Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene Expression Profiles of Lymphocytes Obtained from Mice treated with Glatimer Acetate and ither Glatiramatoids

ABSTRACT: Glatiramer acetate (GA; Copaxone), is a complex mixture of synthetic polypeptides approved for treatment of multiple sclerosis (MS). GA is an altered peptide ligand (APL) of myelin basic protein (MBP), an encephalitic autoantigen implicated in MS. GA induces GA-reactive T cells, which upregulate expression of anti-inflammatory and neurotrophic substances in the CNS. The antigenic sequences in glatiramoids cannot be completely characterized; nevertheless, differences among them can cause toxicity. We conducted microarray analyses to determine whether gene expression by GA-reactive lymphocytes from mouse spleens could differentiate GA from other glatiramoids. Expression of 135 genes was unique to cells reactivated by GA vs by intentionally altered GA and other glatiramoids. Significantly (p<0.01) altered expression of 207 genes was observed by cells reactivated by GA vs purported generic GA. Some APLs of MBP have caused serious adverse effects in MS patients. The influence of altered gene expression on glatiramoid safety warrants further investigation. Glatiramoid samples for SPL cell activation were grouped into four categories: 1) Verified GA, which included GA-RS (22 samples) and GA drug product (GA-DP, 34 samples from 30 batches) manufactured by Teva; 2) Deliberately Modified GA (DM-GA; 9 samples), which included glatiramoids made by Teva that were similar to GA but modified in a variety of ways: prepared with different ingredients (e.g., missing a constituent amino acid); prepared with the same amino acids in the same molar ratio as GA, but with defined amino acid sequences and different molecular weights (referred to as peptide markers TV-35 and TV-66); synthesized by a different process (e.g., changing acetolytic cleavage conditions, alternating polymerization initiator); exposed to destabilizing conditions (e.g., degradation by acid, base, and heat); 3) Unverified Glatiramoids, which included 4 samples, TV-5010 and 3 glatiramoids synthesized to be similar to GA but not manufactured using the Teva-patented manufacturing process; and 4) Unverified Generic GA, which included samples from 2 glatiramoids (M-bM-^@M-^\GA-NM-bM-^@M-^] 11 samples from 5 different batches, and 2 M-bM-^@M-^\GA-CM-bM-^@M-^] samples from a single batch) marketed as generic GA manufactured by companies other than Teva .

ORGANISM(S): Mus musculus

SUBMITTER: Inbar Plaschkes

PROVIDER: E-GEOD-40566 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:For decades, policies regarding generic medicines have sought to provide patients with economical access to safe and effective drugs, while encouraging the development of new therapies. This balance is becoming more challenging for physicians and regulators as biologics and non-biological complex drugs (NBCDs) such as glatiramer acetate demonstrate remarkable efficacy, because generics for these medicines are more difficult to assess. We sought to develop computational methods that use transcriptional profiles to compare branded medicines to generics, robustly characterizing differences in biological impact. We combined multiple computational methods to determine whether differentially expressed genes result from random variation, or point to consistent differences in biological impact of the generic compared to the branded medicine. We applied these methods to analyze gene expression data from mouse splenocytes exposed to either branded glatiramer acetate or a generic. The computational methods identified extensive evidence that branded glatiramer acetate has a more consistent biological impact across batches than the generic, and has a distinct impact on regulatory T cells and myeloid lineage cells. In summary, we developed a computational pipeline that integrates multiple methods to compare two medicines in an innovative way. This pipeline, and the specific findings distinguishing branded glatiramer acetate from a generic, can help physicians and regulators take appropriate steps to ensure safety and efficacy. Glatiramoid samples for SPL cell activation were grouped into four categories: 1) Verified GA, which included GA-RS (22 biological samples) and GA drug product (GA-DP, 34 biological samples from 30 batches) manufactured by Teva; 2) Deliberately Modified GA (DM-GA; 9 biological samples), which included glatiramoids made by Teva that were similar to GA but modified in a variety of ways: prepared with different ingredients (e.g., missing a constituent amino acid); prepared with the same amino acids in the same molar ratio as GA, but with defined amino acid sequences and different molecular weights (referred to as peptide markers TV-35 and TV-66); synthesized by a different process (e.g., changing acetolytic cleavage conditions, alternating polymerization initiator); exposed to destabilizing conditions (e.g., degradation by acid, base, and heat); 3) Unverified Glatiramoids, which included 4 biological samples, TV-5010 and 3 glatiramoids synthesized to be similar to GA but not manufactured using the Teva-patented manufacturing process; and 4) Unverified Generic GA, which included samples from 2 glatiramoids (M-bM-^@M-^\GA-QM-bM-^@M-^] 11 biological samples from 5 different batches, and 2 M-bM-^@M-^\GA-CM-bM-^@M-^] samples from a single batch) marketed as generic GA manufactured by companies other than Teva.

Project description:Cold storage (CS) is widely used to extend fruit postharvest. In peach, chilling injuries may cause intense juice loss leading to a dry âwoollyâ texture of the fruit flesh. The disturbance, named woolliness, is associated to abnormal pectin metabolism and results in anatomical and physiological alterations. Application of gibberellic acid (GA) at the initial stages of pit hardening has been shown to impair woolliness incidence, however the mechanisms controlling the response remain unknown. We have employed genome wide transcription analyses to investigate the effects of GA application and CS of peaches. Approximately half (48.26%, 13846) of the investigated genes exhibited significant differential expression in response to the treatments. Gene ontology classes associated to cellular and developmental processes were overrepresented among the differentially regulated genes, whereas sequences classified in cell death and immune response categories were underrepresented. Gene set enrichment analyses demonstrated a predominant role of CS in repressing the transcription of genes associated to cell wall metabolism. In contrast, genes involved in hormone metabolism and signaling exhibited a more complex transcriptional response to the factors, indicating an extensive network of crosstalk between GA and low temperatures. Time course transcriptional profiling analyses also confirmed the involvement of cell wall metabolism genes in woolliness onset in peach. Overall, our results provide further insights on the mechanisms controlling the complex phenotypes associated to postharvest textural changes in peach. Four samples (CONT, CONTcs, GA3, GA3cs), each with three biological replicates (R1, R2 and R3), were analyzed. Control samples (CONT and CONTcs) consist of peach mesocarp not treated with GA3 at pit hardening, and either assayed at harvest (CONT) or after 15 days of cold storage (CONTcs). GA3 samples (GA3 and GA3cs) consist of peach mesocarp treated with GA3 at pit hardening, and either assayed at harvest (GA3) or after 15 days of cold storage (GA3cs).

Dataset Information

Gene Expression Profiles of Lymphocytes Obtained from Mice treated with Glatimer Acetate and ither Glatiramatoids

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets