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Membrane receptors of mouse leukocytes. II. Sequential expression of membrane receptors and phagocytic capacity during leukocyte differentiation.

Analysis of four mature cell markers on mouse bone marrow leukocytes grown in vitro, demonstrated a distinct sequence of marker appearance during the terminal phases of granulocytic cell differentiation. A similar pattern of marker expression was also suggested by analysis of mature neutrophils and macrophages isolated from normal tissues. Among cultured neutrophils, receptors for the Fc portion of IgG (FcR) were first expressed on myelocytes and metamyelocytes, and then subsequently on more mature cells. Morphologically mature colony neutrophils (polymorphs) from agar cultures contained only FcR and complement receptor type two (CR(2)) (C3d receptor), and lacked both complement receptor type one (CR(1)) (C3b receptor) and the capacity to ingest latex, bacteria, or iron particles. Neutrophils from 2 and 3 wk liquid media cultures of marrow cells differed from agar grown neutrophils in that they had phagocytic capacity (particle ingestion) [Pi] in addition to FcR and CR(2). Furthermore, in the 4th and 5th wk of these continuous liquid cultures, CR(1) was also expressed, completing the surface marker profile of normal blood neutrophils. Based on these studies, the following order of appearance of these four markers on cells from the myelocytic series was proposed: FcR {arrow} FcR CR(2) {arrow} FcR CR(2) Pi {arrow} FcR CR(2) Pi CR(1). Differential studies of tissue leukocytes containing these same markers revealed that a heterogeneity existed among morphologically mature neutrophils. Even though 95 percent of blood polymorphs contained all four markers, the same was true of only half of spleen polymorphs and only 20 percent of bone marrow polymorphs. Cells of the monocyte-macrophage series were studies in parallel with neutrophils. Cultured marrow monocytes acquired the four mature cell markers so rapidly that the order of receptor appearance could not be determined. However, it was found that CR2 was lost during the terminal phase of monocyte maturation into activated macrophages.

Animals

Analysis of differentially expressed genes in schizophrenia based on bioinformatics and corresponding mRNA expression levels.

OBJECTIVE: This study aimed to use bioinformatics analysis to identify differentially expressed genes (DEGs) involved in the pathogenesis of schizophrenia and validate their mRNA expression levels through real-time quantitative PCR (qPCR). MATERIAL/METHODS: Datasets from the publicly available Gene Expression Omnibus (GEO) database were analyzed using R software to identify DEGs. Functional enrichment analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, were conducted. A protein-protein interaction (PPI) network was constructed using Cytoscape software to identify key genes with notable expression changes. The expression levels of these key genes were subsequently validated in schizophrenia patients using qPCR to assess potential susceptibility genes. RESULTS: In total, 813 DEGs were identified, with six key genes highlighted through GO analysis and PPI network screening. Among these, HDAC1, UBA52, and FYN demonstrated statistically significant differences in mRNA expression between schizophrenia patients and healthy controls (P&#xa0;<&#xa0;0.05). CONCLUSIONS: This study identified several DEGs potentially linked to the pathogenesis of schizophrenia, suggesting that HDAC1, UBA52, and FYN could serve as candidate susceptibility genes and diagnostic biomarkers. These findings provide new insights and directions for future schizophrenia research.

Humans

Determination of phase transitions in gutta-percha by differential thermal analysis.

Pure gutta-percha was heat-treated in a differential thermal analyzer. The high melting form crystallized on cooling when gutta-percha was heated to 70 C or less. Above 74 C, crystallization into the low melting form predominated. Either polymorph can be selectively crystallized by control of the heat-treatment temperature before cooling.

Chemical Phenomena

[Differential thermal analysis of the organic fraction of bone].

Thermal decomposition analysis of Bovine femur bone has been carried out by means of a Micro Differential Thermal Analyser. The analysis of both thermograms and amino acid compositions has revealed the complexity of collagen degradation mechanisms.

Amino Acids

Differential thermal analysis of aluminum hydroxide gel.

The development of order during the aging of aluminum hydroxide gel prepared by the reaction of aluminum chloride and ammonium hydroxide to a final pH of 7.0 can be monitored by differential thermal analysis. The loss of acid reactivity upon aging is accompanied by an increase in the temperature and intensity of the dehydroxylation endotherm and an accompanying decrease in the intensity of the water of hydration endotherm. With continued aging, the thermogram develops the characteristics of a crystalline aluminum hydroxide.

Aluminum Hydroxide

DiaReport: reproducible workflow for differential expression analysis and interactive reporting in DIA-based proteomics.

MOTIVATION: Data-independent acquisition (DIA) has become the preferred data acquisition method for mass spectrometry-based proteomics, yet, reproducible workflows for differential expression (DE) analysis and results reporting remain limited. We present DiaReport, an R package that performs precursor- and protein-level DE analysis from DIA-NN output using MSqRob and QFeatures, while generating high-quality, interactive HTML reports through Quarto. DiaReport integrates precursor data, filtering of missing values, normalization, protein summarization and statistical modeling within a single function, supporting both simple pairwise as well as complex experimental designs. The package provides structured outputs and configuration files to ensure computational reproducibility across different studies. To accommodate diverse research needs, DiaReport includes multiple reporting templates tailored to different proteomic applications. Applying DiaReport to an extracellular vesicle (EV) proteomics dataset demonstrates its ability to efficiently analyze DIA data and provide rapid insights into sample quality and protein level differences. AVAILABILITY: DiaReport is an open-source R package available at https://github.com/Gevaert-Lab/diareport (DOI: 10.5281/zenodo.20120604). The package is platform-independent and distributed under the MIT license. Reports are generated using Quarto and require only standard R dependencies. Detailed documentation, installation guides and usage vignettes are provided within the repository. The interactive HTML reports discussed in this study, including the UPS2 benchmark and EV case study, are archived on Zenodo (10.5281/zenodo.20122506 and 10.5281/zenodo.20123378).

Proteomics

Use of canonical variates analysis in differentiation of bacteria by pyrolysis gas-liquid chromatography.

Low-resolution pyrolysis gas-liquid chromatography (p.g.l.c.) can differentiate genera of aerobic food spoilage bacteria. Multivariate statistical techniques were applied but neither principal components nor furthest neighbour cluster analysis produced a consistent differentiation although both confirmed the reproducibility of p.g.l.c. When the distance between genera was redefined in terms of Mahalanobis D2- a generalized concept taking into account scatter around the mean-good differentiation was observed and could be displayed graphically by plotting the genus group means relative to the first two canonical variate axes. The coefficients of the canonical variates provide a strategy for discriminating between the genus groups. Some practical problems in the identification of unknowns using this technique are discussed.

Bacteria

Transcriptome analysis reveals that PRV XJ delgE/gI/TK protects against intestinal damage in nose-dropping-infected mice by regulating ECM-ITGA/ITGB-P-FAK.

Pseudorabies virus (PRV) is an ideal model for mechanistic investigations into &#x3b1;-herpesvirus. The neurotropism and latent infection of PRV have been extensively studied. Apart from neurological symptoms, diarrhea caused by PRV infection is also an essential cause of mortality in newborn and weaned piglets. However, little research has been done on PRV invasion of the gut. To fill this gap, a nasal drip PRV-infection mouse model was developed, consisting of three groups: the challenged group (Group A), the immunization-challenged group (Group B), and a mock group (Group C). The results showed that immunization with PRV XJ delgE/gI/TK successfully prevented intestinal damage caused by PRV drop-nose infection. Subsequently, intestines were collected for transcriptional analysis. Differentially expressed genes analysis revealed that PRV XJ delgE/gI/TK was effective in reducing the organismal intestinal transcriptional activity caused by PRV. The Group A vs Group C and Group A vs Group B had similar Kyoto Encyclopedia of Genes and Genomes (KEGG)-enriched signaling pathways and the differentially expressed genes were primarily enriched in pathways, such as cell adhesion molecules, focal adhesion kinase, and actin cytoskeleton regulation. Notably, transcriptome analysis indicated that genes associated with the focal adhesion kinase (FAK) signaling pathway (ECM-ITGA/ITGB-p-FAK) were significantly more highly expressed in Group A than in Group B and Group C. The results of quantitative real-time PCR (RT-qPCR) and western blotting were consistent with KEGG analysis. Therefore, we hypothesized that PRV promotes self-infection through activation of the ECM-ITGA/ITGB-p-FAK signaling pathway and that PRV XJ delgE/gI/TK immunization could attenuate the intestinal damage caused by PRV by inhibiting the activation of this pathway.IMPORTANCEPseudorabies virus (PRV) poses a significant threat to the swine industry and public health due to its ability to infect multiple species, including humans, leading to substantial economic losses and potential health risks. This study addresses a critical gap in understanding the impact of PRV infection on the gut, which has been less explored compared to its neurological effects. By developing a drip-nose PRV-infection mouse model, the research indicated that PRV might promote self-infection through activation of the ECM-ITGA/ITGB-p-FAK signaling pathway, and PRV XJ delgE/gI/TK immunization effectively prevents intestinal damage by significantly reducing the expression of genes in the ECM-ITGA/ITGB-p-FAK signaling pathway. The research has important implications for the swine industry and public health by contributing to the development of better vaccines and treatments, ultimately helping to control PRV and prevent its cross-species transmission.

Animals

An analysis of differential epidural spinal anesthesia and pentothal pain study in the differential diagnosis of back pain. Aids in avoiding unnecessary back surgery.

The selection of the proper patient for back surgery is of prime importance and is the topic of this report. An analysis of patients evaluated with differential epidural spinal anesthesia and the Pentothal pain study show these tests to be helpful in separating those patients with primarily organic pain who could benefit from surgery from those patients with primarily functional pain who should not be operated upon. These tests will help one determine whether a disability is related to the severity of pain, to the patient's emotional response to pain, or to a somatic manifestation of a gross emotional breakdown.

Affective Symptoms

Atlas-level single-cell integration and clustering-free differential expression analysis with GEDI 2.0.

MOTIVATION: GEDI is a generative framework for multi-sample, multi-condition single-cell analysis that performs batch correction, latent representation learning, and clustering-free differential expression within a unified model. However, the original implementation suffered from prohibitive memory use and runtime, preventing its application to modern atlas-scale datasets. RESULTS: We present GEDI 2.0, a complete high-performance reimplementation featuring a standalone C++ computational core with pre-allocated workspaces, strict sparse-matrix preservation, optimized BLAS routines, and multi-threaded block-coordinate descent. Across extensive benchmarks spanning up to 500 000 cells and 10 000 features, GEDI 2.0 achieves 40%-63.6% mean reduction in peak memory, 2.98&#xd7; mean single-threaded speedups, and up to 11.5&#xd7; acceleration with parallel execution, while maintaining full numerical equivalence to the original method. These improvements enable GEDI 2.0 to analyze million-cell datasets, a scale not achievable with the legacy implementation. GEDI 2.0 provides R and Python interfaces and seamless interoperability with common single-cell workflows. AVAILABILITY AND IMPLEMENTATION: Source code, documentation, reproducible codebase, and tutorials are available at https://github.com/csglab/gedi2.

Single-Cell Analysis

Hypercalcaemia in elderly hospital in-patients: value of discriminant analysis in differential diagnosis.

Plasma calcium was measured routinely as a part of profile screening of patients admitted to a geriatric department. Pathological hypercalcaemia was found in 1.33% of those screened, the cause being bone metastases (29%), hyperparathyroidism (21%), bronchial carcinoma without bone metastasis (18.5%), lymphosarcoma without bone metastasis (8%) and multiple myeloma (2.5%). There remained a further group of patients with hypercalcaemia and renal failure (21%) in whom diagnosis was often obscure. Where renal function was normal, discriminant analysis showed that the four main diagnostic groups were biochemically distinguishable. Discriminant analysis thus seems likely to be of practical value in the differential diagnosis of hypercalcaemia in elderly patients with normal renal function, but requires prospective validation.

Aged

damidBind: an R/bioconductor package for differential DamID analysis and data exploration.

SUMMARY: DamID, and its cell-type specific adaptations, including Targeted DamID (TaDa) and Chromatin Accessibility TaDa (CATaDa), are now widely-adopted as techniques for the genome-wide profiling of DNA binding proteins. Despite this popularity, no dedicated software solution exists for identifying differentially bound or accessible loci, or differentially transcribed genes, between cell types using DamID. The R/Bioconductor package damidBind provides these functions, allowing an end-user to move from processed binding profiles to identifying differentially-bound loci in a reproducible, statistically appropriate and straightforward workflow. AVAILABILITY AND IMPLEMENTATION: damidBind is an open-source R/Bioconductor package and freely available from Bioconductor at https://bioconductor.org/packages/damidBind/, and from GitHub at https://github.com/marshall-lab/damidBind. It is released under the GPLv3 licence.

Software

Risk factor analysis in differentiated thyroid cancer.

Six hundred patients with primary differentiated thyroid carcinoma had follow-up studies for a minimum of 15 years and a maximum of 45 years. Recurrence rate and death rate were significantly different in defined high-risk and low-risk groups of patients. These basic risk groups were defined by age and sex alone; low risk consisted of men 40 years of age and younger and women 50 years of age and younger whereas the high-risk group were older patients. Recurrence and death rates in patients at high risk were 33% and 27% while respective figures for patients at low risk were 11% and 4%. In more recent years these results have shown significant improvement. Basic risk group definition outweighed the effect of pathologic type, local disease extension, type of treatment, and site of recurrence or metastasis. For instance, radioactive iodine cured 70% of patients at low risk with metastatic disease but only 10% of patients at high risk. Less aggressive biologic behavior of thyroid cancer before the age of menopause implies that an estrogen-rich milieu may alter the effects of initiating and promoting factors in carcinogenesis. It also suggests that therapeutic trials of estrogen be undertaken in progressive metastatic differentiated thyroid cancer.

Adenocarcinoma