Italian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of obstetrics and gynaecology (Tokyo, Japan) 1995-Dec

Immunohistochemical detection of p53 overexpression in formalin-fixed, paraffin-embedded sections of endometrial carcinoma.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
K Iwai
T Hachisuga
T Iwasaka
H Sugimori

Parole chiave

Astratto

OBJECTIVE

In the past, immunohistochemical detection of p53 has been possible only in the case of fresh-frozen tissues. However using CM1 and an enhanced method based on microwave heating and protease digestion enabled the immunohistochemical detection of p53 overexpression in formalin-fixed, paraffin-embedded sections of endometrial carcinoma, although very few positive stainings were obtained without such an enhanced treatment. To evaluate the enhancement method, a comparative study was performed on frozen materials and paraffin-embedded samples.

METHODS

Fifty-three frozen materials, including normal endometrial glands, endometrial hyperplasias and carcinomas, and paraffin-embedded samples from the same patients were used in this study. PAb1801 (mouse monoclonal antibody) was used to analyse p53 overexpression in the frozen sections, while CM1 (rabbit polyclonal anti-p53 antibody) was used for the paraffin sections.

RESULTS

PAb1801 and CM1 staining on normal endometriums and endometrial lesions showed a significant degree of concordance between frozen and paraffin-embedded materials.

CONCLUSIONS

Enhanced immunodetection of p53 in paraffin-embedded tissues will provide a useful alternative to the usual fresh-tissue assay.

Unisciti alla nostra
pagina facebook

Il database di erbe medicinali più completo supportato dalla scienza

  • Funziona in 55 lingue
  • Cure a base di erbe sostenute dalla scienza
  • Riconoscimento delle erbe per immagine
  • Mappa GPS interattiva - tagga le erbe sul luogo (disponibile a breve)
  • Leggi le pubblicazioni scientifiche relative alla tua ricerca
  • Cerca le erbe medicinali in base ai loro effetti
  • Organizza i tuoi interessi e tieniti aggiornato sulle notizie di ricerca, sperimentazioni cliniche e brevetti

Digita un sintomo o una malattia e leggi le erbe che potrebbero aiutare, digita un'erba e osserva le malattie ei sintomi contro cui è usata.
* Tutte le informazioni si basano su ricerche scientifiche pubblicate

Google Play badgeApp Store badge