scholarly journals Transcriptional analysis of theClostridium cellulovoransendoglucanase gene,engB

1994 ◽  
Vol 124 (3) ◽  
pp. 277-284 ◽  
Author(s):  
Graeme T. Attwood ◽  
Hans P. Blaschek ◽  
Bryan A. White
Keyword(s):  
Transcriptional Analysis

Registered Report: Transcriptional Analysis of Savings Memory Suggests Forgetting Is Due to Retrieval Failure

2020 ◽  
Author(s):  
Robert Calin-Jageman ◽  
Irina Calin-Jageman ◽  
Tania Rosiles ◽  
Melissa Nguyen ◽  
Annette Garcia ◽  
...  
Keyword(s):  
Memory Trace ◽  
Aplysia Californica ◽  
Transcriptional Response ◽  
Transcriptional Analysis ◽  
Retrieval Failure ◽  
Initial Learning ◽  
Rigorous Test ◽  
Stage 1 ◽  
Induced Changes

[[This is a Stage 2 Registered Report manuscript now accepted for publication at eNeuro. The accepted Stage 1 manuscript is posted here: https://psyarxiv.com/s7dft, and the pre-registration for the project is available here (https://osf.io/fqh8j, 9/11/2019). A link to the final Stage 2 manuscript will be posted after peer review and publication.]] There is fundamental debate about the nature of forgetting: some have argued that it represents the decay of the memory trace, others that the memory trace persists but becomes inaccessible due to retrieval failure. These different accounts of forgetting lead to different predictions about savings memory, the rapid re-learning of seemingly forgotten information. If forgetting is due to decay, then savings requires re-encoding and should thus involve the same mechanisms as initial learning. If forgetting is due to retrieval failure, then savings should be mechanistically distinct from encoding. In this registered report we conducted a pre-registered and rigorous test between these accounts of forgetting. Specifically, we used microarray to characterize the transcriptional correlates of a new memory (1 day after training), a forgotten memory (8 days after training), and a savings memory (8 days after training but with a reminder on day 7 to evoke a long-term savings memory) for sensitization in Aplysia californica (n = 8 samples/group). We found that the re-activation of sensitization during savings does not involve a substantial transcriptional response. Thus, savings is transcriptionally distinct relative to a newer (1-day old) memory, with no co-regulated transcripts, negligible similarity in regulation-ranked ordering of transcripts, and a negligible correlation in training-induced changes in gene expression (r = .04 95% CI [-.12, .20]). Overall, our results suggest that forgetting of sensitization memory represents retrieval failure.

Transcriptional analysis for cholesterol-lowering effects of marine Lactobacillus plantarum Lp10 isolated from kelp

LWT ◽  
2020 ◽  
pp. 110563
Author(s):  
Zhi-Wei Ye ◽  
Tian-Fen Guo ◽  
Can Tang ◽  
Yue Yuan ◽  
Yi Zhao ◽  
...  
Keyword(s):  
Lactobacillus Plantarum ◽  
Transcriptional Analysis ◽  
Cholesterol Lowering

scholarly journals Biphasic Expression of Atypical Chemokine Receptor (ACKR) 2 and ACKR4 in Colorectal Neoplasms in Association with Histopathological Findings

Biomolecules ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 8
Author(s):  
Paulina Lewandowska ◽  
Jaroslaw Wierzbicki ◽  
Marek Zawadzki ◽  
Anil Agrawal ◽  
Małgorzata Krzystek-Korpacka
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Chemokine Receptor ◽  
Growth Pattern ◽  
Chemokine Receptors ◽  
Receptor Expression ◽  
Transcriptional Analysis ◽  
Neoplastic Tissue ◽  
Node Metastasis ◽  
Affected Tissue

Facilitating resolution of inflammation using atypical chemokine receptors (ACKR) as an anticancer strategy is considered but requires a deeper understanding of receptor role in carcinogenesis. We aimed at transcriptional analysis (RTqPCR) of ACKR2 and ACKR4 expression in colorectal adenoma-adenocarcinoma sequence in paired normal-neoplastic tissues from 96 polyps and 51 cancers. On average, ACKR2 was downregulated in neoplastic as compared to non-affected tissue in polyp (by 2.7-fold) and cancer (by 3.1-fold) patients. The maximal downregulation (by 8.2-fold) was observed in adenomas with the highest potential for malignancy and was gradually lessening through cancer stages I-IV, owing to increased receptor expression in tumors. On average, ACKR4 was significantly downregulated solely in adenocarcinomas (by 1.5-fold), less so in patients with lymph node metastasis, owing to a gradual decrease in ACKR4 expression among N0-N1-N2 cancers in non-affected tissue without changes in tumors. In adenomas, ACKR4 downregulation in neoplastic tissue increased with increasing potential for malignancy and contribution of villous growth pattern. ACKR4 expression increased in non-affected tissue with a concomitant decrease in pathological mucosa. In conclusion, the changes in ACKRs expression occur already in precancerous colorectal lesions, culminating in the adenomas with the highest potential for malignancy. Therefore, chemoprevention by manipulating ACKRs’ expression is worth exploration.

Integrated genomic and transcriptional analysis of the in vitro evolution of telomerase-immortalized urothelial cells (TERT-NHUC)

2009 ◽  
Vol 48 (8) ◽  
pp. 694-710 ◽  
Author(s):  
Emma J. Chapman ◽  
Sarah V. Williams ◽  
Fiona M. Platt ◽  
Carolyn D. Hurst ◽  
Philip Chambers ◽  
...  
Keyword(s):  
Transcriptional Analysis ◽  
Urothelial Cells ◽  
In Vitro Evolution

scholarly journals The host transcriptional response to Candidemia is dominated by neutrophil activation and heme biosynthesis and supports novel diagnostic approaches

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Julie M. Steinbrink ◽  
Rachel A. Myers ◽  
Kaiyuan Hua ◽  
Melissa D. Johnson ◽  
Jessica L. Seidelman ◽  
...  
Keyword(s):  
Immune Response ◽  
Bacterial Infection ◽  
Viral Infection ◽  
Fungal Infection ◽  
Host Response ◽  
Hospitalized Patients ◽  
Neutrophil Activation ◽  
Heme Biosynthesis ◽  
Transcriptional Analysis ◽  
Diagnostic Approaches

Abstract Background Candidemia is one of the most common nosocomial bloodstream infections in the United States, causing significant morbidity and mortality in hospitalized patients, but the breadth of the host response to Candida infections in human patients remains poorly defined. Methods In order to better define the host response to Candida infection at the transcriptional level, we performed RNA sequencing on serial peripheral blood samples from 48 hospitalized patients with blood cultures positive for Candida species and compared them to patients with other acute viral, bacterial, and non-infectious illnesses. Regularized multinomial regression was utilized to develop pathogen class-specific gene expression classifiers. Results Candidemia triggers a unique, robust, and conserved transcriptomic response in human hosts with 1641 genes differentially upregulated compared to healthy controls. Many of these genes corresponded to components of the immune response to fungal infection, heavily weighted toward neutrophil activation, heme biosynthesis, and T cell signaling. We developed pathogen class-specific classifiers from these unique signals capable of identifying and differentiating candidemia, viral, or bacterial infection across a variety of hosts with a high degree of accuracy (auROC 0.98 for candidemia, 0.99 for viral and bacterial infection). This classifier was validated on two separate human cohorts (auROC 0.88 for viral infection and 0.87 for bacterial infection in one cohort; auROC 0.97 in another cohort) and an in vitro model (auROC 0.94 for fungal infection, 0.96 for bacterial, and 0.90 for viral infection). Conclusions Transcriptional analysis of circulating leukocytes in patients with acute Candida infections defines novel aspects of the breadth of the human immune response during candidemia and suggests promising diagnostic approaches for simultaneously differentiating multiple types of clinical illnesses in at-risk, acutely ill patients.

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