Project description:Objectives: To identify gene expression changes in acne flare-up patients, thereby exploring the mechanisms of acne flare-up after treatment. Methods: 11 acne patients and 3 healthy people were divided into 4 groups (group1: 4 with flare-up, group2: 4 with improvement, group3: 3 without obvious changes, group4: healthy control). Peripheral blood of patients before and after isotretinoin or minocycline were collected. RNA-seq were used to detect the gene expression. We applied data in self-contrast and intergroup comparisons. Results: In the self-contrast of group1, 22 upregulated genes were involved in Toll-like receptor signaling pathway and inflammatory response. Comparing group1 and group3 before treatment, 1778 upregulated genes enriched in Th17 cell differentiation, while 57 downregulated genes enriched in defensive response to organism. Conclusions: The gene expression profiles of acne flare-up patients changed. Inflammatory, immune responses played a prominent role in acne flare-up process and relatively weak defensive response to microbes, comedogenesis might be risk factors.
Project description:Blood samples from healthy controls and PAD patients were collected at Xiangya Hospital, China. Two to three milliliters of venous blood were drawn into EDTA-coated tubes and stored at 4°C. Plasma was isolated after centrifugation (2,000 g, 10 min, 4°C), aliquoted, and send to perform MS. Group1: Health control D1, A5, A46, B14,B22; Group2: PAD C6 C29 D45 A32
Project description:Genomic gains and losses, particularly amplification of oncogenes and deletion of tumor suppressor genes, are critical molecular events involved in tumorigenesis and cancer progression. These genomic structural abnormalities trigger pathway alterations which activate/inactivate transcription factors along protein network, and then affect gene transcription profiles. Therefore, trace-back analysis of the pathway alteration by integrating genomic copy number, transcription profile, and known protein network data is expected to provide key information to interpret tumorigenesis and cancer progression processes. However, there are a number of pathway alteration candidates, so that it is difficult to understand overall picture. Primitive approaches such as filtering by arbitrary selection of thresholds involve a risk of overlooking important pathway alterations and their triggers. We proposed a visualization method for the trace-back analysis of pathway alterations, called a Cluster Overlap Distribution Map (CODM). We applied the CODM to trace-back analysis of pathway alterations related to subtype classifications of high grade neuroendocrine carcinoma samples; 1) small cell lung carcinoma (SCLC) vs. large cell neuroendocrine carcinoma (LCNEC), and 2) group1 vs. group2 (this is the classification based on transcription profiles and group2 has a higher survival rate than group1). By effective use of 3D and color spaces, the CODM allowed us to understand the overall picture of pathway alteration without arbitrary selection of thresholds and to extract 6 pathway alterations related to only group1 vs. groups2, 2 pathway alterations related to only SCLC vs. LCNEC, and 2 pathway alterations related to both group1 vs. group2 and SCLC vs. LCNEC. Keywords: lung cancer profile
Project description:CS Baby Biome randomized control trial aims to investigate if the timing of intrapartum antibiotics given to mother influences the infant gut microbiome composition. The study was performed in women delivering via elective CS, who received antibiotics prior to skin incision, or after umbilical cord clamping.
Project description:Here we profiled fetal intestinal epithlelium derived organoids at day 3 (group1) and 30 (group2) of culture, adult orgnanoids at day 3 (group3) and 30 (group4) of culture and whole intestinal tissues at P0(group5) and adult (group6).