin. Microarrays were used to determine gene expression profiles of biopsies taken from mouse ears after exposure to SM in the presence or absence of treatment compounds. Mouse ears were topically exposed to SM alone or were pretreated for 15 min with a treatment compound and then exposed to SM. Ear tissue was harvested 24 h after exposure for ear weight determination, the endpoint used to evaluate treatment compound efficacy. RNA extracted from the tissues was used to generate microarray probes for gene expression profiling of therapeutic responses. Principal component analysis of the gene expression data revealed partitioning of the samples based on treatment compound and SM exposure. Patterns of gene responses to the treatment compounds were indicative of exposure condition and were phenotypically anchored to ear weight. Pretreatment with indomethacin, the least effective treatment compound, produced ear weights close to those treated with SM alone. Ear weights from animals pretreated with dimercaprol or octyl homovanillamide were more closely associated with exposure to vehicle alone. Correlation coefficients between gene expression level and ear weight revealed genes involved in mediating responses to both SM exposure and treatment compounds. These data provide a basis for elucidating the mechanisms of response to SM and drug treatment and also provide a basis for developing strategies to accelerate development of effective SM medical countermeasures.

Genomic analysis of murine pulmonary tissue following carbonyl chloride inhalation.

Carbonyl chloride (phosgene) is a toxic industrial compound widely used in industry for the production of synthetic products, such as polyfoam rubber, plastics, and dyes. Exposure to phosgene results in a latent (1-24 h), potentially life-threatening pulmonary edema and irreversible acute lung injury. A genomic approach was utilized to investigate the molecular mechanism of phosgene-induced lung injury. CD-1 male mice were exposed whole body to either air or a concentration x time amount of 32 mg/m3 (8 ppm) phosgene for 20 min (640 mg x min/m3). Lung tissue was collected from air- or phosgene-exposed mice at 0.5, 1, 4, 8, 12, 24, 48, and 72 h postexposure. RNA was extracted from the lung and used as starting material for the probing of oligonucleotide microarrays to determine changes in gene expression following phosgene exposure. The data were analyzed using principal component analysis to determine the greatest sources of data variability. A three-way analysis of variance based on exposure, time, and sample was performed to identify the genes most significantly changed as a result of phosgene exposure. These genes were rank ordered by p values and categorized based on molecular function and biological process. Some of the most significant changes in gene expression reflect changes in glutathione synthesis and redox regulation of the cell, including upregulation of glutathione S-transferase alpha-2, glutathione peroxidase 2, and glutamate-cysteine ligase, catalytic subunit (also known as gamma-glutamyl cysteine synthetase). This is in agreement with previous observations describing changes in redox enzyme activity after phosgene exposure. We are also investigating other pathways that are responsive to phosgene exposure to identify mechanisms of toxicity and potential therapeutic targets.