Search PubMed⌕ Search

Biomedical subjects

Tao Xiong

Publications and source records attributed to Tao Xiong.

6 recordsLinked to original sources
PubMed2026

Cell type resolved MR based on brain single cell eQTLs corroborated by single cell RNA sequencing uncovers neuroimmune and vascular programs in intracerebral hemorrhage.

BACKGROUND: Intracerebral hemorrhage (ICH) lacks effective neuroprotective therapies. We integrated cell type–resolved genetic inference with single-cell profiling to map putative causal programs and multicellular circuitry relevant to ICH. METHODS: Cis-eQTLs from eight human brain cell types were used as instruments for two-sample Mendelian randomization (MR), with an ICH meta-analysis from large biobanks and a stroke consortium as the outcome. Instruments were LD-pruned and restricted to strong variants (F > 10). Inverse-variance weighting (IVW) was the primary estimator, supported by robustness methods, heterogeneity/pleiotropy diagnostics, and false discovery rate control. Experimental validation used mouse collagenase ICH single-cell RNA-seq at 24 h (n = 3 sham; n = 3 ICH) with Seurat integration, composition testing, Slingshot pseudotime, and CellChat. An independent mouse cohort underwent qRT–PCR for selected genes. RESULTS: The ICH meta-analysis showed acceptable genomic control, supporting downstream MR. We identified 524 nominal gene–cell type associations, with a glia-weighted signal landscape. Enrichment implicated autophagy/mitophagy, antigen processing, cytoskeletal and vesicular trafficking, endothelial matrix–adhesion programs, ferroptosis, and myelin stress pathways. In mouse scRNA-seq, disease-associated microglia expanded with reciprocal loss of homeostatic microglia and increased neutrophils and T cells. Prioritized genes showed directional concordance; qRT–PCR confirmed ARPC3 and EIF2AK2 upregulation and TBCK and SPECC1 downregulation in ICH versus sham. Pseudotime supported a shift toward disease-associated microglial states, and CellChat indicated increased network interaction strength with microglia and endothelium as hubs. CONCLUSIONS: Cell type–specific MR combined with single-cell validation highlights neuroimmune and neurovascular programs in ICH and links genetic signals to state transitions and inferred intercellular communication.

Animals↗
PubMed2005

Continuous wave-based multiphoton excitation fluorescence for capillary electrophoresis.

It was reported that a novel detection method, continuous wave (CW)-based multiphoton excitation (MPE) fluorescence detection with diode laser (DL), has been firstly proposed for capillary electrophoresis (CE). Special design of end-column detection configuration proved to be superior to on-column type, considering the detection sensitivity. Three different kinds of fluorescent tags that were widely used as molecular label in bio-analysis, such as small-molecule dye, fluorescent protein and nano particle or also referred to as quantum dot (QD), have been evaluated as samples for the constructed detection scheme. Quantitative analyses were also performed using rhodamine species as tests, which revealed dynamic linear range over two orders of magnitude, with detection limit down to zeptomole-level. Simultaneous detection of fluorescent dyestuffs with divergent excitation and emission wavelengths in a broad range showed advantage of this scheme over conventional laser-induced fluorescence (LIF) detection. Further investigations on CW-MPE fluorescence detection with diode laser for capillary zone electrophoresis (CZE) and micellar electrokinetic chromatography (MEKC) separations of fluorescein isothiocyanate (FITC) labeled amino acids indicated good prospect of this detection approach in various micro or nano-column liquid phase separation technologies.

Electrophoresis, Capillary↗
PubMed2005

In vivo optical imaging of human adenoid cystic carcinoma cell metastasis.

A noninvasive, whole-body, real-time fluorescence optical imaging of stable high-level green fluorescent protein (GFP)-expressing human adenoid cystic carcinoma (ACC-M-GFP) was demonstrated for in vivo visualization of metastatic behavior in nude mice. Five-week-old female nude mice were injected with ACC-M-GFP in the primary organ: submandibular gland. Metastases were only visualized by GFP expression in the lung. However, metastatic lesions of ACC-M-GFP in the lung, muscle, bladder and bony were found by imaging of GFP expression in intact mice through tail vein injection of ACC-M-GFP cells. The construction of highly fluorescent and stable GFP transfectants of ACC-M has revealed the multi-organ metastatic capability of ACC-M cells through this optical imaging.

Animals↗
PubMed2005

[Clinical observation on electroacupuncture for treatment of peripheral facial paralysis at different stages].

OBJECTIVE: To probe into the optimal opportunity of electroacupuncture for treatment of peripheral facial paralysis. METHODS: One hundred and twenty cases were randomly divided into group A and B, 60 cases in each group. The group A were treated by electroacupuncture and ultrashort-wave from the acute stage and the group B were treated by ultrashort-wave at the acute stage and ultrashort-wave plus electroacupuncture at the resting stage. RESULTS: The cured and markedly effective rate was 85.0% and the total effective rate was 98.3% in the group A, and 68.3% and 91.7% in the group B respectively (P < 0.05); there was no significant difference between the two groups in abnormal myoelectrogram before treatment and at the 8th day (P > 0.05); but at the 30th day the number of cases in whom BR wave turned to normal or mild abnormal in the group A were more than those in the group B (P < 0.05), and the shortening of the latent period of M wave and increase of the wave amplitude were significantly better than those in the group B (P < 0.05). CONCLUSION: Electroacupuncture at acute stage can significantly increase the cured and markedly effective rate, and the acute stage is the optimal opportunity for acupuncture treatment of peripheral facial paralysis.

Acupuncture Therapy↗
PubMedDate not supplied

Using uncorrelated discriminant analysis for tissue classification with gene expression data.

The classification of tissue samples based on gene expression data is an important problem in medical diagnosis of diseases such as cancer. In gene expression data, the number of genes is usually very high (in the thousands) compared to the number of data samples (in the tens or low hundreds); that is, the data dimension is large compared to the number of data points (such data is said to be undersampled). To cope with performance and accuracy problems associated with high dimensionality, it is commonplace to apply a preprocessing step that transforms the data to a space of significantly lower dimension with limited loss of the information present in the original data. Linear Discriminant Analysis (LDA) is a well-known technique for dimension reduction and feature extraction, but it is not applicable for undersampled data due to singularity problems associated with the matrices in the underlying representation. This paper presents a dimension reduction and feature extraction scheme, called Uncorrelated Linear Discriminant Analysis (ULDA), for undersampled problems and illustrates its utility on gene expression data. ULDA employs the Generalized Singular Value Decomposition method to handle undersampled data and the features that it produces in the transformed space are uncorrelated, which makes it attractive for gene expression data. The properties of ULDA are established rigorously and extensive experimental results on gene expression data are presented to illustrate its effectiveness in classifying tissue samples. These results provide a comparative study of various state-of-the-art classification methods on well-known gene expression data sets.

Algorithms↗