Response to: 'Correspondence on 'Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement'' by Manetti.

Showalter, Kimberly; Magro, Cynthia; Zhang, Yaxia; Spiera, Robert; Orange, Dana E; Gordon, Jessica K

Showalter, Kimberly; Magro, Cynthia; Zhang, Yaxia; Spiera, Robert; Orange, Dana E; Gordon, Jessica K.

Afiliación

Showalter K; Department of Medicine, Division of Rheumatology, Hospital for Special Surgery, New York, New York, USA showalterk@hss.edu.
Magro C; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Zhang Y; Department of Pathology and Clinical Laboratory Medicine, Hospital for Special Surgery, New York, New York, USA.
Spiera R; Department of Medicine, Division of Rheumatology, Hospital for Special Surgery, New York, New York, USA.
Orange DE; Department of Medicine, Division of Rheumatology, Hospital for Special Surgery, New York, New York, USA.
Gordon JK; Center for Clinical and Translational Science, Laboratory of Molecular Neuro-Oncology, The Rockefeller University, New York, New York, USA.

Ann Rheum Dis ; 82(1): e22, 2023 01.

Article en En | MEDLINE | ID: mdl-33158883

Asunto(s)

Esclerodermia Localizada; Esclerodermia Sistémica; Humanos; Esclerodermia Localizada/metabolismo; Células Cultivadas; Expresión Génica; Fibroblastos/metabolismo; Esclerodermia Sistémica/patología; Piel/patología

Palabras clave

autoimmune diseases; fibroblasts; scleroderma; systemic

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Esclerodermia Localizada / Esclerodermia Sistémica Límite: Humans Idioma: En Revista: Ann Rheum Dis Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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