Cell-specific Gene Expression Analysis Research Articles

Good Cop, Bad Cop: Profiling the Immune Landscape in Multiple Myeloma.

Multiple myeloma (MM) is a dyscrasia of plasma cells (PCs) characterized by abnormal immunoglobulin (Ig) production. The disease remains incurable due to a multitude of mutations and structural abnormalities in MM cells, coupled with a favorable microenvironment and immune suppression that eventually contribute to the development of drug resistance. The bone marrow microenvironment (BMME) is composed of a cellular component comprising stromal cells, endothelial cells, osteoclasts, osteoblasts, and immune cells, and a non-cellular component made of the extracellular matrix (ECM) and the liquid milieu, which contains cytokines, growth factors, and chemokines. The bone marrow stromal cells (BMSCs) are involved in the adhesion of MM cells, promote the growth, proliferation, invasion, and drug resistance of MM cells, and are also crucial in angiogenesis and the formation of lytic bone lesions. Classical immunophenotyping in combination with advanced immune profiling using single-cell sequencing technologies has enabled immune cell-specific gene expression analysis in MM to further elucidate the roles of specific immune cell fractions from peripheral blood and bone marrow (BM) in myelomagenesis and progression, immune evasion and exhaustion mechanisms, and development of drug resistance and relapse. The review describes the role of BMME components in MM development and ongoing clinical trials using immunotherapeutic approaches.

Combining GAL4 GFP enhancer trap with split luciferase to measure spatiotemporal promoter activity in Arabidopsis.

SummaryIn multicellular organisms different types of tissues have distinct gene expression profiles associated with specific function or structure of the cell. Quantification of gene expression in whole organs or whole organisms can give misleading information about levels or dynamics of expression in specific cell types. Tissue‐ or cell‐specific analysis of gene expression has potential to enhance our understanding of gene regulation and interactions of cell signalling networks. The Arabidopsis circadian oscillator is a gene network which orchestrates rhythmic expression across the day/night cycle. There is heterogeneity between cell and tissue types of the composition and behaviour of the oscillator. In order to better understand the spatial and temporal patterns of gene expression, flexible tools are required. By combining a Gateway®‐compatible split luciferase construct with a GAL4 GFP enhancer trap system, we describe a tissue‐specific split luciferase assay for non‐invasive detection of spatiotemporal gene expression in Arabidopsis. We demonstrate the utility of this enhancer trap‐compatible split luciferase assay (ETSLA) system to investigate tissue‐specific dynamics of circadian gene expression. We confirm spatial heterogeneity of circadian gene expression in Arabidopsis leaves and describe the resources available to investigate any gene of interest.

Simplified method for cell-specific gene expression analysis in Caenorhabditis elegans

In the neural circuit functional identities of individual neurons are mainly specified by their differential gene expression patterns. Unveiling functional roles of each neuron requires cell-specific interrogation of neural circuitry in the context of gene expressions. The mRNA tagging strategy in Caenorhabditis elegans is a powerful technique, in which cell-specific transcripts can be isolated by co-immunoprecipitating the complexes of mRNAs and epitope-tagged poly(A) binding protein (3× FLAG–PAB-1), expressed in target neurons. However, the conventional protocol requires laborious and time-consuming procedures; chromosomal integration of gene encoding 3× FLAG–PAB-1 and bleaching of obtained integrant animals for the isolation of huge amounts of synchronized animals. In this paper, we have presented a simplified methodology for cell-specific mRNA tagging analysis in C. elegans. We show that mRNA tagging was achieved using transgenic animals expressing 3× FLAG–PAB-1 as an extrachromosomal array under the control of the flp-18 promoter, without the chromosomal integration procedure. Furthermore, we successfully isolated cell-specific mRNAs from adult transgenic animals synchronously grown from eggs laid by gravid adults during a time window of 3h. This simplification facilitates the implementation of cell-specific gene expression analysis of C. elegans, which contributes to the understanding of neural circuitry at a cell-specific resolution.

Global Transcriptional Analysis of Oocyte-Based and Factor-Based Nuclear Reprogramming in the Nonhuman Primate

The mechanisms of nuclear reprogramming following somatic cell nuclear transfer (SCNT) to enucleated oocytes or factor-based reprogramming are poorly understood. In this study global transcriptional analysis was performed on a number of different rhesus monkey (Macaca mulatta) cell and tissue samples, including rhesus-induced pluripotent stem cells (IPSCs) and rhesus SCNT-derived embryonic stem cells (SCNT-ESCs). Global transcriptional cluster analysis and stem cell-specific gene expression analysis both suggested that the oocyte-reprogrammed SCNT-ESCs were transcriptionally closer to the control fertilized ESCs than IPSCs. These results, combined with previous epigenetic analysis studies in the mouse, reinforce the hypothesis that oocyte-reprogrammed cell nuclei are more completely reprogrammed to an ESC state than IPSCs. Transcriptional analysis of rhesus oocytes detected over 500 ESC-specific genes, including OCT3/4, NR5A2, and DNMT3B. These results, combined with previously published reprogramming research, were used as the basis for a general model to explain the mechanisms of nuclear reprogramming.

Are some focal cortical dysplasias post‐migratory cortical malformations?

th week of gestation. Studies and debates on the developmental events that shape the neocortex date back to the first pioneers of neuroscience. However, during the last decade, an increasing bulk of literature has proved that the mechanisms underlying cortical development are much more complex than previously thought, and the rather simplistic schemes conceived in the past are now under permanent revision. Despite the very fast pace of identification of genes involved in cortical development, cell-specific gene expression analysis is not available nor is the knowledge about the intimate mechanisms that govern corticogenesis. Nevertheless, both genetic and environmental mechanisms have been identified in corticogenesis and three essential developmental steps are recognized : proliferation, migration and differentiation. This applies to all mammalian species including humans, whose brains reach maximal growth increase and complexity only during the last two months of gestation. Any disturbance, regardless of the cause, can lead to a wide range of morphological alterations, from severe brain malformations to local disruption of cortical structure. Improvement of our knowledge about basic mechanisms of corticogenesis require, therefore, a continuous debate and revision of concepts, nomenclature and classification schemes. In recognition that more complex mechanisms are involved in corticogenesis, these pathologies, originally defined as Neuronal Migration Disorders (NMDs), are now listed under the less ambiguous term of Malformations of Cortical Development (MCDs). MCDs represent a wide group of brain alterations encompassing many disorders with different pathogenesis, genetic abnormalities, structural neuropathological defects and clinical features. Notwithstanding, MCDs are frequently associated with neurological deficits and represent one of the most common causes of refractory epilepsies. Increasing advances in neuroimaging techniques, the refinement of neuropathological procedures and the recognition of several molecular pathways and genetic impact of MCD have led to the necessity for new classification schemes also useful in clinical practice. In consideration of the three main developmental processes, Barkovich

Compartment-specific quantitative gene expression analysis after laser microdissection from archival renal allograft biopsies

Various immunological and non-immunological pathomechanisms are responsible for the cellular damage in renal allografts. Since the kidney is an anatomically complex organ with functional and morphological heterogeneous compartments (interstitium, tubuli, vessels, glomeruli), the local response to injury maybe variable, therefore, the identification of local pathomechanisms is important. To elucidate any discrepancies in quantitative mRNA expression profiles between a total specimen analysis and a cell-specific evaluation after laser microdissection. Real-time RT-PCR was performed for complement component C3 and heme oxygenase-1 (HO-1) genes compared to the housekeeping gene beta-actin using whole section RNA extracted from formalin-fixed and paraffin-embedded archival material of 16 explanted, rejected renal allografts. Ten non-transplant nephrectomies served as controls. For five cases from each group, five different compartments of the organs (interstitium, proximal tubuli, distal tubuli, vessels, glomeruli) were microdissected and quantitative analysis for C3 and HO-1 was performed identically. Whole section mRNA expression analysis: the data showed a constant expression of the housekeeping gene beta-actin, a 7-fold increased expression of C3 and a 3-fold decreased expression of HO-1 in the allograft group as compared to the control group. mRNA expression results from microdissected compartments: in the control group, C3 and HO-1 expression could only be detected in the proximal tubuli of all cases whereas all five compartments analyzed from the rejecting kidneys showed expression of the two genes. In the allografts, expression levels of the investigated genes varied considerably not only among the different compartments but between individual cases as well. Laser microdissection combined with real-time RT-PCR is a feasible approach for retrospective quantitative gene expression analysis in formalin-fixed and paraffin-embedded renal allograft specimens. As shown for C3 and HO-1, cell-specific expression patterns ofpathogenetically relevant genes vary considerably between individual cases. A close correlation of morphology and cell-specific gene expression analysis will contribute to the elucidation of the complex pathogenesis of chronic renal allograft nephropathy.

Biosynthetic labeling of RNA with uracil phosphoribosyltransferase allows cell-specific microarray analysis of mRNA synthesis and decay

Standard microarrays measure mRNA abundance, not mRNA synthesis, and therefore cannot identify the mechanisms that regulate gene expression. We have developed a method to overcome this limitation by using the salvage enzyme uracil phosphoribosyltransferase (UPRT) from the protozoan Toxoplasma gondii. T. gondii UPRT has been well characterized because of its application in monitoring parasite growth: mammals lack this enzyme activity and thus only the parasite incorporates (3)H-uracil into its nucleic acids. In this study we used RNA labeling by UPRT to determine the roles of mRNA synthesis and decay in the control of gene expression during T. gondii asexual development. We also used this approach to specifically label parasite RNA during a mouse infection and to incorporate thio-substituted uridines into the RNA of human cells engineered to express T. gondii UPRT, indicating that engineered UPRT expression will allow cell-specific analysis of gene expression in organisms other than T. gondii.

Evaluation of the predictive value of Her-2/neu gene expression on osteosarcoma therapy in laser-microdissected paraffin-embedded tissue

Histologic response to chemotherapy is currently the strongest prognostic factor in high-grade osteosarcoma, but it can only be assessed after several weeks of therapy. Thus, detection of chemosensitivity at the time of diagnosis would be of great clinical importance. The expression of the proto-oncogene Her-2/neu has been shown to be of predictive value in breast cancer and has also been considered as prognostic marker for osteosarcomas, but reports of mainly immunohistochemical studies are controversial. Therefore, the aim of this study was to investigate Her-2/neu gene expression in laser-microdissected osteosarcoma cells. Laser microdissection enables the precise isolation of morphological defined cells from archival tissue specimens and is in combination with the highly sensitive real-time RT-PCR technique a valuable tool for cell-specific analysis of gene expression. Through optimization of current protocols, we could show that this technique can be successfully applied on formalin-fixed, paraffin-embedded and decalcified osteosarcoma tissue with high sensitivity and reproducibility. In all 17 osteosarcoma biopsies analyzed, we could detect Her-2/neu gene expression. Expression correlated significantly with the response to preoperative chemotherapy, which was assessed histologically according to the six-grade scale of Salzer-Kuntschik. Risk assessment on the basis of increased Her-2/neu gene expression matched the histologic findings in 16 out of 17 cases (94%). These data demonstrate the reliability of laser microdissection in the analysis of gene expression and suggest a possible role of Her-2/neu as prognostic marker for therapy outcome in osteosarcomas.