Single-cell morphological and transcriptome analysis unveil inhibitors of polyploid giant breast cancer cells in vitro.

Considerable evidence suggests that breast cancer therapeutic resistance and relapse can be driven by polyploid giant cancer cells (PGCCs). The number of PGCCs increases with the stages of disease and therapeutic stress. Given the importance of PGCCs, it remains challenging to eradicate them. To discover effective anti-PGCC compounds, there is an unmet need to rapidly distinguish compounds that kill non-PGCCs, PGCCs, or both. Here, we establish a single-cell morphological analysis pipeline with a high throughput and great precision to characterize dynamics of individual cells. In this manner, we screen a library to identify promising compounds that inhibit all cancer cells or only PGCCs (e.g., regulators of HDAC, proteasome, and ferroptosis). Additionally, we perform scRNA-Seq to reveal altered cell cycle, metabolism, and ferroptosis sensitivity in breast PGCCs. The combination of single-cell morphological and molecular investigation reveals promising anti-PGCC strategies for breast cancer treatment and other malignancies.

Microfluidic single-cell migration chip reveals insights into the impact of extracellular matrices on cell movement.

Cell migration is a complex process that plays a crucial role in normal physiology and pathologies such as cancer, autoimmune diseases, and mental disorders. Conventional cell migration assays face limitations in tracking a large number of individual migrating cells. To address this challenge, we have developed a high-throughput microfluidic cell migration chip, which seamlessly integrates robotic liquid handling and computer vision to swiftly monitor the movement of 3200 individual cells, providing unparalleled single-cell resolution for discerning distinct behaviors of the fast-moving cell population. This study focuses on the ECM's role in regulating cellular migration, utilizing this cutting-edge microfluidic technology to investigate the impact of ten different ECMs on triple-negative breast cancer cell lines. We found that collagen IV, collagen III, and collagen I coatings were the top enhancers of cell movement. Combining these ECMs increased cell motility, but the effect was sub-additive. Furthermore, we examined 87 compounds and found that while some compounds inhibited migration on all substrates, significantly distinct effects on differently coated substrates were observed, underscoring the importance of considering ECM coating. We also utilized cells expressing a fluorescent actin reporter and observed distinct actin structures in ECM-interacting cells. ScRNA-Seq analysis revealed that ECM coatings induced EMT and enhanced cell migration. Finally, we identified genes that were particularly up-regulated by collagen IV and the selective inhibitors successfully blocked cell migration on collagen IV. Overall, the study provides insights into the impact of various ECMs on cell migration and dynamics of cell movement with implications for developing therapeutic strategies to combat diseases related to cell motility.

High-Throughput Cellular Heterogeneity Analysis in Cell Migration at the Single-Cell Level.

Cancer cell migration represents an essential step toward metastasis and cancer deaths. However, conventional drug discovery focuses on cytotoxic and growth-inhibiting compounds rather than inhibitors of migration. Drug screening assays generally measure the average response of many cells, masking distinct cell populations that drive metastasis and resist treatments. Here, this work presents a high-throughput microfluidic cell migration platform that coordinates robotic liquid handling and computer vision for rapidly quantifying individual cellular motility. Using this innovative technology, 172 compounds were tested and a surprisingly low correlation between migration and growth inhibition was found. Notably, many compounds were found to inhibit migration of most cells while leaving fast-moving subpopulations unaffected. This work further pinpoints synergistic drug combinations, including Bortezomib and Danirixin, to stop fast-moving cells. To explain the observed cell behaviors, single-cell morphological and molecular analysis were performed. These studies establish a novel technology to identify promising migration inhibitors for cancer treatment and relevant applications.

Metabolic Engineering for the Comprehensive Utilization of N,N-Dimethylformamide-Containing Wastewater.

N, N-dimethylformamide is frequently present in industrial wastewater and is environmentally detrimental. The current study aims to assess the utilization and biodegradation of N, N-dimethylformamide-containing wastewater to lessen the associated environmental load. Results show that addition of wastewater containing N, N-dimethylformamide to Trichoderma reesei fermentation media enhances cellulase production and facilitates cellulose hydrolysis. However, N, N-dimethylformamide is a cellulase enhancer that is not degraded during cellulase production in T. reesei fermentation and is retained in the N, N-dimethylformamide-enhanced cellulase solution. Indeed, the cellulosic sugar solution generated via lignocellulose hydrolysis with N, N-dimethylformamide-enhanced cellulase retains N, N-dimethylformamide. We further identified three core enzyme modules─N, N-dimethylformamidase, dimethylamine dehydrogenase, and methylamine dehydrogenase enzyme─which were inserted into Escherichia coli to develop metabolically engineered strains. These strains degraded N, N-dimethylformamide and produced succinate using N, N-dimethylformamide-enhanced cellulosic sugar as the substrate. The platform described here can be applied to effectively convert waste into valuable bioproducts.

Production of sesquiterpene patchoulol in mitochondrion-engineered Saccharomyces cerevisiae.

Patchoulol is a natural sesquiterpene, which is widely used in perfumes and cosmetics. In the work, the mitochondria of S. cerevisiae were engineered for patchoulol production. The patchoulol titer of mitochondria-compartmentalized strain (1.79 mg/L) was 2.71-fold higher than that of control strain (0.66 mg/L) using genome-integrated patchoulol synthase, indicating that mitochondria compartmentation resulted in higher concentration of FPP (farnesyl pyrophosphate) precursor for patchoulol production. Moreover, when fused FPP synthase and patchoulol synthase was overexpressed in the strain with a mitochondria-localized DMAPP (dimethylallyl diphosphate) pathway, the production of patchoulol increased significantly to 19.24 mg/L, indicating more precursors were provided for patchoulol production. Nevertheless, the introduction of excess foreign proteins into mitochondria might cause a certain stress on mitochondria and showed a negative effect on the growth of yeast cells, which could hinder the expression of foreign pathways and reduce the patchoulol production. In conclusion, mitochondria-engineered yeast cells showed important potential for the enhanced biosynthesis of patchoulol, and further engineering could be considered based on the present work.

An immune-related nomogram model that predicts the overall survival of patients with lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma accounts for approximately 40% of all primary lung cancers; however, the mortality rates remain high. Successfully predicting progression and overall (OS) time will provide clinicians with more options to manage this disease. METHODS: We analyzed RNA sequencing data from 510 cases of lung adenocarcinoma from The Cancer Genome Atlas database using CIBERSORT, ImmuCellAI, and ESTIMATE algorithms. Through these data we constructed 6 immune subtypes and then compared the difference of OS, immune infiltration level and gene expression between these immune subtypes. Also, all the subtypes and immune cells infiltration level were used to evaluate the relationship with prognosis and we introduced lasso-cox method to constructe an immune-related prognosis model. Finally we validated this model in another independent cohort. RESULTS: The C3 immune subtype of lung adenocarcinoma exhibited longer survival, whereas the C1 subtype was associated with a higher mutation rate of MUC17 and FLG genes compared with other subtypes. A multifactorial correlation analysis revealed that immune cell infiltration was closely associated with overall survival. Using data from 510 cases, we constructed a nomogram prediction model composed of clinicopathologic factors and immune signatures. This model produced a C-index of 0.73 and achieved a C-index of 0.844 using a validation set. CONCLUSIONS: Through this study we constructed an immune related prognosis model to instruct lung adenocarcinoma's OS and validated its value in another independent cohost. These results will be useful in guiding treatment for lung adenocarcinoma based on tumor immune profiles.

OCT based four-dimensional cardiac imaging of a living chick embryo using an impedance signal as a gating for post-acquisition synchronization.

Optical coherence tomography (OCT) is a non-invasive imaging modality with high spatial resolution suitable for early embryonic heart imaging. However, the most commonly used OCT systems cannot provide direct 4-D imaging due to acquisition speed limitations. We proposed a retrospective gating 4-D reconstruction method based on spectral domain OCT. A special circuit was designed to measure the impedance change of chick embryos in response to the heart beating. The impedance signal was acquired simultaneously with the OCT B-scan image sequence at several different locations along the heart. The impedance signal was used as a gating for 4-D reconstruction. The reconstruction algorithm includes cardiac period calculation, interpolation from multi-cardiac cycle image sequence into one cardiac cycle, and cardiac phase synchronization among the different locations of the heart. The synchronism of the impedance signal change with the heartbeat was verified. Using the proposed method, we reconstructed the cardiac outflow tract (OFT) of chick embryos at an early stage of development (Hamburger-Hamilton stage 18). We showed that the reconstructed 4-D images correctly captured the dynamics of the OFT wall motion.

Structure-guided engineering of a flavin-containing monooxygenase for the efficient production of indirubin.

Indirubin is a bisindole compound for the treatment of chronic myelocytic leukemia. Here, we presented a structure-guided method to improve the activity of a flavin-containing monooxygenase (bFMO) for the efficient production of indirubin in Escherichia coli. A flexible loop interlocked with the active pocket through a helix and the substrate tunnel rather than the active pocket in bFMO were identified to be two reconfigurable structures to improve its activity, resulting in K223R and N291T mutants with enhanced catalytic activity by 2.5- and 2.0-fold, respectively. A combined modification at the two regions (K223R/D317S) achieved a 6.6-fold improvement in catalytic efficiency (kcat/Km) due to enhancing π-π stacking interactions stabilization. Finally, an engineered E. coli strain was constructed by metabolic engineering, which could produce 860.7 mg/L (18 mg/L/h) indirubin, the highest yield ever reported. This work provides new insight into the redesign of FMOs to boost their activities and an efficient approach to produce indirubin.

High-Level Production of Sesquiterpene Patchoulol in Saccharomyces cerevisiae.

Patchoulol is a tricyclic sesquiterpene widely used in perfumes and cosmetics. Herein, comprehensive engineering strategies were employed to construct an efficient yeast strain for patchoulol production. First, a platform strain was constructed via pathway modification. Second, three off-pathway genes were deleted, which led to significant physiological changes in yeast. Further, strengthening of the ergosterol pathway, enhancement of the energy supply, and a decrease in intracellular reactive oxygen species were implemented to improve the physiological status of yeast, demonstrating a new promotive relationship between ergosterol biosynthesis and synthesis of patchoulol. Moreover, patchoulol synthase was improved through protein modification and Mg2+ addition, reaching a final titer of 141.5 mg/L in a shake flask. Finally, a two-stage fermentation with dodecane addition was employed to achieve the highest production (1632.0 mg/L, 87.0 mg/g dry cell weight, 233.1 mg/L/d) ever reported for patchoulol in a 5 L bioreactor. This work lays a foundation for green and efficient patchoulol production.

A simple approach to mediate genome editing in the filamentous fungus Trichoderma reesei by CRISPR/Cas9-coupled in vivo gRNA transcription.

OBJECTIVE: To simplify CRISPR/Cas9 genome editing in the industrial filamentous fungus Trichoderma reesei based on in vivo guide RNA (gRNA) transcription. RESULTS: Two putative RNA polymerase III U6 snRNA genes were identified in the genome of T. reesei QM6a by BLASTN using Myceliophthora. thermophila U6 snRNA gene as the template. The regions approximately 500 bp upstream of two U6 genes were efficient promoters for the in vivo expression of gRNA. The CRISPR system consisting of Cas9 and in vivo synthesized gRNA under control of the T. reesei U6 snRNA promoters was sufficient to cause a frameshift mutation in the ura5 gene via non-homologous end-joining-mediated events. CONCLUSIONS: We report a simple gene editing method using a CRISPR/Cas9-coupled in vivo gRNA transcription system in T. reesei.

N-terminal truncated carboxypeptidase E represses E-cadherin expression in lung cancer by stabilizing the Snail-HDAC complex.

The N-terminal truncated carboxypeptidase E (CPEΔN) protein, an alternative splicing product of the carboxypeptidase E gene, has recently been recognized as an independent predictor for the recurrence and metastasis of lung adenocarcinoma. In this study, we showed that CPEΔN may accelerate lung cancer invasion via an E-cadherin-dependent mechanism. In vitro experiments and in vivo bioluminescence imaging assay revealed CPEΔN promoted the mobility and invasion of human lung cancer cells by suppressing endogenous expression of E-cadherin, a critical regulator for epithelial tissue homeostasis. Further mechanistic analyses revealed that CPEΔN directly interacted with and stabilized the Snail/HDAC1/HDAC3 complex within the promoter region of the E-cadherin-encoding CDH1 gene. CPEΔN overexpression led to a reduction of histone H3K9 acetylation and an increase of H3K9 and H3K27 trimethylation in the CHD1 gene promoter and ultimately inhibited E-cadherin transcription. In addition, correlations among CPEΔN, E-cadherin expression and tumor progression in 195 cases of lung adenocarcinoma patients were analyzed. Higher nuclear expression of CPEΔN was detected in patients with advanced stage of lung adenocarcinoma. Nuclear expression of CPEΔN was negatively correlated with the cell membrane expression of E-cadherin. Collectively, our findings illustrated that CPEΔN was involved in the transcriptional regulation of the epithelial-mesenchymal transition-related gene CDH1 and provide novel insights into CPEΔN-associated lung cancer metastasis.

An efficient shortened genetic transformation strategy for filamentous fungus Trichoderma reesei.

The filamentous fungus Trichoderma reesei is one of the most important fungi for the production of cellulases and xylanases, which can be used for biofuel production from lignocellulose. We aimed to develop an effective selection marker system for more extensive functional genomic studies in the fungus T. reesei, and to construct better industrial transformants for producing cellulases. Here, we present a novel effective G418 selection marker to use a codon-optimized neomycin phosphotransferase II gene nptII to transform T. reesei. We developed an effective and erasable selection marker, lcNG, and a combined genetic transformation system for gene manipulation in T. reesei using a two-Agrobacterium-mediated transformation method. This transformation strategy combines two steps in the transformation protocol, which saves 15-30-day's time. The system could be a useful tool for the genetic engineering of T. reesei.

Phase unwrapping for Doppler spectral domain optical coherence tomography flow measurement.

Doppler optical coherence tomography (OCT) offers additional flow velocity information, which extends the application of OCT. Phase wrapping is the inherent problem that limits measureable range of Doppler OCT. We propose a phase unwrapping method which is suitable for correcting phase in Doppler OCT images. Points (pixels) in flow region are divided into groups according to the radial distance. Points in the same group are supposed to have close velocity. Phase unwrapping algorithm begins at the boundary layer group and is performed sequentially toward the center. Using the proposed criterion, points in a group are separated into two categories, signal points and noise points. Wrapping rounds are determined for signal points phase unwrapping. Mean value of the corrected signal points replaces the noise points for noise reduction. The method is validated with capillary tube flow phantom and in vivo blood flow.

Metagenomic sequencing reveals microbial gene catalogue of phosphinothricin-utilized soils in South China.

In the work, metagenomic sequencing was conducted to investigate the microbial gene catalogue in two samples of phosphinothricin (PPT)-utilized soils from South China. The gene sets contained an overwhelming majority of prevalent microbial genes, and were largely shared between these two samples. Several genus with high abundance were shared, such as norank_d__Bacteria, Nitrososphaera, Candidatus_Nitrosotalea, Candidatus_Nitrosocosmicus, and Rhodanobacter. Bacitracin resistance genes (61.4%) were the most dominant antibiotic resistance genes in two samples, followed by multidrug resistance efflux pump (12.5%). A lot of common virulence factors with high abundance were found in two samples, such as Alginate, Capsule I, ClpC, FbpABC, and HitABC, many of which were used for the iron uptake system. Total 57 putative PPT acetyltransferase were annotated, and two of them were found to be novel putative acetyltransferases for acetylation and detoxification of PPT. In conclusion, the work revealed microbial gene catalogue of PPT-utilized soils and found two novel putative PPT acetyltransferases using metagenomics. The work facilitates the understanding of impact of PPT on complex microbial community structure and physiology resides in PPT-utilized soils. Moreover, two annotated PPT acetyltransferases show important potential for the development of transgenic herbicide-resistant crops.

Effects of Central Loop Length and Metal Ions on the Thermal Stability of G-Quadruplexes.

The central loop of G-quadruplex molecular beacons is a key element to sense target DNA or RNA sequences. In this study, circular dichroism spectroscopy (CD), thermal difference spectrum (TDS), non-denatured non-denaturing gel electrophoresis, and thermal stability analysis were used to investigate the effect of the central loop length on G-quadruplex features. Two series of G-quadruplexes, AG3TTAG3-(TTA)n-G3TTAG3T (n = 1-8) (named TTA series) and AG3TTTG3-(TTA)n-G3TTTG3T (n = 1-8) (named TTT series) were examined in K+ and Na+ solutions, respectively. CD and TDS spectral data indicated that TTA series adopted an antiparallel G-quadruplex structure in Na+ solution and a hybrid G-quadruplex structure in K+ solution respectively. TTT series exhibited a hybrid G-quadruplex structure in both Na+ and K+ solutions. UV melting curves indicated that the stability of G-quadruplex in both series was reduced by the elongation of central loop. Thermal stability analysis concluded that the G-quadruplex destabilization with long central loop is an entropy-driven process due to more flexible and longer central loops.

N,N-dimethylformamide induces cellulase production in the filamentous fungus Trichoderma reesei.

BACKGROUND: The filamentous fungus Trichoderma reesei produces cellulase enzymes that are widely studied for lignocellulose bioconversion to biofuel. N,N-dimethylformamide (DMF) is a versatile organic solvent used in large quantities in industries. RESULTS: In this study, we serendipitously found that biologically relevant concentrations of extracellular DMF-induced cellulase production in the T. reesei hyper-cellulolytic mutant Rut-C30 and wild-type strain QM6a. Next, by transcriptome analysis, we determined that plc-e encoding phospholipase C was activated by DMF and revealed that cytosolic Ca2+ plays a vital role in the response of T. reesei to DMF. Using EGTA (a putative extracellular Ca2+ chelator) and LaCl3 (a plasma membrane Ca2+ channel blocker), we demonstrated that DMF induced a cytosolic Ca2+ burst via extracellular Ca2+ and Ca2+ channels in T. reesei, and that the cytosolic Ca2+ burst induced by DMF-mediated overexpression of cellulase through calcium signaling. Deletion of crz1 confirmed that calcium signaling plays a dominant role in DMF-induced cellulase production. Additionally, 0.5-2% DMF increases the permeability of T. reesei mycelia for cellulase release. Simultaneous supplementation with 1% DMF and 10 mM Mn2+ to T. reesei Rut-C30 increased cellulase activity approximately fourfold compared to that without treatment and was also more than that observed in response to either treatment alone. CONCLUSIONS: Our results reveal that DMF-induced cellulase production via calcium signaling and permeabilization. Our results also provide insight into the role of calcium signaling in enzyme production for enhanced cellulase production and the development of novel inducers of cellulase.

Exosomes: A Promising Avenue for the Diagnosis of Breast Cancer.

Currently, despite the advances in individualized treatment, breast cancer still remains the deadliest form of cancer in women. Diagnostic, prognostic, and therapy-predictive methods are mainly based on the evaluation of tumor tissue samples and are aimed to improve the overall therapeutic level. Therefore, the exploration of a series of circulating biomarkers, which serve as the information source of tumors and could be obtained by peripheral blood samples, represents a high field of interest. Apart from classical biomarkers, exosomes, which are nanovesicles, are emerging as an accessible and efficient source of cell information. The purpose of this review is to summarize the peculiarities of the presently available breast cancer exosomal biomarkers; the review also provides the prediction of a multitude of potential target genes of exosomal microRNAs using 4 databases.

The biological macromolecule Nocardia rubra cell-wall skeleton as an avenue for cell-based immunotherapy.

Promoting the antitumor effects of cell-based immunotherapy for clinical application remains a difficult challenge. Nocardia rubra cell-wall skeleton (N-CWS) is an immunotherapeutic agent for cancers that have been proven to possess the ability to activate immune response without showing toxicity. However, its effects on immune cells that are derived from tumor patients and cultured in vitro remain unclear. As expected, N-CWS can enhance the proliferation and viability of cytokine-induced killer (CIK) cells, dendritic cells (DCs), and natural killer (NK) cells. The maturation of DCs and specific cytotoxicity against NK cells and CIK cells were consistently promoted. The TUNEL-staining and the Annexin V/propidium iodide assay revealed that after treatment with N-CWS, the stimulated CIK/NK cells could induce DNA breaks in tumor cells. Furthermore, quantitative real-time polymerase chain reaction and western blot analysis showed upregulation of proapoptotic biomarkers (caspase-3 and caspase-9) and a downregulation of the antiapoptotic biomarker Bcl-2 in the tumor cells of the N-CWS-treated group, indicating that N-CWS could induce hepatocellular carcinoma cell apoptosis via CIK/NK cells. Finally, CIK/NK cells could notably suppress the invasion and migration of tumor cells in the presence of N-CWS. Our study provides evidence that N-CWS could significantly increase the growth of CIK cells, DCs, and NK cells, particularly due to its robust antitumor activities by inducing apoptosis, and attenuate the invasion and migration of tumor cells.

Rapid expansion in the WAVE bioreactor of clinical scale cells for tumor immunotherapy.

Cell-based immunotherapy using natural killer (NK) cells, cytokine-induced killer (CIK) cells and dendritic cells (DCs) is emerging as a potential novel approach in the auxiliary treatment of a tumor. However, non-standard operation procedure, small-scale cell number, or human error may limit the clinical development of cell-based immunotherapy. To simplify clinical scale NK cells, CIK cells and DCs expansions, we investigated the use of the WAVE bioreactor, a closed system bioreactor that utilizes active perfusion to generate high cell numbers in minimal volumes. We developed an optimized rapid expansion protocol for the WAVE bioreactor that produces clinically relevant number of cells for our adoptive cell transfer clinical protocols. The high proliferative rate, surface phenotypes, and cytotoxicity of these immune cells, as well as the safety of cultivation were analyzed to illuminate the effect of WAVE bioreactor. The results demonstrated that the benefit of utilizing modern WAVE bioreactors in cancer immunotherapy was simple, safe, and flexible production.

Quantification of cerebral vascular perfusion density via optical coherence tomography based on locally adaptive regional growth.

Optical coherence tomography (OCT) angiography is a noninvasive imaging modality that produces volumetric views of blood flow perfusion in vivo with resolution at capillary level, which has been widely adopted to monitor cerebral perfusion status after stroke in experimental settings. Accurate quantification of cerebral perfusion from OCT angiograms is important for understanding the cerebral vascular pathophysiology and assessing the treatment of ischemic stroke. Quantification of blood vessels from OCT angiography faces some problems; one is uneven backscatter (which causes some blood vessels to be very bright, some very dark), and the other is that the brightness in the same blood vessel also changes due to the difference in diameter or depth. In this paper, we proposed a locally adaptive region growing algorithm to solve this problem. The algorithm, which confines the region growing process to a local region, is used to segment blood vessels in different images to cope well with the intensity changes in blood vessels. During segmentation, the initial seed pixels were selected with the aid of the Otsu algorithm, the growth criterion considered both global and local information, and the thresholds were also adjusted adaptively as local regions varied. After these processes are completed, we can calculate the percentage of segmented blood vessels across field of view of the images, named cerebral vascular perfusion density, and use it as an indicator to evaluate the cerebral blood perfusion of middle cerebral artery occlusion in mice. This paper demonstrates that the algorithm can produce satisfactory vascular segmentation results, and CVPD can be used as an effective indicator for evaluating post-ischemic injury.