Figure 5 from PSA Secretion from Single Circulating Tumor Cells of Metastatic Castration-Naïve Prostate Cancer Patients Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1158/2767-9764.29929876
Measurement of PSA secretion of individual CTC captured on a membrane placed below the nanowell array. A, The image of the membrane detached from the nanowell array and stained with PSA-FITC and printed with anti–IgG-PE. The squares are the individual images obtained with the FITC filter cube, and the white spots represent the secreted PSA identified through FITC staining. The position on the membrane indicated with dashed green square is magnified to visualize the imprint of the chip and the PSA secretion on the membrane. B, The PE channel read out of the membrane that the SPOT software used to align the wells (red circles) on the membrane and the numbers indicate the well numbers of the nanowell. C, The corresponding PSA signal in the FITC channel of the respective well. D, Brightfield, PSMA, calcein, and CD45 images of seven nanowells with the corresponding secreted PSA on the membrane. Nanowells 1, 2, 3, and 4 show PSMA+ CTC secreting high, medium, low, and no PSA, respectively. Nanowell 5 shows a well with a PSMA− CTC secreting PSA. Nanowell 6 shows a PSMA− calcein+ cell with no secretion and nanowell 7 shows a well with no cell and no secretion. The green line below the nanowell images indicates the intensity of the fluorescent signal detected across the image.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1158/2767-9764.29929876
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413293083
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413293083Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1158/2767-9764.29929876Digital Object Identifier
- Title
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Figure 5 from PSA Secretion from Single Circulating Tumor Cells of Metastatic Castration-Naïve Prostate Cancer PatientsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
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2025-08-18Full publication date if available
- Authors
-
Eshwari Dathathri, Fikri Abali, Michiel Stevens, Richell Booijink, Tanja C. van Dijk, Khrystany T. Isebia, John W.M. Martens, Jaco Kraan, Nick Beije, Martijn P. Lolkema, Peter A.W. te Boekhorst, Paul Hamberg, Brigitte C.M. Haberkorn, Danny Houtsma, Joan van den Bosch, Wendy M. van der Deure, Ruchi Bansal, Leon W.M.M. TerstappenList of authors in order
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https://doi.org/10.1158/2767-9764.29929876Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1158/2767-9764.29929876Direct OA link when available
- Concepts
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Prostate cancer, Circulating tumor cell, Castration, Medicine, Secretion, Oncology, Internal medicine, Cancer, Cancer research, Metastasis, HormoneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.staining. | 58 |
| abstract_inverted_index.visualize | 72 |
| abstract_inverted_index.identified | 55 |
| abstract_inverted_index.individual | 5, 39 |
| abstract_inverted_index.respective | 129 |
| abstract_inverted_index.secretion. | 198 |
| abstract_inverted_index.fluorescent | 211 |
| abstract_inverted_index.Brightfield, | 132 |
| abstract_inverted_index.corresponding | 120, 143 |
| abstract_inverted_index.respectively. | 165 |
| abstract_inverted_index.anti–IgG-PE. | 34 |
| abstract_inverted_index.image.</p> | 216 |
| abstract_inverted_index.<p>Measurement | 0 |
| abstract_inverted_index.<b>A,</b> | 16 |
| abstract_inverted_index.<b>B,</b> | 85 |
| abstract_inverted_index.<b>C,</b> | 118 |
| abstract_inverted_index.<b>D,</b> | 131 |
| abstract_inverted_index.PSMA<sup>−</sup> | 173, 181 |
| abstract_inverted_index.calcein<sup>+</sup> | 182 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 18 |
| citation_normalized_percentile.value | 0.49770226 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |