Decoding the causal drivers of spatial cellular topology Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.03.19.644241
Decoding how cells influence and communicate with each other in space is fundamental for understanding tissue organization. However, existing approaches either overlook spatial context entirely or rely solely on local cell-cell adjacency, failing to capture how global tissue topology shapes cellular communication. Here, we present GLACIER, which introduces spatial Granger causality to infer transcriptional and signaling relationships that emerge from tissue organization. By combining GASTON’s global isodepth coordinate with Velorama’s graph-based causal inference framework, we enable bidirectional inference of regulatory relationships along spatial axes, identifying transcription factortarget interactions and ligand-receptor pairs that operate across spatial domains. Applying GLACIER to single-cell spatial transcriptomics data from the mouse cerebellum, we identify both continuous within-cell-type regulatory gradients and discontinuous drivers at layer interfaces, while distinguishing between forward and backward cellular communication along the isodepth axis. Our approach reveals how tissue architecture directs patterns of cellular communication, providing a framework for understanding spatially-encoded regulatory programs. Software availability https://github.com/rohitsinghlab/glacier .
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.03.19.644241
- https://www.biorxiv.org/content/biorxiv/early/2025/03/20/2025.03.19.644241.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408657874
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4408657874Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2025.03.19.644241Digital Object Identifier
- Title
-
Decoding the causal drivers of spatial cellular topologyWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-03-20Full publication date if available
- Authors
-
P.M. Shankar, Huan Liang, Uthsav Chitra, Rohit SinghList of authors in order
- Landing page
-
https://doi.org/10.1101/2025.03.19.644241Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2025/03/20/2025.03.19.644241.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2025/03/20/2025.03.19.644241.full.pdfDirect OA link when available
- Concepts
-
Decoding methods, Topology (electrical circuits), Computer science, Telecommunications, Mathematics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
53Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4408657874 |
|---|---|
| doi | https://doi.org/10.1101/2025.03.19.644241 |
| ids.doi | https://doi.org/10.1101/2025.03.19.644241 |
| ids.openalex | https://openalex.org/W4408657874 |
| fwci | 3.5976692 |
| type | preprint |
| title | Decoding the causal drivers of spatial cellular topology |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12859 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.5519999861717224 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1304 |
| topics[0].subfield.display_name | Biophysics |
| topics[0].display_name | Cell Image Analysis Techniques |
| topics[1].id | https://openalex.org/T11289 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.5113999843597412 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1312 |
| topics[1].subfield.display_name | Molecular Biology |
| topics[1].display_name | Single-cell and spatial transcriptomics |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C57273362 |
| concepts[0].level | 2 |
| concepts[0].score | 0.749388575553894 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q576722 |
| concepts[0].display_name | Decoding methods |
| concepts[1].id | https://openalex.org/C184720557 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6242512464523315 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q7825049 |
| concepts[1].display_name | Topology (electrical circuits) |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.5530317425727844 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C76155785 |
| concepts[3].level | 1 |
| concepts[3].score | 0.22447720170021057 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[3].display_name | Telecommunications |
| concepts[4].id | https://openalex.org/C33923547 |
| concepts[4].level | 0 |
| concepts[4].score | 0.19703298807144165 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[4].display_name | Mathematics |
| concepts[5].id | https://openalex.org/C114614502 |
| concepts[5].level | 1 |
| concepts[5].score | 0.08355453610420227 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q76592 |
| concepts[5].display_name | Combinatorics |
| keywords[0].id | https://openalex.org/keywords/decoding-methods |
| keywords[0].score | 0.749388575553894 |
| keywords[0].display_name | Decoding methods |
| keywords[1].id | https://openalex.org/keywords/topology |
| keywords[1].score | 0.6242512464523315 |
| keywords[1].display_name | Topology (electrical circuits) |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.5530317425727844 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/telecommunications |
| keywords[3].score | 0.22447720170021057 |
| keywords[3].display_name | Telecommunications |
| keywords[4].id | https://openalex.org/keywords/mathematics |
| keywords[4].score | 0.19703298807144165 |
| keywords[4].display_name | Mathematics |
| keywords[5].id | https://openalex.org/keywords/combinatorics |
| keywords[5].score | 0.08355453610420227 |
| keywords[5].display_name | Combinatorics |
| language | en |
| locations[0].id | doi:10.1101/2025.03.19.644241 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402567 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| locations[0].source.host_organization | https://openalex.org/I2750212522 |
| locations[0].source.host_organization_name | Cold Spring Harbor Laboratory |
| locations[0].source.host_organization_lineage | https://openalex.org/I2750212522 |
| locations[0].license | |
| locations[0].pdf_url | https://www.biorxiv.org/content/biorxiv/early/2025/03/20/2025.03.19.644241.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/2025.03.19.644241 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5022547481 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9719-9700 |
| authorships[0].author.display_name | P.M. Shankar |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Prannav Shankar |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5101763202 |
| authorships[1].author.orcid | https://orcid.org/0009-0008-5126-5144 |
| authorships[1].author.display_name | Huan Liang |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Huan Liang |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5007866726 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-6016-0960 |
| authorships[2].author.display_name | Uthsav Chitra |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Uthsav Chitra |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5081688191 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-4084-7340 |
| authorships[3].author.display_name | Rohit Singh |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Rohit Singh |
| authorships[3].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.biorxiv.org/content/biorxiv/early/2025/03/20/2025.03.19.644241.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Decoding the causal drivers of spatial cellular topology |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T12859 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.5519999861717224 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1304 |
| primary_topic.subfield.display_name | Biophysics |
| primary_topic.display_name | Cell Image Analysis Techniques |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W4391913857, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W4396696052 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/2025.03.19.644241 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402567 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| best_oa_location.source.host_organization | https://openalex.org/I2750212522 |
| best_oa_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2025/03/20/2025.03.19.644241.full.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1101/2025.03.19.644241 |
| primary_location.id | doi:10.1101/2025.03.19.644241 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402567 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| primary_location.source.host_organization | https://openalex.org/I2750212522 |
| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| primary_location.license | |
| primary_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2025/03/20/2025.03.19.644241.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2025.03.19.644241 |
| publication_date | 2025-03-20 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4401406616, https://openalex.org/W2955686125, https://openalex.org/W4401798287, https://openalex.org/W4402095224, https://openalex.org/W3191029526, https://openalex.org/W4400140809, https://openalex.org/W4382630883, https://openalex.org/W3112563877, https://openalex.org/W4229033508, https://openalex.org/W3119507732, https://openalex.org/W3165827221, https://openalex.org/W4388997570, https://openalex.org/W4383342368, https://openalex.org/W2143987563, https://openalex.org/W4396966237, https://openalex.org/W4396916233, https://openalex.org/W4307006195, https://openalex.org/W3129476455, https://openalex.org/W2178225550, https://openalex.org/W2038845560, https://openalex.org/W3217360279, https://openalex.org/W4308770506, https://openalex.org/W3133777397, https://openalex.org/W3132661792, https://openalex.org/W2915848182, https://openalex.org/W4362512574, https://openalex.org/W2899224111, https://openalex.org/W4300862018, https://openalex.org/W3190202966, https://openalex.org/W4210853280, https://openalex.org/W4294053500, https://openalex.org/W2345356016, https://openalex.org/W1938046568, https://openalex.org/W3004844802, https://openalex.org/W2750696266, https://openalex.org/W2059793002, https://openalex.org/W2593410784, https://openalex.org/W2082425146, https://openalex.org/W2048550306, https://openalex.org/W2108412857, https://openalex.org/W4296248804, https://openalex.org/W2599396769, https://openalex.org/W3214614010, https://openalex.org/W2133940094, https://openalex.org/W2416854880, https://openalex.org/W2273229061, https://openalex.org/W2168808956, https://openalex.org/W1973974275, https://openalex.org/W4306797744, https://openalex.org/W4407135307, https://openalex.org/W4389938094, https://openalex.org/W2909924790, https://openalex.org/W4322768301 |
| referenced_works_count | 53 |
| abstract_inverted_index.. | 155 |
| abstract_inverted_index.a | 145 |
| abstract_inverted_index.By | 63 |
| abstract_inverted_index.at | 118 |
| abstract_inverted_index.in | 10 |
| abstract_inverted_index.is | 12 |
| abstract_inverted_index.of | 79, 141 |
| abstract_inverted_index.on | 29 |
| abstract_inverted_index.or | 26 |
| abstract_inverted_index.to | 34, 52, 99 |
| abstract_inverted_index.we | 44, 75, 108 |
| abstract_inverted_index.Our | 133 |
| abstract_inverted_index.and | 5, 55, 89, 115, 125 |
| abstract_inverted_index.for | 14, 147 |
| abstract_inverted_index.how | 2, 36, 136 |
| abstract_inverted_index.the | 105, 130 |
| abstract_inverted_index.both | 110 |
| abstract_inverted_index.data | 103 |
| abstract_inverted_index.each | 8 |
| abstract_inverted_index.from | 60, 104 |
| abstract_inverted_index.rely | 27 |
| abstract_inverted_index.that | 58, 92 |
| abstract_inverted_index.with | 7, 69 |
| abstract_inverted_index.Here, | 43 |
| abstract_inverted_index.along | 82, 129 |
| abstract_inverted_index.axes, | 84 |
| abstract_inverted_index.axis. | 132 |
| abstract_inverted_index.cells | 3 |
| abstract_inverted_index.infer | 53 |
| abstract_inverted_index.layer | 119 |
| abstract_inverted_index.local | 30 |
| abstract_inverted_index.mouse | 106 |
| abstract_inverted_index.other | 9 |
| abstract_inverted_index.pairs | 91 |
| abstract_inverted_index.space | 11 |
| abstract_inverted_index.which | 47 |
| abstract_inverted_index.while | 121 |
| abstract_inverted_index.across | 94 |
| abstract_inverted_index.causal | 72 |
| abstract_inverted_index.either | 21 |
| abstract_inverted_index.emerge | 59 |
| abstract_inverted_index.enable | 76 |
| abstract_inverted_index.global | 37, 66 |
| abstract_inverted_index.shapes | 40 |
| abstract_inverted_index.solely | 28 |
| abstract_inverted_index.tissue | 16, 38, 61, 137 |
| abstract_inverted_index.GLACIER | 98 |
| abstract_inverted_index.Granger | 50 |
| abstract_inverted_index.between | 123 |
| abstract_inverted_index.capture | 35 |
| abstract_inverted_index.context | 24 |
| abstract_inverted_index.directs | 139 |
| abstract_inverted_index.drivers | 117 |
| abstract_inverted_index.failing | 33 |
| abstract_inverted_index.forward | 124 |
| abstract_inverted_index.operate | 93 |
| abstract_inverted_index.present | 45 |
| abstract_inverted_index.reveals | 135 |
| abstract_inverted_index.spatial | 23, 49, 83, 95, 101 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Applying | 97 |
| abstract_inverted_index.Decoding | 1 |
| abstract_inverted_index.GLACIER, | 46 |
| abstract_inverted_index.However, | 18 |
| abstract_inverted_index.Software | 152 |
| abstract_inverted_index.approach | 134 |
| abstract_inverted_index.backward | 126 |
| abstract_inverted_index.cellular | 41, 127, 142 |
| abstract_inverted_index.domains. | 96 |
| abstract_inverted_index.entirely | 25 |
| abstract_inverted_index.existing | 19 |
| abstract_inverted_index.identify | 109 |
| abstract_inverted_index.isodepth | 67, 131 |
| abstract_inverted_index.overlook | 22 |
| abstract_inverted_index.patterns | 140 |
| abstract_inverted_index.topology | 39 |
| abstract_inverted_index.causality | 51 |
| abstract_inverted_index.cell-cell | 31 |
| abstract_inverted_index.combining | 64 |
| abstract_inverted_index.framework | 146 |
| abstract_inverted_index.gradients | 114 |
| abstract_inverted_index.inference | 73, 78 |
| abstract_inverted_index.influence | 4 |
| abstract_inverted_index.programs. | 151 |
| abstract_inverted_index.providing | 144 |
| abstract_inverted_index.signaling | 56 |
| abstract_inverted_index.GASTON’s | 65 |
| abstract_inverted_index.adjacency, | 32 |
| abstract_inverted_index.approaches | 20 |
| abstract_inverted_index.continuous | 111 |
| abstract_inverted_index.coordinate | 68 |
| abstract_inverted_index.framework, | 74 |
| abstract_inverted_index.introduces | 48 |
| abstract_inverted_index.regulatory | 80, 113, 150 |
| abstract_inverted_index.cerebellum, | 107 |
| abstract_inverted_index.communicate | 6 |
| abstract_inverted_index.fundamental | 13 |
| abstract_inverted_index.graph-based | 71 |
| abstract_inverted_index.identifying | 85 |
| abstract_inverted_index.interfaces, | 120 |
| abstract_inverted_index.single-cell | 100 |
| abstract_inverted_index.Velorama’s | 70 |
| abstract_inverted_index.architecture | 138 |
| abstract_inverted_index.availability | 153 |
| abstract_inverted_index.factortarget | 87 |
| abstract_inverted_index.interactions | 88 |
| abstract_inverted_index.bidirectional | 77 |
| abstract_inverted_index.communication | 128 |
| abstract_inverted_index.discontinuous | 116 |
| abstract_inverted_index.organization. | 17, 62 |
| abstract_inverted_index.relationships | 57, 81 |
| abstract_inverted_index.transcription | 86 |
| abstract_inverted_index.understanding | 15, 148 |
| abstract_inverted_index.communication, | 143 |
| abstract_inverted_index.communication. | 42 |
| abstract_inverted_index.distinguishing | 122 |
| abstract_inverted_index.ligand-receptor | 90 |
| abstract_inverted_index.transcriptional | 54 |
| abstract_inverted_index.transcriptomics | 102 |
| abstract_inverted_index.within-cell-type | 112 |
| abstract_inverted_index.spatially-encoded | 149 |
| abstract_inverted_index.https://github.com/rohitsinghlab/glacier | 154 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.8886795 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |