---
id: "claim:quantifying-orthogonal-barcodes-for-sequence-census-assays-2022-10-10-biorxiv:c5420b7475df7e2fa58e"
kind: "claim"
title: "Barcodes can quantify orthogonal biological or technical information in multimodal genomics."
description: ""
url: "https://sina.bio/claim/barcodes-can-quantify-orthogonal-biological-or-technical-information-in-d6a279ff"
---

# Barcodes can quantify orthogonal biological or technical information in multimodal genomics.

## Content

Barcodes can quantify orthogonal biological or technical information in multimodal genomics.

## Metadata

```json
{
  "claim_position": 48,
  "source_publication_id": "version:quantifying-orthogonal-barcodes-for-sequence-census-assays--2022-10-10-biorxiv",
  "source_work_id": "work:quantifying-orthogonal-barcodes-for-sequence-census-assays"
}
```

## Connections (1)

### Quantifying orthogonal barcodes for sequence census assays

- ID: `version:quantifying-orthogonal-barcodes-for-sequence-census-assays--2022-10-10-biorxiv`
- Kind: `publication`
- Direction: `incoming`
- URL: <https://sina.bio/publication/quantifying-orthogonal-barcodes-for-sequence-census-assays-cc9d35e3>

This publication contains this grounded claim.

> Single-cell RNA sequencing assays rely on unique sequences of nucleotides ("barcodes") to associate sequences from mRNA molecules with individual cells. This strategy has been extended to quantify orthogonal biological or technical information in what is known as "multimodal" genomics. For example, the 10x Genomics Feature Barcoding assay quantifies the expression of cell-surface proteins using targeted antibody barcodes ("Feature Barcode Overview -Software -Single Cell Gene Expression -Official 10x Genomics Support" n.d.). The ClickTag (Gehring et al. 2020), Multiseq (McGinnis et al. 2019), and Cell Hashing (Stoeckius et al. 2018) assays, on the other hand, use custom sample-specific barcodes to group cells enabling multiplexing and reducing batch effects. Moreover, similar approaches have been used for CRISPR screens (Dixit et al. 2016; Datlinger et al. 2017; Schraivogel et al. 2020), targeted perturbation assays (Gehring et al. 2020; Srivatsan et al. 2020), and recently for spatial genomics assays (Srivatsan et al. 2021).

Source: 2022-10-10-biorxiv.pdf — <https://sina.bio/source/2022-10-10-biorxiv-pdf>