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One red cancer cell stands out among uniform blue cells on a tissue surface.
Infographic

Profiling Cancer at Single Cell Resolution: What It Takes

A visual guide to when cell-level data is essential, and how to plan your study from sample prep to data analysis.

Brought to you byParse Biosciences

Bulk sequencing settles many cancer questions. However, when researchers need to trace a signal back to the individual cell that generated it—tumor, immune, or stromal—single cell becomes the better choice. Keeping that attribution takes specific choices across sample preparation, sequencing strategy, and bioinformatics. The trade is worth taking, provided the study design is built to capture those populations from the start.

This infographic provides a quick visual framework for scoping a single cell study. Whether researchers are exploring baseline tumor heterogeneity or therapeutic resistance, the resource shows which choices come before preparing the sample.

Download this infographic to review

  • Six molecular readouts available from one cell, from DNA methylation to chromatin accessibility
  • Which cancer questions bulk answers well, and which need cell-level data
  • The design choices that keep low-abundance cells alive to the sequencer

Sponsored by

  • Parse Biosciences

Top Image Credit:

©iStock, koto_feja

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