Bioactive recombinant human oncostatin M for NMR-based screening in drug discovery

Mass, Olga A.; Tuccinardi, Joseph; Woodbury, Luke; Wolf, Cody; Grantham, Bri; Holdaway, Kelsey; Pu, Xinzhu; King, Matthew D.; Warner, Don L.; Jorcyk, Cheryl L.; Warner, Lisa

doi:10.1038/s41598-021-95424-6

Cited by 4 publications

(3 citation statements)

References 67 publications

(119 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6-e ). We also found that the pathway activity of oncostatin M, the expression of which was reported to be elevated in the serum of patients with COVID-19 [35], was significantly enriched ( P < 10 − 4 ). At the same time, the most significantly upregulated gene was IL1R, the ligand of which is an important marker of severe symptoms among patients with COVID-19 [11].…”

Section: Resultsmentioning

confidence: 66%

Single-cell colocalization analysis using a deep generative model

Kojima

Mii

Hayashi

et al. 2022

Preprint

View full text Add to dashboard Cite

Analyzing colocalization of single cells with heterogeneous molecular phenotypes is essential for understanding cell-cell interactions, cellular responses to external stimuli, and their biological func- tions in diseases and tissues. However, high-throughput methods for identifying spatial proximity at single-cell resolution are practically unavailable. Here, we introduce DeepCOLOR, a computational framework based on a deep generative model that recovers inter-cellular colocalization networks with single cell resolution by the integration of single cell and spatial transcriptomes. It segre- gates cell populations defined by the colocalization relationships and predicts cell-cell interactions between colocalized single cells. DeepCOLOR could identify plausible cell-cell interaction candi- dates in mouse brain tissues, human squamous cell carcinoma samples, and human lung tissues infected with SARS-CoV-2 by reconstructing spatial colocalization maps at single-cell resolution. DeepCOLOR is typically applicable to studying cell-cell interactions in any spatial niche. Our newly developed computational framework could help uncover molecular pathways across single cells connected with colocalization networks.

show abstract

Section: Resultsmentioning

confidence: 66%

Single-cell colocalization analysis using a deep generative model

Kojima

Mii

Hayashi

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…6-e). We also found that the pathway activity of oncostatin M, the expression of which was reported to be elevated in the serum of patients with COVID-19 [35], was significantly enriched (P < 10 −4 ). At the same time, the most significantly upregulated gene was IL1R, the ligand of which is an important marker of severe symptoms among patients with COVID-19 [11].…”

Section: Alveolar Type II Cells Colocalized With Macrophages In Sars-...mentioning

confidence: 52%

Single-cell colocalization analysis using a deep generative model

Kojima,

Mii,

Hayashi

et al. 2024

Cell Systems

View full text Add to dashboard Cite

“…The compounds proposed in this patent are designed to reduce tumor cell detachment, invasion, and metastasis. Recently, a specific small molecule inhibitor named SMI-10B was characterized and shown to bind to specific amino acids within Site III of OSM via HSQC-NMR (260), and was subsequently confirmed by an independent group using molecular dynamics simulation (261). To date, this is the only patent designed for small molecule inhibition of OSM.…”

Section: Anti-osm Therapeuticsmentioning

confidence: 97%

The clinical relevance of OSM in inflammatory diseases: a comprehensive review

Wolf,

Pruett,

Lighter

et al. 2023

Front. Immunol.

Self Cite

View full text Add to dashboard Cite

Oncostatin M (OSM) is a pleiotropic cytokine involved in a variety of inflammatory responses such as wound healing, liver regeneration, and bone remodeling. As a member of the interleukin-6 (IL-6) family of cytokines, OSM binds the shared receptor gp130, recruits either OSMRβ or LIFRβ, and activates a variety of signaling pathways including the JAK/STAT, MAPK, JNK, and PI3K/AKT pathways. Since its discovery in 1986, OSM has been identified as a significant contributor to a multitude of inflammatory diseases, including arthritis, inflammatory bowel disease, lung and skin disease, cardiovascular disease, and most recently, COVID-19. Additionally, OSM has also been extensively studied in the context of several cancer types including breast, cervical, ovarian, testicular, colon and gastrointestinal, brain,lung, skin, as well as other cancers. While OSM has been recognized as a significant contributor for each of these diseases, and studies have shown OSM inhibition is effective at treating or reducing symptoms, very few therapeutics have succeeded into clinical trials, and none have yet been approved by the FDA for treatment. In this review, we outline the role OSM plays in a variety of inflammatory diseases, including cancer, and outline the previous and current strategies for developing an inhibitor for OSM signaling.

show abstract

Bioactive recombinant human oncostatin M for NMR-based screening in drug discovery

Cited by 4 publications

References 67 publications

Single-cell colocalization analysis using a deep generative model

Single-cell colocalization analysis using a deep generative model

Single-cell colocalization analysis using a deep generative model

The clinical relevance of OSM in inflammatory diseases: a comprehensive review

Contact Info

Product

Resources

About