Skip to main content

mcDETECT

Uncovering the dark transcriptome in polarized neuronal compartments with mcDETECT

Chenyang Yuan, Krupa Patel, Hongshun Shi, Hsiao-Lin Wang, Feng Wang, Ronghua Li, Yangping Li, Victor Corces, Hailing Shi, Sulagna Das, Jindan Yu, Peng Jin, Bing Yao* and Jian Hu*

mcDETECT is a computational framework designed to study the dark transcriptome related to polarized compartments in brain using in situ spatial transcriptomics (iST) data. It begins by examining the subcellular distribution of mRNAs in an iST sample. Each mRNA molecule is treated as a distinct point with its own 3D spatial coordinates considering the thickness of the sample. Unlike many cell-type marker genes, which are typically found within the nucleus or soma, compartmentalized mRNAs often form small aggregates outside the soma. mcDETECT uses a density-based clustering approach to identify these extrasomatic aggregates. This involves calculating the Euclidean distance between mRNA points and defining the neighborhood of each point within a specified search radius. Points are then categorized as core points, border points, or noise points based on their reachability from neighboring points. mcDETECT recognizes each connected bundle of core and border points as a mRNA aggregate. To minimize false positives, it excludes aggregates that substantially overlap with somata, which are estimated by dilating the nuclear masks derived from DAPI staining. mcDETECT then repeats this process for multiple granule markers, merging aggregates from different markers that exhibit high spatial overlap. After aggregating across all markers, an additional filtering step removes aggregates containing mRNAs from negative control genes, which are known to be enriched exclusively in nuclei and somata. The remaining aggregates are considered individual RNA granules. mcDETECT then computes the minimum enclosing sphere for each aggregate to connect neighboring mRNA molecules from all measured genes and summarizes their counts, thereby defining the spatial transcriptome profile of individual RNA granules.

Metadata

Release files for mcDETECT 2.1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mcDETECT 2.1.6
File Size Uploaded
mcdetect-2.1.6.tar.gz 21.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for mcDETECT 2.1.6
File Interpreter ABI Platform
mcdetect-2.1.6-py3-none-any.whl Python 3 none any Details

Total release size: 41.5 kB

Release files / mcdetect-2.1.6.tar.gz

Download URL mcdetect-2.1.6.tar.gz
Size 21.0 kB
Tags Source
SHA-256 checksum
How to use checksums
f1162d58fc7ca338ca68ca6408ac942372fc32f4bcd0f39bb3c457225045282f
BLAKE2b-256 checksum
How to use checksums
1ffd3769d3bf85e04ef9d820dd5616b0a489e613ad5334319a4d9a4e5428ebf2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.5

Release files / mcdetect-2.1.6-py3-none-any.whl

Download URL mcdetect-2.1.6-py3-none-any.whl
Size 20.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0d10b5a0e0a41412fa5dec1589b856e056b06eae9461a16c765bdc2d7c7b9662
BLAKE2b-256 checksum
How to use checksums
82a03488e288b020058ba039c362671e75d9021e3efbb78cf6d1864aed3bfb95
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.5

Release history Release notifications | RSS feed

This release

2.1.6 This release

2 release files

2.1.5

2 release files

2.1.4

2 release files

2.1.3

2 release files

2.1.2

2 release files

2.1.1

2 release files

2.1.0

2 release files

2.0.15

2 release files

2.0.14

2 release files

2.0.13

2 release files

2.0.12

2 release files

2.0.11

2 release files

2.0.10

2 release files

2.0.9

2 release files

2.0.8

2 release files

2.0.7

2 release files

2.0.6

2 release files

2.0.5

2 release files

2.0.4

2 release files

2.0.3

2 release files

2.0.2

2 release files

2.0.1

2 release files

2.0.0

2 release files

1.0.12

2 release files

1.0.11

2 release files

1.0.9

2 release files

1.0.8

2 release files

1.0.7

2 release files

1.0.6

2 release files

1.0.5

2 release files

1.0.3

2 release files

1.0.2

1 release file

1.0.1

2 release files

1.0.0

3 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page