Evidence map›Paper›PMID 42729224›Full record

ArticleBio-protocol2026

An Automated, Ventana Discovery Platform-based Imaging Workflow for Simultaneous Quantification of B Cells, Plasma Cells, and Plasmablasts in FFPE Human Tissues.

Patrick S Chang, Caleb Chan, Rajiv Jesudason, Sandra Rost, Cary D Austin

Abstract read
In one paragraph

Article in Bio-protocol, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Patrick S ChangDepartment of Pathology, Genentech, a member of the Roche Group, South San Francisco, CA, USA.
Caleb ChanDepartment of Pathology, Genentech, a member of the Roche Group, South San Francisco, CA, USA.
Rajiv JesudasonDepartment of Pathology, Genentech, a member of the Roche Group, South San Francisco, CA, USA.
Sandra RostDepartment of Pathology, Genentech, a member of the Roche Group, South San Francisco, CA, USA.
Cary D AustinDepartment of Pathology, Genentech, a member of the Roche Group, South San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate, sensitive quantification of B-lineage cells is critical for pharmacodynamic evaluation of B cell-targeted therapies in lupus nephritis (LN) clinical trials. While high-dimensional discovery platforms offer broad profiling, they often lack the sensitivity, quantitative rigor, and throughput needed for precise cell enumeration in renal trial needle biopsies. Traditional immunostaining is hampered by CD20-directed therapeutic masking or downregulation, inadequate sensitivity of CD19 in FFPE tissue, and confounding renal tubular CD138 expression. This protocol details an automated, fit-for-purpose, 5-plex sequential tyramide signal amplification (TSA)-based immunofluorescence assay (CD38, CD79a, CD19, Ki-67, CD138) developed on the Ventana Discovery Ultra platform for deployment on single tissue sections. The workflow anchors B-cell detection on CD79a to ensure sensitivity and utilizes CD38 as an obligate co-marker for CD138+ antibody-secreting cells (ASCs) to definitively exclude the CD138+ epithelial background. Following acquisition via fluorescence whole-slide imaging, a digital analysis pipeline utilizing InstanSeg-based automated segmentation rigorously classifies cell phenotypes to generate precise spatial densities (cells/mm

Indexed as

Antibody-secreting cells (ASCs)B cellsFFPE tissueLupus nephritisPlasmablastsPlasma cellsQuantitative-multiplex immunofluorescenceSpatial density

Identifiers

PMID42729224
PMCPMC13561952

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.