Identification of the best housekeeping gene for RT-qPCR analysis of human pancreatic organoids

Latest Advanced Techniques for Improving Intestinal Organoids Limitations

Intestinal organoids are valuable tools across different disciplines, from a clinical aspect to the biomedical research, providing a unique perspective on the complexity of the gastrointestinal system. They are alternatives to common cell lines as they can offer insights into architectural functionality and reduce the use of animal models. A deeper understanding of their organoid characteristics is required to harness their full potential. Despite their beneficial uses and multiple advantages, organoids have limitations that remain unaddressed. This review aims to elucidate the principal limitations of intestinal organoids, investigate structural defects such as the deficiency in a vascularized and lymphatic system, and absence of the microbiome, restrictions in mimicking the physiological gut model, including the lack of an acid-neutralizing system or a shortage of digestive enzymes, and the difficulties in their long-term maintenance and polarity accessibility. Development of innovative techniques to address these limitations will lead to improve in vivo recapitulation and pioneering further advancements in this field.

Renalase inhibition defends against acute and chronic β cell stress by regulating cell metabolism

OBJECTIVE

Renalase (Rnls) is annotated as an oxidase enzyme. It has been implicated in Type 1 diabetes (T1D) risk via genome-wide association studies (GWAS). We previously discovered through CRISPR screening and validation experiments that Rnls inhibition prevents or delays T1D in multiple mouse models of diabetes in vivo, and protects pancreatic β cells against autoimmune killing, ER and oxidative stress in vitro. The molecular biochemistry and functions of Rnls are largely uncharted. Here we studied the mechanisms of Rnls inhibition that underlie β cell protection during diabetogenic stress.

METHODS

Akita mice were treated with oral Pargyline (PG) in vivo to bind and inhibit Rnls, and pancreas or islets were harvested for β cell mass and β cell function analyses. Genetic and pharmacological tools were used to inhibit Rnls in β cell lines. RNA sequencing, metabolomics and metabolic function experiments were conducted in vitro in NIT-1 mouse β cell lines and human stem cell-derived β cells.

RESULTS

In vivo, PG improved glycemia and mildly preserved β cell mass and function in females. Genetic strategies to mutate (Rnlsmut) or knockout (Rnls KO) Rnls induced a robust metabolic shift towards glycolysis in both mouse and human β cell lines, in vitro. Stress protection was abolished when glycolysis was blocked with 2-deoxyglucose (2-DG). Pharmacological Rnls inhibition with PG did not strongly mimic these newly identified metabolic mechanisms.

CONCLUSIONS

Our work illustrates a role for Rnls in regulating cell metabolism. We show that inhibiting Rnls protects against chronic stress in vivo, and shields against acute stress in β cell lines in vitro by rewiring cell metabolism towards glycolysis.

Vertically Aligned Nanowires for Longitudinal Intracellular Sampling

Cells are diverse systems with unique molecular profiles that support vital functions, such as energy production and nutrient absorption. Advances in omics have provided valuable insights into these cellular processes, but many of these tools rely on cell lysis, limiting the ability to track dynamic changes over time. To overcome this, methods for longitudinal profiling of living cells have emerged; however, challenges such as low throughput and genetic manipulation still need to be addressed. Nanomaterials, particularly nanowires, offer a promising solution due to their size, high aspect ratios, low cost, simplicity, and potential for high-throughput manufacturing. Here, we present a nanowire-based platform for longitudinal mRNA profiling in living cells using vertically aligned nickel nanowire arrays for efficient mRNA extraction with minimal cellular disruption. We demonstrate its ability to track enhanced green fluorescent protein expression and transcriptomic changes from drug responses in the same cells over time, showcasing the platform's potential for dynamic cellular analysis.

Recent progress on the organoids: Techniques, advantages and applications

Organoids are a cutting-edge technology in the life sciences field, with applications in precision medicine, bionic organs, and toxicological evaluations of chemicals. Their 3D structure closely resembles that of real organs, allowing more accurate functional mimicry. The 3D organoid culture system can simulate the growth state of cells in vivo and establish a suspension culture system for organoid 3D culture by using scaffold-less or scaffold technology to avoid direct contact between cells and plastic culture vessels. Furthermore, organoids can simulate the pathophysiological state of tissues and organs in vitro. This paper primarily discusses the construction methodologies, as well as the advantages and disadvantages of 3D culture systems for both scaffold-free organoids and scaffolded organoids. This review also summarizes the application of organoid models in chemical toxicology evaluation, drug screening and functional evaluation, establishment of in vitro disease models, and research on disease occurrence and potential mechanisms. The aim is to provide a reference for the research and practical applications of organoid-related scientific fields.

Enhancing Chimeric Antigen Receptor T-Cell Generation via Microfluidic Mechanoporation and Lipid Nanoparticles

Chimeric antigen receptor (CAR)-T cell therapy has revolutionized cancer treatment by engineering patients' T cells to specifically target cancer cells. Traditional CAR-T cell manufacturing methods use viral transduction to integrate CAR genes into T cells, but this can cause severe side effects and immune reactions and is costly. To overcome these challenges, non-viral methods, such as plasmid DNA (pDNA) transfection, are being explored. Here, a high-throughput intracellular delivery platform that integrates microfluidic mechanoporation with lipid nanoparticle (LNP)-based delivery, LNP + Squeeze, is introduced. This system enhances pDNA transfection efficiency in T cells while maintaining cell viability compared to other non-viral transfection methods like electroporation. This platform successfully engineers CAR-T cells using primary human T cells with a high transfection efficiency and demonstrates potent cytotoxicity against melanoma cells. This approach offers a promising, cost-effective, and scalable alternative to viral methods, potentially improving the accessibility and efficacy of CAR-T cell therapies.

Reference-informed evaluation of batch correction for single-cell omics data with overcorrection awareness

Batch effect correction (BEC) is fundamental to integrate multiple single-cell RNA sequencing datasets, and its success is critical to empower in-depth interrogation for biological insights. However, no simple metric is available to evaluate BEC performance with sensitivity to data overcorrection, which erases true biological variations and leads to false biological discoveries. Here, we propose RBET, a reference-informed statistical framework for evaluating the success of BEC. Using extensive simulations and six real data examples including scRNA-seq and scATAC-seq datasets with different numbers of batches, batch effect sizes and numbers of cell types, we demonstrate that RBET evaluates the performance of BEC methods more fairly with biologically meaningful insights from data, while other methods may lead to false results. Moreover, RBET is computationally efficient, sensitive to overcorrection and robust to large batch effect sizes. Thus, RBET provides a robust guideline on selecting case-specific BEC method, and the concept of RBET is extendable to other modalities.

R-spondins secreted by human pancreas-derived mesenchymal stromal cells support pancreatic organoid proliferation

Mesenchymal stromal cells (MSC) play a critical role in the stem cell niche, a specialized microenvironment where stem cells reside and interact with surrounding cells and extracellular matrix components. Within the niche, MSC offer structural support, modulate inflammatory response, promote angiogenesis and release specific signaling molecules that influence stem cell behavior, including self-renewal, proliferation and differentiation. In epithelial tissues such as the intestine, stomach and liver, MSC act as an important source of cytokines and growth factors, but not much is known about their role in the pancreas. Our group has established a standardized technology for the generation of pancreatic organoids. Herein, we investigated the role of pancreatic mesenchymal stromal cells in the regulation of human pancreatic organoid proliferation and growth, using this 3D model in a co-culture system. We particularly focused on the capacity of pancreatic MSC to produce R-spondin factors, which are considered critical regulators of epithelial growth. We propose the development of a complex in vitro system that combines organoid technology and mesenchymal stromal cells, thereby promoting the assembloid new research era.

Off-the-Shelf Cord-Blood Mesenchymal Stromal Cells: Production, Quality Control, and Clinical Use

Background Recently, mesenchymal stromal cells (MSCs) have gained recognition for their clinical utility in transplantation to induce tolerance and to improve/replace pharmacological immunosuppression. Cord blood (CB)-derived MSCs are particularly attractive for their immunological naivety and peculiar anti-inflammatory and anti-apoptotic properties.

OBJECTIVES

The objective of this study was to obtain an inventory of CB MSCs able to support large-scale advanced therapy medicinal product (ATMP)-based clinical trials.

STUDY DESIGN

We isolated MSCs by plastic adherence in a GMP-compliant culture system. We established a well-characterized master cell bank and expanded a working cell bank to generate batches of finished MSC(CB) products certified for clinical use. The MSC(CB) produced by our facility was used in approved clinical trials or for therapeutic use, following single-patient authorization as an immune-suppressant agent.

RESULTS

We show the feasibility of a well-defined MSC manufacturing process and describe the main indications for which the MSCs were employed. We delve into a regulatory framework governing advanced therapy medicinal products (ATMPs), emphasizing the need of stringent quality control and safety assessments. From March 2012 to June 2023, 263 of our Good Manufacturing Practice (GMP)-certified MSC(CB) preparations were administered as ATMPs in 40 subjects affected by Graft-vs.-Host Disease, nephrotic syndrome, or bronco-pulmonary dysplasia of the newborn. There was no infusion-related adverse event. No patient experienced any grade toxicity. Encouraging preliminary outcome results were reported. Clinical response was registered in the majority of patients treated under therapeutic use authorization.

CONCLUSIONS

Our 10 years of experience with MSC(CB) described here provides valuable insights into the use of this innovative cell product in immune-mediated diseases.

Renalase inhibition regulates β cell metabolism to defend against acute and chronic stress

Renalase (Rnls), annotated as an oxidase enzyme, is a GWAS gene associated with Type 1 Diabetes (T1D) risk. We previously discovered that Rnls inhibition delays diabetes onset in mouse models of T1D in vivo , and protects pancreatic β cells against autoimmune killing, ER and oxidative stress in vitro . The molecular biochemistry and functions of Rnls are entirely uncharted. Here we find that Rnls inhibition defends against loss of β cell mass and islet dysfunction in chronically stressed Akita mice in vivo . We used RNA sequencing, untargeted and targeted metabolomics and metabolic function experiments in mouse and human β cells and discovered a robust and conserved metabolic shift towards glycolysis, amino acid abundance and GSH synthesis to counter protein misfolding stress, in vitro . Our work illustrates a function for Rnls in mammalian cells, and suggests an axis by which manipulating intrinsic properties of β cells can rewire metabolism to protect against diabetogenic stress.

PUM1 and PGK1 are Favorable Housekeeping Genes over Established Biodosimetry-related Housekeeping Genes such as HPRT1, ITFG1, DPM1, MRPS5, 18S rRNA and Others after Radiation Exposure

In gene expression (GE) studies, housekeeping genes (HKGs) are required for normalization purposes. In large-scale inter-laboratory comparison studies, significant differences in dose estimates are reported and divergent HKGs are employed by the teams. Among them, the 18S rRNA HKG is known for its robustness. However, the high abundance of 18S rRNA copy numbers requires dilution, which is time-consuming and a possible source of errors. This study was conducted to identify the most promising HKGs showing the least radiation-induced GE variance after radiation exposure. In the screening stage of this study, 35 HKGs were analyzed. This included selected HKGs (ITFG1, MRPS5, and DPM1) used in large-scale biodosimetry studies which were not covered on an additionally employed pre-designed 96-well platform comprising another 32 HKGs used for different exposures. Altogether 41 samples were examined, including 27 ex vivo X-ray irradiated blood samples (0, 0.5, 4 Gy), six X-irradiated samples (0, 0.5, 5 Gy) from two cell lines (U118, A549), as well as eight non-irradiated tissue samples to encompass multiple biological entities. In the independent validation stage, the most suitable candidate genes were examined from another 257 blood samples, taking advantage of already stored material originating from three studies. These comprise 100 blood samples from ex vivo X-ray irradiated (0-4 Gy) healthy donors, 68 blood samples from 5.8 Gy irradiated (cobalt-60) Rhesus macaques (RM) (LD29/60) collected 0-60 days postirradiation, and 89 blood samples from chemotherapy-(CTx) treated breast tumor patients. CTx and radiation-induced GE changes in previous studies appeared comparable. RNA was isolated, converted into cDNA, and GE was quantified employing TaqMan assays and quantitative RT-PCR. We calculated the standard deviation (SD) and the interquartile range (IQR) as measures of GE variance using raw cycle threshold (Ct) values and ranked the HKGs accordingly. Dose, time, age, and sex-dependent GE changes were examined employing the parametrical t-test and non-parametrical Kruskal Wallis test, as well as linear regression analysis. Generally, similar ranking results evolved using either SD or IQR GE measures of variance, indicating a tight distribution of GE values. PUM1 and PGK1 showed the lowest variance among the first ten most suitable genes in the screening phase. MRPL19 revealed low variance among the first ten most suitable genes in the screening phase only for blood and cells, but certain comparisons indicated a weak association of MRPL19 with dose (P = 0.02-0.09). In the validation phase, these results could be confirmed. Here, IQR Ct values from, e.g., X-irradiated blood samples were 0.6 raw Ct values for PUM1 and PGK1, which is considered to represent GE differences as expected due to methodological variance. Overall, when compared, the GE variance of both genes was either comparable or lower compared to 18S rRNA. Compared with the IQR GE values of PUM1 and PGKI, twofold-fivefold increased values were calculated for the biodosimetry HKG HPRT1, and comparable values were calculated for biodosimetry HKGs ITFG1, MRPS5, and DPM1. Significant dose-dependent associations were found for ITFG1 and MRPS5 (P = 0.001-0.07) and widely absent or weak (P = 0.02-0.07) for HPRT1 and DPM1. In summary, PUM1 and PGK1 appeared most promising for radiation exposure studies among the 35 HKGs examined, considering GE variance and adverse associations of GE with dose.

Live Organoid Cyclic Imaging

Organoids are becoming increasingly relevant in biology and medicine for their physiological complexity and accuracy in modeling human disease. To fully assess their biological profile while preserving their spatial information, spatiotemporal imaging tools are warranted. While previously developed imaging techniques, such as four-dimensional (4D) live imaging and light-sheet imaging have yielded important clinical insights, these technologies lack the combination of cyclic and multiplexed analysis. To address these challenges, bioorthogonal click chemistry is applied to display the first demonstration of multiplexed cyclic imaging of live and fixed patient-derived glioblastoma tumor organoids. This technology exploits bioorthogonal click chemistry to quench fluorescent signals from the surface and intracellular of labeled cells across multiple cycles, allowing for more accurate and efficient molecular profiling of their complex phenotypes. Herein, the versatility of this technology is demonstrated for the screening of glioblastoma markers in patient-derived human glioblastoma organoids while conserving their viability. It is anticipated that the findings and applications of this work can be broadly translated into investigating physiological developments in other organoid systems.

Development of a novel co-culture system using human pancreatic cancer cells and human iPSC-derived stellate cells to mimic the characteristics of pancreatic ductal adenocarcinoma in vitro

Pancreatic ductal adenocarcinoma (PDAC) is a serious disease with poor prognosis and prone to chemotherapy resistance. It is speculated that the tumor microenvironment (TME) of PDAC contributes to these characteristics. However, the detailed mechanisms of interactions between pancreatic cancer cells and stroma in the TME are unclear. Therefore, the aim of this study was to establish a co-culture system that mimics the TME, using cancer cells derived from PDAC patient specimens and stellate cells from human induced pluripotent stem cells as stromal cells. We succeeded in observing the interaction between cancer cells and stellate cells and reproduced some features of PDAC in vitro using our co-culture systems. In addition, we demonstrated the applicability of our co-culture system for drug treatment in vitro. To conclude, we propose our co-culture system as a novel method to analyze cell-cell interactions, especially in the TME of PDAC.

Deciphering the sex bias in housekeeping gene expression in adipose tissue: a comprehensive meta-analysis of transcriptomic studies

BACKGROUND

As the housekeeping genes (HKG) generally involved in maintaining essential cell functions are typically assumed to exhibit constant expression levels across cell types, they are commonly employed as internal controls in gene expression studies. Nevertheless, HKG may vary gene expression profile according to different variables introducing systematic errors into experimental results. Sex bias can indeed affect expression display, however, up to date, sex has not been typically considered as a biological variable.

METHODS

In this study, we evaluate the expression profiles of six classical housekeeping genes (four metabolic: GAPDH, HPRT, PPIA, and UBC, and two ribosomal: 18S and RPL19) to determine expression stability in adipose tissues (AT) of Homo sapiens and Mus musculus and check sex bias and their overall suitability as internal controls. We also assess the expression stability of all genes included in distinct whole-transcriptome microarrays available from the Gene Expression Omnibus database to identify sex-unbiased housekeeping genes (suHKG) suitable for use as internal controls. We perform a novel computational strategy based on meta-analysis techniques to identify any sexual dimorphisms in mRNA expression stability in AT and to properly validate potential candidates.

RESULTS

Just above half of the considered studies informed properly about the sex of the human samples, however, not enough female mouse samples were found to be included in this analysis. We found differences in the HKG expression stability in humans between female and male samples, with females presenting greater instability. We propose a suHKG signature including experimentally validated classical HKG like PPIA and RPL19 and novel potential markers for human AT and discarding others like the extensively used 18S gene due to a sex-based variability display in adipose tissue. Orthologs have also been assayed and proposed for mouse WAT suHKG signature. All results generated during this study are readily available by accessing an open web resource ( https://bioinfo.cipf.es/metafun-HKG ) for consultation and reuse in further studies.

CONCLUSIONS

This sex-based research proves that certain classical housekeeping genes fail to function adequately as controls when analyzing human adipose tissue considering sex as a variable. We confirm RPL19 and PPIA suitability as sex-unbiased human and mouse housekeeping genes derived from sex-specific expression profiles, and propose new ones such as RPS8 and UBB.