Number of assays column seems to be always empty in the gene search result table

[ke4]

Step to reproduce:

1. Go to SCXA home page and click on CFTR link from the list of examples

Expected result:

In the resulting table the Number of assays should be populated of the number of cells in the experiment.

Actual result:

In the resulting table the Number of assays missing the number of cells in the experiment.

[ke4]

Here is a screenshot of the bug:

[upendrakumbham]

I verified the backend endpoint, there is no issue with the backend. I could see 'No of Assays" in the payload.

Endpoint : http://localhost:8080/gxa/sc/json/search?q=RNASEK-C17orf49&species=homo+sapiens

{
   "matchingGeneId":"(ENSG00000161939)",
   "results":[
      {
         "element":{
            "longDescription":"As organisms age, cells accumulate genetic and epigenetic changes that eventually lead to impaired organ function or catastrophic failure such as cancer. Here we describe a single-cell transcriptome analysis of 2544 human pancreas cells from donors, spanning six decades of life. We find that islet cells from older donors have increased levels of disorder as measured both by noise in the transcriptome and by the number of cells which display inappropriate hormone expression, revealing a transcriptional instability associated with aging. By analyzing the spectrum of somatic mutations in single cells from previously-healthy donors, we find a specific age-dependent mutational signature characterized by C to A and C to G transversions, indicators of oxidative stress, which is absent in single cells from human brain tissue or in a tumor cell line. Cells carrying a high load of such mutations also express higher levels of stress and senescence markers, including FOS, JUN, and the cytoplasmic superoxide dismutase SOD1, markers previously linked to pancreatic diseases with substantial age-dependent risk, such as type 2 diabetes mellitus and adenocarcinoma. Thus, our single-cell approach unveils gene expression changes and somatic mutations acquired in aging human tissue, and identifies molecular pathways induced by these genetic changes that could influence human disease. Also, our results demonstrate the feasibility of using single-cell RNA-seq data from primary cells to derive meaningful insights into the genetic processes that operate on aging human tissue and to determine which molecular mechanisms are coordinated with these processes. Examination of single cells from primary human pancreas tissue",
            "experimentDescription":"Single cell transcriptome analysis of human pancreas",
            "numberOfAssays":2544,
            "type":"Single-cell RNA-Seq mRNA baseline",
            "factors":[
               "single cell identifier",
               "inferred cell type - ontology labels"
            ],
            "lastUpdated":"13-01-2023",
            "dataProviderDescription":[

            ],
            "dataProviderURL":[

            ],
            "experimentAccession":"E-GEOD-81547",
            "species":"Homo sapiens",
            "speciesReferenceName":"homo sapiens",
            "pubMedIds":[
               "28965763"
            ],
            "pageDescription":"Single cell transcriptome analysis of human pancreas",
            "alternativeViewDescriptions":[

            ],
            "dois":[
               "10.1016/j.cell.2017.09.004"
            ],
            "disclaimer":"",
            "publications":[
               {
                  "pubmedId":"28965763",
                  "doi":"10.1016/j.cell.2017.09.004",
                  "title":"Single-Cell Analysis of Human Pancreas Reveals Transcriptional Signatures of Aging and Somatic Mutation Patterns.",
                  "publicationYear":"2017",
                  "authors":"Enge M, Arda HE, Mignardi M, Beausang J, Bottino R, Kim SK, Quake SR."
               }
            ],
            "alternativeViews":[

            ],
            "url":"http://localhost:8080/gxa/sc/experiments/E-GEOD-81547?geneId\u003dENSG00000161939",
            "markerGenes":[

            ]
         },
         "facets":[
            {
               "value":"islet of langerhans",
               "label":"Islet of langerhans",
               "group":"Organism part",
               "description":"The tissue from which the sample is originally derived, e.g. lung"
            },
            {
               "value":"homo sapiens",
               "label":"Homo sapiens",
               "group":"Species"
            }
         ]
      },
      {
         "element":{
            "longDescription":"We used single-cell RNA-sequencing to generate transcriptional profiles of endocrine and exocrine cell types of the human pancreas. Pancreatic tissue and islets were obtained from six healthy and four T2D cadaveric donors. Islets were cultured and dissociated into single-cell suspension. Viable individual cells were distributed via fluorescence-activated cell sorted (FACS) into 384-well plates containing lysis buffer. Single-cell cDNA libraries were generated using the Smart-seq2 protocol. Gene expression was quantified as reads per kilobase transcript and per million mapped reads (RPKM) using rpkm for genes. Bioinformatics analysis was used to classify cells into cell types without knowledge of cell types or prior purification of cell populations. We revealed subpopulations in endocrine and exocrine cell types, identified genes with interesting correlations to body mass index (BMI) in specific cell types and found transcriptional alterations in T2D. Complementary whole-islet RNA-seq data have also been deposited at ArrayExpress under accession number E-MTAB-5060 (http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-5060).",
            "experimentDescription":"Single-cell RNA-seq analysis of human pancreas from healthy individuals and type 2 diabetes patients",
            "numberOfAssays":3514,
            "type":"Single-cell RNA-Seq mRNA baseline",
            "factors":[
               "single cell identifier",
               "disease",
               "inferred cell type - ontology labels",
               "inferred cell type - authors labels"
            ],
            "lastUpdated":"13-01-2023",
            "dataProviderDescription":[

            ],
            "dataProviderURL":[

            ],
            "experimentAccession":"E-MTAB-5061",
            "species":"Homo sapiens",
            "speciesReferenceName":"homo sapiens",
            "pubMedIds":[
               "27667667"
            ],
            "pageDescription":"Single-cell RNA-seq analysis of human pancreas from healthy individuals and type 2 diabetes patients",
            "alternativeViewDescriptions":[

            ],
            "dois":[
               "10.1016/j.cmet.2016.08.020"
            ],
            "disclaimer":"",
            "publications":[
               {
                  "pubmedId":"27667667",
                  "doi":"10.1016/j.cmet.2016.08.020",
                  "title":"Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes.",
                  "publicationYear":"2016",
                  "authors":"Segerstolpe Å, Palasantza A, Eliasson P, Andersson EM, Andréasson AC, Sun X, Picelli S, Sabirsh A, Clausen M, Bjursell MK, Smith DM, Kasper M, Ämmälä C, Sandberg R."
               }
            ],
            "alternativeViews":[

            ],
            "url":"http://localhost:8080/gxa/sc/experiments/E-MTAB-5061?geneId\u003dENSG00000161939",
            "markerGenes":[
               {
                  "k":19,
                  "clusterIds":[
                     3
                  ],
                  "url":"http://localhost:8080/gxa/sc/experiments/E-MTAB-5061/results?geneId\u003dENSG00000161939\u0026k\u003d19\u0026clusterId\u003d%5B3%5D"
               },
               {
                  "k":21,
                  "clusterIds":[
                     3
                  ],
                  "url":"http://localhost:8080/gxa/sc/experiments/E-MTAB-5061/results?geneId\u003dENSG00000161939\u0026k\u003d21\u0026clusterId\u003d%5B3%5D"
               },
               {
                  "k":25,
                  "clusterIds":[
                     1,
                     8,
                     9
                  ],
                  "url":"http://localhost:8080/gxa/sc/experiments/E-MTAB-5061/results?geneId\u003dENSG00000161939\u0026k\u003d25\u0026clusterId\u003d%5B1,%208,%209%5D"
               }
            ]
         },
         "facets":[
            {
               "value":"pancreas",
               "label":"Pancreas",
               "group":"Organism part",
               "description":"The tissue from which the sample is originally derived, e.g. lung"
            },
            {
               "value":"homo sapiens",
               "label":"Homo sapiens",
               "group":"Species"
            },
            {
               "group":"Marker genes",
               "value":"experiments with marker genes",
               "label":"Experiments with marker genes",
               "description":"A gene that comprises part of the specific expression profile for that cluster"
            }
         ]
      }
   ],
   "checkboxFacetGroups":[
      "Marker genes",
      "Species"
   ]
}