Similar Datasets
Project description:Type 1 diabetes mellitus (T1DM) results from immune mediated destruction of pancreatic beta cells. However, clinical and immunologic phenotypes of T1DM are variable. Several auto-antibodies including GADA, IA-2A, and ZnT8A, were identified in T1DM, but the prevalence of these auto-antibodies varied for a broad spectrum of T1DM. Here, we systemically profiled auto-antibodies from serum samples of 16 T1DM, 16 type 2 diabetes (T2DM) patients, and 27 healthy controls with normal glucose tolerance (NGT) using protein microarrays containing 9,480 proteins. Among 9,480 different proteins on the array, we identified novel auto-antibody candidates (EEF1A1-AAb and UBE2L3-AAb) by M-test coupled with PLS-DA. These auto-antibodies were highly present in T1DM than controls and detected in 40% of T1DM without GADA. Furthermore, these auto-antibodies might help to differentiate subtype of T1DM when combined with GADA. These novel auto-antibodies provide new diagnostic information of T1DM, as well as new insights into the pathogenesis of T1DM.
2014-07-30 | GSE50866 | GEO
Project description:Therapeutical hypnosis is proven to be an effective medical support to chemotherapy: it was shown that it can reduce the pain, anxiety, fatigue felt by the patient.
Yet, hypnosis requires the presence of an hypnotherapist, which is why auto-hypnosis could be an efficient alternative to handle the side effects of chemotherapy.
In this study, colorectal cancer and breast cancer patients are either taught auto-hypnosis or are taken in standard care for their chemotherapy.
The life quality score (QLQC30) assessed during and after chemotherapies will determine if auto-hypnosis is a good medical support in chemotherapies’ adverse effects management.
The proven benefices of auto-hypnosis in the handling of the side effects of chemotherapies could improve the quality of life of cancer affected patients.
| 2265573 | ecrin-mdr-crc
Project description:Auto-antibody (Ab) profiles between acute-onset diffuse ILD (AoDILD) and stable states of 25 collagen disease patients were compared to screen biomarkers or pathogenic auto-Abs.
2017-02-09 | GSE59687 | GEO
Project description:Type 1 diabetes mellitus (T1DM) results from immune mediated destruction of pancreatic beta cells. However, clinical and immunologic phenotypes of T1DM are variable. Several auto-antibodies including GADA, IA-2A, and ZnT8A, were identified in T1DM, but the prevalence of these auto-antibodies varied for a broad spectrum of T1DM. Here, we systemically profiled auto-antibodies from serum samples of 16 T1DM, 16 type 2 diabetes (T2DM) patients, and 27 healthy controls with normal glucose tolerance (NGT) using protein microarrays containing 9,480 proteins. Among 9,480 different proteins on the array, we identified novel auto-antibody candidates (EEF1A1-AAb and UBE2L3-AAb) by M-test coupled with PLS-DA. These auto-antibodies were highly present in T1DM than controls and detected in 40% of T1DM without GADA. Furthermore, these auto-antibodies might help to differentiate subtype of T1DM when combined with GADA. These novel auto-antibodies provide new diagnostic information of T1DM, as well as new insights into the pathogenesis of T1DM. Auto-antibodies from serum samples were profiled using a high-density, fluorescence-based protein microarray containing duplicate spots of 9,480 human proteins derived from the Ultimate ORF collection The cohort of patients and controls consisted of 16 T1DM, 16 T2DM patients, and 27 healthy controls with NGT. This cohort was used to screen candidate auto-antibodies using protein microarrays (ProtoArray platform version 5.0, Invitrogen Corp., Carlsbad, CA). Serum samples were drawn from T1DM patients who have 1) fasting C-peptide level <0.3 nmol/L or serum C-peptide <0.6 nmol/L after glucagon loading, 2) initiation of insulin treatment within six months after diagnosis, and 3) duration of diabetes M-bM-^IM-$12 months. Mean age of T1DM in the first cohort was 42 M-BM-1 16 years. The control serum samples were obtained from T2DM patients who were treated only with oral anti-diabetic drug at least 5 years and from NGTs who had no history of diabetes, no first-degree relatives with diabetes, a fasting plasma glucose concentration of <6.1 mmol/l, and a HbA1c value of <5.8%.
2014-07-30 | E-GEOD-50866 | biostudies-arrayexpress
Project description:After characterizing super-enhancer-associated chromatin dynamics accompanied by malignant progression of skin stem cells, we show that ETS family members auto-regulate themselves and a cohort of cancer-associated super-enhancer transcription factors which together are essential for tumor maintenance. Mouse skin squamouse cell carcinoma (SCC) tumor-initiating stem cells (SCs) were FACS-purified for ChIP-sequencing.
2015-11-22 | E-GEOD-72145 | biostudies-arrayexpress
Project description:After characterizing super-enhancer-associated chromatin dynamics accompanied by malignant progression of skin stem cells, we show that ETS family members auto-regulate themselves and a cohort of cancer-associated super-enhancer transcription factors which together are essential for tumor maintenance. Control and ETS2(T72D) super-activated epidermal basal stem cells were FACS-purified for ChIP-sequencing.
2015-11-22 | E-GEOD-74867 | biostudies-arrayexpress
Project description:Epigenetic control of gene expression occurs through discrete spatial chromosomal units called topologically associating domains (TADs), but the exact spatial requirements of most genes are unknown; this is of particular interest for genes involved in disease. We therefore applied high-resolution chromosomal conformation capture-sequencing to map the three-dimensional (3D) organization of the locus encoding the key myeloid transcription factor PU.1 in healthy monocytes and acute myeloid leukemia (AML) cells. We identified a dynamic ~75kb unit (SubTAD) as the genomic region in which spatial interactions between PU.1 gene regulatory elements occur during myeloid differentiation and are interrupted in AML. Within this SubTAD, initiating the spatial chromosomal interactions requires PU.1 auto-regulation and recruitment of the chromatin-adaptor protein LDB1 (LIM domain-binding protein 1). However, once formed, this SubTAD remains stable even when auto-regulation is impaired. Thus, our data support that PU.1 auto-regulation functions in a ‘hit-and-run’ manner, whereby it organizes chromosomal loops to create a transcriptionally active chromatin architecture.
2018-10-15 | GSE110683 | GEO
Project description:Glucocorticoids (GCs) are essential steroid hormones that regulate the immune system. GCs have been widely used to treat various inflammation disorders and auto-immune diseases, due to their potent immune repression properties.
2019-03-03 | GSE117057 | GEO
Project description:Glucocorticoids (GCs) are essential steroid hormones that regulate the immune system. GCs have been widely used to treat various inflammation disorders and auto-immune diseases due to their potent immune suppressive properties.
2019-03-03 | GSE109438 | GEO
Project description:The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we analyzed larger RO T1D, HC, and healthy T1D sibling cohorts. In addition, we examined T1D progression by looking at longitudinal samples. UPN727 cells were stimulated with Auto-antibody-negative (AA-) High HLA Risk Siblings plasma (n=30), Auto-antibody-negative (AA-) Low HLA Risk Siblings plasma (n=42), Recent onset T1DM plasma cultured with IL1RA (n=42), or longitudinal series plasma on T1DM progressor (n=27 chips, 5 series), on auto-antibody-positive (AA+) High HLA Risk Siblings (n=54 chips, 9 series), on auto-antibody-negative (AA-) High HLA Risk Siblings (n=60 chips, 12 series), on auto-antibody-negative (AA-) Low HLA Risk Siblings (n=31 chips, 6 series). Gene expression analysis was perfromed in order to evaluate the transcriptional signature associated with T1D.
2014-05-13 | E-GEOD-52724 | biostudies-arrayexpress