Transcriptomic experiment and comparison were performed to explore the effects of 16p11.2 microdeletion for cortical neural precursor cells (NPCs) and neuron cells (NCs) which were differentiated from our generated human induced pluripotent stem cells (hiPSCs).

We profiled the respective single-cell transcriptomes of Blood and CSF samples isolated from patients with neuromyelitis optica spectrum disorder at varieties of timepoints to reveal the transcriptional characteristics in human neuromyelitis optica spectrum disorder and cellular dynamics after BCMA-targeting CAR-T therapy.

We then performed Whole genome sequence to anlysis effect of Pt(II) on gene in Hela cell lines

Total transcriptome sequencing data of HeLa cells, human colorectal polyp and pneumonia samples.

A Multi-center, Open-label, Uncontrolled Phase III Clinical Study Evaluating the Efficacy, Safety and Pharmacokinetics in the Prophylactic Treatment of Recombinant Human Coagulation Factor VIII (SCT800) in Factor VIII Treated Children (< 12 Years) with Severe Haemophilia A

Pathogen-host adaptative interaction and complex population demographical processes, including admixture, drift, and Darwen selection, have considerably shaped the Neolithic-to-Modern Western Eurasian population structure and genetic susceptibility to modern human diseases. However, the genetic footprints of evolutionary events in East Asia remain unknown due to the underrepresentation of genomic diversity and the design of large-scale population studies. We reported one aggregated database of genome-wide-SNP variations from 796 Tai-Kadai (TK) genomes, including Bouyei first reported here, to explore the genetic history, population structure, and biological adaptative features of TK people from Southern China and Southeast Asia. We found geography-related population substructure among TK people using the state-of-the-art population genetic structure reconstruction techniques based on the allele frequency spectrum and haplotype-resolved phased fragments.

Human embryos arrested at 8-cell stage after in vitro fertilization are accompanied by a down-regulation of endogenous retrovirus MLT2A1, and the depletion of MLT2A1 renders the failure in progression through ZGA and the down-regulation of ZGA genes. Mechanistically, MLT2A1 RNAs mostly fuse with downstream heterologous retro-transposons, like L1 and Alu, to form chimeric transcripts, and these chimeric RNAs can form condensates with nuclear protein HNRNPU. This nucleoprotein complex acts as a core in forming an interlocking auto-regulatory network, which not only results in the interdependency and amplified expression of MLT2A1 copies at totipotent state, but also broad activation of ZGA genes potentially mediated by MLT2A1 downstream fusion sequences.

Human ASCs exosomes small RNA

There may also be many unknown risk factors for xenograft immune rejection that affect pig tissue or organ grafting long-term survival after entering the human body, including pig genes that cause rejection and human genes that reduce rejection. Here,we aimed to constructe a genome-wide gRNA lentiviral library, co-translating it with Cas9 into porcine vascular endothelial cells,Porcine kidney cells, and transferred them to non-human primates or human immune system sources to carried out the risk factors related to phytoimmune rejection.

scRNA-seq of human auricle

The recurrence of cutaneous squamous cell carcinoma (cSCC) after surgery is associated with the reprogramming of the tumor microenvironment (TME), and remains a key factor affecting its outcomes. We employed single-cell RNA sequencing (scRNA-seq) to examine the dynamic changes in epithelial cells, T cells, myeloid cells, and fibroblasts cells between primary and recurrent cSCC.

Insufficient extravillous trophoblast (EVT) migration and invasion increase the risk of recurrent pregnancy loss (RPL). However, one current main challenge for RPL clinical management is that factors which could regulate EVT migration and invasion are not fully uncovered, leading to a majority of RPL etiology remain unexplained and the lack of corresponding effective intervention strategies. In conclusion, our study demonstrates that the impaired GDF15-JAG1 axis at the maternal-fetal interface inhibits human EVT migration and invasion, thus participating in URPL pathogenesis.

Using human embryonic and induced pluripotent stem cells to in vitro model human embryogenesis and organogenesis.

Using next-generation sequencing methods to detect the pathogenic genes of 11β-hydroxylase deficiency for molecular diagnosis.

Samples stored at -80 were thawed at room temperature. Soil: Weigh 500 mg of sample and place it in a 2 mL centrifuge tube. Add two small steel beads followed by 1 mL of methanol-water (V:V=1:1, with L-2-chlorophenylalanine at 2 μg/mL). Pre-cool the sample at -40 for 2 min. Grind using a grinder at 60 Hz for 2 min. Transfer the homogenized sample to a 15 mL centrifuge tube and rinse the tube wall residue with 1 mL of methanol-water (V:V=1:1, containing L-2-chlorophenylalanine at 2 μg/mL). Repeat the procedure once. Centrifuge for 10 min at 7700 rpm and 4. Transfer 2.5 mL of the supernatant to a 5 mL centrifuge tube and freeze-dry. Re-dissolve the sample in 400 μL of methanol-water (V:V=1:4), vortex for 1 min, ultrasonic for 3 min, and transfer to a 1.5 mL centrifuge tube. Nutrient Solution: Pass 1 mL of the sample through an SPE solid-phase cartridge. Collect 3 mL of methanol eluate and dry using a nitrogen blower. After drying, add 300 μL of methanol-water (V:V=4:1, with L-2-chlorophenylalanine at 4 μg/mL) to re-dissolve. Vortex for 1 min and ultrasonic in an ice-water bath for 10 min. After completing the above procedures for both soil and nutrient solution samples, let them stand at -40 for 30 min. Centrifuge for 10 min at 12000 rpm and 4, draw 150 μL of the supernatant using a syringe, filter through a 0.22 μm organic phase needle filter, transfer to an LC sample vial, and store at -80 until LC-MS analysis. Quality control samples (QC) are prepared by combining equal volumes of extracts from all samples. The metabolomic data analysis was conducted by Shanghai Luming Biological Technology Co., Ltd., located in Shanghai, China. An ACQUITY UPLC I-Class Plus system (Waters Corporation, Milford, USA), equipped with a Q-Exactive mass spectrometer and a heated electrospray ionization (ESI) source (Thermo Fisher Scientific, Waltham, MA, USA), was employed for metabolic profiling in both positive and negative ESI ion modes. An ACQUITY UPLC HSS T3 column was used in both positive and negative ion modes. The binary gradient elution system, consisting of (A) water (with 0.1% formic acid, v/v) and (B) acetonitrile (with 0.1% formic acid, v/v), The mass range covered m/z 100 to 1,000. The resolution was set to 70,000 for full MS scans and 17,500 for HCD MS/MS scans. Collision energy settings were 10, 20, and 40 eV. The mass spectrometer settings were: spray voltage at 3800 V + and 3200 V ; sheath gas flow rate at 35 units; auxiliary gas flow rate at 8 units; capillary temperature at 320; auxiliary gas heater temperature at 350; and S-lens RF level set to 50. The original LC-MS data were processed using Progenesis QI V2.3 software (Nonlinear Dynamics, Newcastle, UK) for baseline filtering, peak identification, integration, retention time correction, peak alignment, and normalization. Parameters included a 5 ppm precursor tolerance, 10 ppm product tolerance, and a 5% product ion threshold. Compound identification was based on the precise mass-to-charge ratio (m/z), secondary fragments, and isotopic distribution using The Human Metabolome Database, Lipidmaps (V2.3), Metlin, and custom-built databases. The extracted data underwent further processing: peaks with more than 50% missing values (ion intensity = 0) were removed, zero values were replaced with half of the minimum value, and compounds were screened based on qualitative results. Compounds with scores below 36 out of 60 were considered inaccurate and excluded. A combined data matrix was generated from both positive and negative ion data.utilized the following gradient: 0.01 min, 5% B; 2 min, 5% B; 4 min, 30% B; 8 min, 50% B; 10 min, 80% B; 14 min, 100% B; 15 min, 100% B; 15.1 min, 5% B; 16 min, 5% B. The flow rate was set at 0.35 mL/min, and the column temperature was maintained at 45. During the analysis, all samples were maintained at 10. An injection volume of 2 μL was used. The data matrix was imported into R for Principle Component Analysis to visualize the overall sample distribution and assess the stability of the analysis process. Orthogonal Partial Least-Squares-Discriminant Analysis and Partial Least-Squares-Discriminant Analysis were employed to identify differing metabolites between groups. To prevent overfitting, the model's quality was assessed using 7-fold cross-validation and 200 Response Permutation Testing. Variable Importance of Projection values from the OPLS-DA model ranked each variable's contribution to group discrimination.

The raw data of single-cell transcriptome include 3 cases of paracancerous tissues and 5 cases of cancer tissues. The raw data of spatial transcriptome include 5 cases of cancer tissues.

Through viral metagenomics, we delve into the rodent and cohabiting environmental viral communities within plateau ecosystems. Simultaneously, we analyze the potential threats these viruses pose to human health, with a particular focus on risk factors for viral spillover, uncovering potential public health risks, and providing the basis for developing corresponding prevention and control strategies.

Samples stored at -80 were thawed at room temperature. Soil: Weigh 500 mg of sample and place it in a 2 ml centrifuge tube. Add two small steel beads followed by 1 ml of methanol-water. Pre-cool the sample at -40 for 2 min. Grind using a grinder at 60 Hz for 2 min. Transfer the homogenized sample to a 15 ml centrifuge tube and rinse the tube wall residue with 1 ml of methanol-water . Repeat the procedure once. Centrifuge for 10min at 7700 rpm and 4. Transfer 2.5 mL of the supernatant to a 5 mL centrifuge tube and freeze-dry. Re-dissolve the sample in 400 μL of methanol-water (V:V=1:4), vortex for 1 min, ultrasonic for 3 min, and transfer to a 1.5 mL centrifuge tube. Nutrient Solution: Pass 1 mL of the sample through an SPE solid-phase cartridge. Collect 3 mL of methanol eluate and dry using a nitrogen blower. After drying, add 300 μL of methanol-water to re-dissolve. Vortex for 1 min and ultrasonic in an ice-water bath for 10 min. After completing the above procedures for both soil and nutrient solution samples, let them stand at -40 for 30 min. Centrifuge for 10 min at 12000 rpm and 4, draw 150 μL of the supernatant using a syringe, filter through a 0.22 μm organic phase needle filter, transfer to an LC sample vial, and store at -80 until LC-MS analysis. Quality control samples (QC) are prepared by combining equal volumes of extracts from all samples. The metabolomic data analysis was conducted by Shanghai Luming Biological Technology Co., Ltd., located in Shanghai, China. An ACQUITY UPLC I-Class Plus system (Waters Corporation, Milford, USA), equipped with a Q-Exactive mass spectrometer and a heated electrospray ionization (ESI) source (Thermo Fisher Scientific, Waltham, MA, USA), was employed for metabolic profiling in both positive and negative ESI ion modes. An ACQUITY UPLC HSS T3 column was used in both positive and negative ion modes. The binary gradient elution system, consisting of (A) water (with 0.1% formic acid, v/v) and (B) acetonitrile (with 0.1% formic acid, v/v), utilized the following gradient: 0.01 min, 5% B; 2 min, 5% B; 4 min, 30% B; 8 min, 50% B; 10 min, 80% B; 14 min, 100% B; 15 min, 100% B; 15.1 min, 5% B; 16 min, 5% B. The flow rate was set at 0.35 mL/min, and the column temperature was maintained at 45. During the analysis, all samples were maintained at 10. An injection volume of 2 μL was used. The mass range covered m/z 100 to 1,000. The resolution was set to 70,000 for full MS scans and 17,500 for HCD MS/MS scans. Collision energy settings were 10,20, and 40eV. The mass spectrometer settings were: spray voltage at 3800 V + and 3200 V -; sheath gas flow rate at 35 units; auxiliary gas flow rate at 8 units; capillary temperature at 320; auxiliary gas heater temperature at 350; and S-lens RF level set to 50. The original LC-MS data were processed using Progenesis QI V2.3 software (Nonlinear Dynamics, Newcastle, UK) for baseline filtering, peak identification, integration, retention time correction, peak alignment, and normalization. Parameters included a 5 ppm precursor tolerance, 10 ppm product tolerance, and a 5% product ion threshold. Compound identification was based on the precise mass-to-charge ratio (m/z), secondary fragments, and isotopic distribution using The Human Metabolome Database (HMDB), Lipidmaps (V2.3), Metlin, and custom-built databases. The extracted data underwent further processing: peaks with more than 50% missing values (ion intensity = 0) were removed, zero values were replaced with half of the minimum value, and compounds were screened based on qualitative results. Compounds with scores below 36 out of 60 were considered inaccurate and excluded. A combined data matrix was generated from both positive and negative ion data. The data matrix was imported into R for Principle Component Analysis (PCA) to visualize the overall sample distribution and assess the stability of the analysis process. Orthogonal Partial Least-Squares-Discriminant Analysis (OPLS-DA) and Partial Least-Squares-Discriminant Analysis were employed to identify differing metabolites between groups. To prevent overfitting, the model's quality was assessed using 7-fold cross-validation and 200 Response Permutation Testing. Variable Importance of Projection values from the OPLS-DA model ranked each variable's contribution to group discrimination.

Aged livers are more prone to hepatic ischaemia/reperfusion injury (HIRI), which severely limits their utilization in liver transplantation (LT); however, the potential mechanism is complicated and remains unclear. Ferroptosis was previously shown to be critical for the pathogenesis of age-related diseases. Whether ferroptosis also contributes to aged HIRI is unknown. We used clinical donor liver specimens collected at pre- and postreperfusion, a murine model of aged HIRI, and mouse primary and human hepatocytes to examine the role of ferroptosis in aged HIRI. Mass spectrometry, methylate RNA immunoprecipitation sequencing (MeRIP-seq) and adeno-associated virus (AAV)-8 were used to identify and validate the potential regulatory mechanism. Aged livers are indeed more susceptible to HIRI and exhibit a higher degree of ferroptosis. Inhibiting ferroptosis obviously attenuated aged HIRI. Mass spectrometry revealed that fat mass and obesity-associated gene (FTO), a pivotal m6A demethylase, was downregulated in aged livers, especially during IRI. Series of in vivo and in vitro assays demonstrated FTO ameliorated aged HIRI by inhibiting ferroptosis. MeRIP-seq showed acyl-CoA synthetase long chain family 4 (ACSL4) and transferrin receptor protein 1 (TFRC), two key inducers of ferroptosis, were targets of FTO. The mitigating effect of FTO on aged HIRI required the inhibition of ACSL4 and TFRC mRNA stability in a m6A-dependent manner. Furthermore, we demonstrated NAD+ precursor nicotinamide mononucleotide (NMN) could upregulate FTO demethylase activity to suppress ferroptosis and attenuate aged HIRI.

This study aimed to evaluate the detection proficiency of metagenomic next-generation sequencing (mNGS) for the identification of microbes in cerebrospinal fluid (CSF) samples from patients with central nervous system (CNS) infection.